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1.329.397s.478.609.478 1.033v.662h-2.18c-1.329 0-2.366.265-3.136.821s-1.143 1.325-1.143 2.305a3.1 3.1 0 0 0 .372 1.483 2.56 2.56 0 0 0 1.09 1.033c.478.265 1.037.371 1.648.371.824 0 1.489-.212 2.047-.636zm-2.233-1.669a1.08 1.08 0 0 1-.425-.874 1.12 1.12 0 0 1 .585-1.033c.372-.239.957-.371 1.701-.371h1.595v.371c0 .318-.08.636-.266.98a2.35 2.35 0 0 1-.824.874c-.372.238-.771.344-1.249.344-.452.027-.824-.079-1.116-.291zm11.031 2.093V14.57c0-1.086.239-1.907.691-2.464s1.09-.848 1.861-.848a3.3 3.3 0 0 1 1.037.159v-2.41c-.159-.053-.319-.079-.478-.106s-.346-.026-.532-.026c-.611 0-1.143.212-1.568.636s-.771 1.033-.983 1.775V8.954h-2.499v9.748h2.472v.026zm7.681 0v-3.152l.904-.848 2.924 4h2.977l-4.173-5.695 4.093-4.053h-3.136l-3.562 3.444V5.272h-2.472v13.457zm10.819 0V5.272h-2.499v13.457zm3.827 3.629c.93 0 1.675-.185 2.259-.556s1.064-1.033 1.462-1.96l4.492-10.861h-2.578l-2.631 6.808-2.712-6.808h-2.578l4.014 9.722-.213.503c-.133.318-.292.583-.531.715-.213.159-.559.238-1.011.238h-2.073v2.199zM144.092 24a.56.56 0 0 1-.478-.291c-.08-.185-.08-.371.053-.53l5.662-7.762-9.915 4.027c-.08.027-.133.053-.212.053a.52.52 0 0 1-.505-.371c-.08-.212.026-.45.212-.583l8.719-5.113-15.337-.874a.525.525 0 0 1-.505-.53.52.52 0 0 1 .505-.53l15.337-.874-8.719-5.113c-.186-.132-.292-.371-.212-.583s.265-.371.505-.371c.079 0 .132.026.212.053l9.915 4.026-5.662-7.788c-.106-.159-.133-.371-.053-.53a.5.5 0 0 1 .478-.291c.133 0 .266.053.372.159l11.271 11.205c.159.159.239.397.239.609s-.08.424-.239.609l-11.271 11.232a.53.53 0 0 1-.372.159z"></path></g><defs><clipPath id="brand-light_svg__a"><path fill="#fff" d="M0 0h156v24H0z"></path></clipPath></defs></svg></a></div><div class="oldstyles-module__hgjkrG__mainNavGroup styles-module__stVVvG__mainNavGroup main-nav-container" id="mainNavigation"><nav aria-label="Main navigation" class="oldstyles-module__hgjkrG__mainNav"><div class="styles-module__wa_yaW__mainNavParent nav--main-nav-parent"><div class="moreStyles-module__udQsYq__parentNavItem 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https://images.prismic.io/launchdarkly-marketingsite/agpUVqYofJOwHTu-_icon-main-nav--CodeControl.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpUVqYofJOwHTu-_icon-main-nav--CodeControl.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><div class="styles-module__9d2Dpq__productLinkTextContainer"><h6>CodeControl</h6><p>Ship confidently, with automated control built in.</p></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-products-agentcontrol" href="/platform/agent-control/"><div class="styles-module__9d2Dpq__productLinkInner"><div class="styles-module__9d2Dpq__linkInnerIconContainer"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpUVaYofJOwHTu9_icon-main-nav--AgentControl.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpUVaYofJOwHTu9_icon-main-nav--AgentControl.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpUVaYofJOwHTu9_icon-main-nav--AgentControl.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><div class="styles-module__9d2Dpq__productLinkTextContainer"><h6>AgentControl</h6><p>One place to keep your agent behavior under control.</p></div></div></a></div></div><div class="styles-module__9d2Dpq__bookDemoCta"><a class="styles-module__d4f9cW__button styles-module__d4f9cW__variant_lime_outline styles-module__d4f9cW__size_default styles-module__9d2Dpq__bookDemoCtaLink" target="_self" tabindex="0" data-analytics="nav-products-book-a-demo" href="/request-a-demo/"><span class="styles-module__d4f9cW__label">Book a demo</span><span class="styles-module__d4f9cW__arrowBox false"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none" class="styles-module__d4f9cW__arrow" aria-hidden="true"><path fill="currentColor" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></span></a></div></div><div class="overview-wrapper styles-module__9d2Dpq__linksWrapper"><div><p class="styles-module__9d2Dpq__categoryTitle">How it works</p><div class="overview styles-module__9d2Dpq__linksContainer"><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-overview-platform-overview" href="/how-it-works/platform/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agwNv6YofJOwHWkd_platform-overview-icon.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agwNv6YofJOwHWkd_platform-overview-icon.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agwNv6YofJOwHWkd_platform-overview-icon.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Platform overview</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-overview-feature-flags" href="/how-it-works/feature-flags/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpNAKYofJOwHTuE_icon-main-nav--FeatureManagement.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpNAKYofJOwHTuE_icon-main-nav--FeatureManagement.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpNAKYofJOwHTuE_icon-main-nav--FeatureManagement.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Feature flags</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-overview-observability" href="/how-it-works/observability/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpNA6YofJOwHTuH_icon-main-nav--Observability.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpNA6YofJOwHTuH_icon-main-nav--Observability.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpNA6YofJOwHTuH_icon-main-nav--Observability.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Observability</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-overview-experimentation" href="/how-it-works/experimentation/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpM_6YofJOwHTuD_icon-main-nav--Experimentation.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpM_6YofJOwHTuD_icon-main-nav--Experimentation.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpM_6YofJOwHTuD_icon-main-nav--Experimentation.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Experimentation</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-overview-agent-integrations" href="/how-it-works/agent-integrations/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpM_qYofJOwHTuC_icon-main-nav--Agentintegrations.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpM_qYofJOwHTuC_icon-main-nav--Agentintegrations.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpM_qYofJOwHTuC_icon-main-nav--Agentintegrations.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Agent integrations</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-overview-integrations" href="/integrations/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpNAqYofJOwHTuG_icon-main-nav--Integrations.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpNAqYofJOwHTuG_icon-main-nav--Integrations.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpNAqYofJOwHTuG_icon-main-nav--Integrations.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Integrations</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-overview-architecture" href="/how-it-works/platform-architecture/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpNAaYofJOwHTuF_icon-main-nav--Infrastructure.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpNAaYofJOwHTuF_icon-main-nav--Infrastructure.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpNAaYofJOwHTuF_icon-main-nav--Infrastructure.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Architecture</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a></div></div></div></div></div></div></div></div></div><div class="styles-module__wa_yaW__mainNavParent nav--main-nav-parent"><div class="moreStyles-module__udQsYq__parentNavItem styles-module__wa_yaW__parentNavItem main-nav-parent-nav-item"><div class="moreStyles-module__udQsYq__navItem styles-module__wa_yaW__navItem" id="solutions" data-analytics="nav-solutions" role="button" tabindex="0"><span class="moreStyles-module__udQsYq__navItemTitle styles-module__wa_yaW__navItemTitle main-nav-title">Solutions</span><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none" class="styles-module__wa_yaW__mobileCaretClosed "><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div><div class="
moreStyles-module__udQsYq__dropdown
main-nav-dropdown
solutions
styles-module__wa_yaW__dropdown
"><div class="moreStyles-module__udQsYq__dropdownContainer styles-module__wa_yaW__dropdownContainer main-nav-dropdown-container"><div class="moreStyles-module__udQsYq__linksContainer styles-module__wa_yaW__linksContainer"><div class="styles-module__wa_yaW__linksContainerInner"><div class="by-team-wrapper styles-module__9d2Dpq__linksWrapper"><div><p class="styles-module__9d2Dpq__categoryTitle">By Use Case</p><div class="by-team styles-module__9d2Dpq__linksContainer"><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-by-team-release-ai-built-code" href="/solutions/release-ai-built-code/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpOrqYofJOwHTuK_icon-main-nav--ReleaseAI-BuiltCode.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpOrqYofJOwHTuK_icon-main-nav--ReleaseAI-BuiltCode.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpOrqYofJOwHTuK_icon-main-nav--ReleaseAI-BuiltCode.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Release AI-built code</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-by-team-control-ai-agents" href="/solutions/control-ai-agents/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpOrKYofJOwHTuI_icon-main-nav--ControlAIAgents.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpOrKYofJOwHTuI_icon-main-nav--ControlAIAgents.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpOrKYofJOwHTuI_icon-main-nav--ControlAIAgents.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Control AI agents</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-by-team-optimize-ai-performance-cost" href="/solutions/optimize-ai-performance/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpOraYofJOwHTuJ_icon-main-nav--OptimizeAIPerformance%26Cost.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpOraYofJOwHTuJ_icon-main-nav--OptimizeAIPerformance%26Cost.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpOraYofJOwHTuJ_icon-main-nav--OptimizeAIPerformance%26Cost.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Optimize AI performance &amp; cost</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-by-team-self-heal-systems" href="/solutions/self-heal-systems/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpOsKYofJOwHTuM_icon-main-nav--Self-HealSystems.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpOsKYofJOwHTuM_icon-main-nav--Self-HealSystems.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpOsKYofJOwHTuM_icon-main-nav--Self-HealSystems.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Self-heal systems</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-by-team-run-experiments" href="/solutions/run-experiments/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpOr6YofJOwHTuL_icon-main-nav--RunExperiments.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpOr6YofJOwHTuL_icon-main-nav--RunExperiments.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpOr6YofJOwHTuL_icon-main-nav--RunExperiments.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Run experiments</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a></div></div></div><div class="by-industry-wrapper styles-module__9d2Dpq__linksWrapper"><div><p class="styles-module__9d2Dpq__categoryTitle">By Team</p><div class="by-industry styles-module__9d2Dpq__linksContainer"><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-by-industry-ai-engineers" href="/persona/ai-engineers/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpQmaYofJOwHTuS_icon-main-nav--AIEngineer.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpQmaYofJOwHTuS_icon-main-nav--AIEngineer.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpQmaYofJOwHTuS_icon-main-nav--AIEngineer.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>AI engineers</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-by-industry-developers" href="/persona/development-teams/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpQmqYofJOwHTuT_icon-main-nav--Developers.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpQmqYofJOwHTuT_icon-main-nav--Developers.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpQmqYofJOwHTuT_icon-main-nav--Developers.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Developers</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-by-industry-devops-sre" href="/persona/devops-site-reliability-engineer-teams/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpQm6YofJOwHTuU_icon-main-nav--DevOps-SRE.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpQm6YofJOwHTuU_icon-main-nav--DevOps-SRE.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpQm6YofJOwHTuU_icon-main-nav--DevOps-SRE.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>DevOps &amp; SRE</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-by-industry-product-managers" href="/persona/product-managers/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/agpQnaYofJOwHTuW_icon-main-nav--ProductManagers.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, https://images.prismic.io/launchdarkly-marketingsite/agpQnaYofJOwHTuW_icon-main-nav--ProductManagers.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840 2x" src="https://images.prismic.io/launchdarkly-marketingsite/agpQnaYofJOwHTuW_icon-main-nav--ProductManagers.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840"/></div><span>Product managers</span><div class="styles-module__9d2Dpq__arrowIcon"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none"><path fill="#fff" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></div></div></a><a class="styles-module__9d2Dpq__link " target="_self" tabindex="0" data-analytics="nav-by-industry-data-scientists" href="/persona/data-scientists/"><div class="styles-module__9d2Dpq__linkWrapper"><div class="styles-module__9d2Dpq__linkIcon"><img alt="" loading="lazy" width="1920" height="1080" decoding="async" data-nimg="1" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly-marketingsite/8Rpfg-gh7BMefouu_persona-data-scientist-icon-nav.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920 1x, 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class="styles-module__HXqOTa__header"><div class="styles-module__HXqOTa__content"><p class="styles-module__J0n02W__variant_textXsmallCaps styles-module__J0n02W__paragraph styles-module__J0n02W__color_gray04 styles-module__J0n02W__weight_medium">Oct 24, 2019</p><h1 class="styles-module__J0n02W__variant_h3 styles-module__J0n02W__weight_semibold styles-module__HXqOTa__blogTitle">Nine Experimentation Best Practices</h1><div class="styles-module__HXqOTa__authorContainer"><div class="styles-module__5zAopa__author "><a class="styles-module__5zAopa__authorImage" target="_self" tabindex="0" href="/blog/author/dparzych/"><div class="styles-module__nv1SBG__container styles-module__nv1SBG__ratio_natural styles-module__nv1SBG__object-fit_cover prismic-image post-details-author-image"><img alt="" loading="lazy" width="2000" height="1499" decoding="async" data-nimg="1" class="styles-module__nv1SBG__image" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly/a4a4f6c4-a269-4cc9-b3f0-cbcc8acbfae6_604d1814-4d37-4e0e-ac1b-ce47284df5be_KHH_Dawn_%2B39.png?auto=compress%2Cformat&amp;rect=0%2C0%2C878%2C658&amp;w=2048&amp;fit=max&amp;q=80 1x, https://images.prismic.io/launchdarkly/a4a4f6c4-a269-4cc9-b3f0-cbcc8acbfae6_604d1814-4d37-4e0e-ac1b-ce47284df5be_KHH_Dawn_%2B39.png?auto=compress%2Cformat&amp;rect=0%2C0%2C878%2C658&amp;w=3840&amp;fit=max&amp;q=80 2x" src="https://images.prismic.io/launchdarkly/a4a4f6c4-a269-4cc9-b3f0-cbcc8acbfae6_604d1814-4d37-4e0e-ac1b-ce47284df5be_KHH_Dawn_%2B39.png?auto=compress%2Cformat&amp;rect=0%2C0%2C878%2C658&amp;w=3840&amp;fit=max&amp;q=80"/></div></a><div class="styles-module__5zAopa__authorDetails"><a class="styles-module__5zAopa__authorName" target="_self" tabindex="0" href="/blog/author/dparzych/">Dawn Parzych</a><div class="styles-module__5zAopa__authorJobTitle">LaunchDarkly</div></div></div></div></div><div class="styles-module__nv1SBG__container styles-module__nv1SBG__ratio_natural styles-module__nv1SBG__object-fit_cover prismic-image styles-module__HXqOTa__featuredImage"><img alt="Nine Experimentation Best Practices Hero Image" loading="eager" width="2000" height="1126" decoding="async" data-nimg="1" class="styles-module__nv1SBG__image" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly/75cc4ce1-04dd-41b9-8f85-facc12e1cdce_9-best-experimentaition-practices.png?auto=compress%2Cformat&amp;rect=0%2C0%2C2000%2C1126&amp;w=2048&amp;fit=max&amp;q=80 1x, https://images.prismic.io/launchdarkly/75cc4ce1-04dd-41b9-8f85-facc12e1cdce_9-best-experimentaition-practices.png?auto=compress%2Cformat&amp;rect=0%2C0%2C2000%2C1126&amp;w=3840&amp;fit=max&amp;q=80 2x" src="https://images.prismic.io/launchdarkly/75cc4ce1-04dd-41b9-8f85-facc12e1cdce_9-best-experimentaition-practices.png?auto=compress%2Cformat&amp;rect=0%2C0%2C2000%2C1126&amp;w=3840&amp;fit=max&amp;q=80"/></div></div><div class="styles-module__HXqOTa__staticBar"><div id="blog-progress-bar" class="styles-module__lQ92Cq__container"><div class="styles-module__lQ92Cq__progress" style="width:0%"></div></div></div><div class="styles-module__HXqOTa__blogMainContainer"><div class="styles-module__HXqOTa__body"><div class="styles-module__HXqOTa__blogContentWrapper"><article class="blog-post-main-content"><div data-ld-slice-index="0" data-ld-slice-type="wysiwyg"><div class="wysiwyg styles-module__yVDX7W__wysiwyg "><section class="style-module__REJINa__section style-module__REJINa__spacing_bottom_xl style-module__REJINa__spacing_top_xl section"><div class="wysiwyg-content"><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Running experiments helps you bridge gaps between technical and business teams as you learn about user engagement patterns and application behavior. Experiments can validate that your development teams&#x27; efforts align with your business objectives. You can configure an experiment from any feature flag (front-end, back-end, or operational), but what makes a good experiment?</p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Experiments use metrics to validate or disprove gut feelings about whether a new feature is meeting customers&#x27; expectations. With an experiment, you can create and test a hypothesis regarding any aspect of your feature development process.</p><ul class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Will adding white space to the page result in people spending more time on the site?</li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Do alternate images lead to increased sales?</li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Will adding sorting to the page significantly increase load times?</li></ul><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Experiments provide concrete reporting and measurements to ensure that you are launching the best version of a feature that positively impacts company metrics.</p><h2 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_heading styles-module__5zGs1G__size_xs styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">General experimentation best practices</h2><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Let&#x27;s first talk about best practices around creating an experiment. Even with a solid foundation of <a target="_self" tabindex="0" href="/blog/what-are-feature-flags/">feature flagging</a> in your organization, missteps in these areas can yield flawed results. Consider these <a target="_self" tabindex="0" href="/blog/high-impact-experiments/">best practices for experimentation</a>.</p><h3 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">1. Create a culture of experimentation</h3><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Experiments can help you prove or disprove a hypothesis, but only if you are willing to trust the outcome and not try to game the experiment. Creating a culture of experimentation means:</p><ul class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">People feel safe asking questions and questioning the answer. Sometimes the results of an experiment may not be what you were expecting. It&#x27;s ok to question the results and explore anomalies.</li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Ideas are solicited from all team members—business stakeholders, data analysts, product managers, and developers.</li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">A data-driven approach is used to put metrics first, not as something that is only useful in dashboards after a feature ships.</li></ul><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Part of creating a culture of experimentation is providing the tools and training to allow teams to test and validate their features.</p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Tools needed for experimentation:</p><ul class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Tools to help you collect relevant metrics can include monitoring, observability, and business analytics tools.</li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Tools to help you segment users.</li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Tools to clean and analyze the results.</li></ul><h3 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">2. Define what success looks like as a team</h3><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Experiments help you determine when a feature is good enough to release. How do you define what “good enough” is, and who is involved in creating the definition? Experiments can involve a cross-functional team of people or only a handful, depending on the focus of the experiment. If an experiment is on whether to add a “free trial” button to the home page, you may need to involve people from demand generation, design, and business development.<br/>A good experiment requires well-defined and agreed-upon goals and metrics by all stakeholders. Ask yourself, “What does success look like?” Success means improving a specific metric by a specific amount.  “Waiting to see what happens” is not a goal befitting a true experiment. Goals need to be concrete and avoid ambiguous words. Tie goals and metrics to business objectives like increasing revenue, time spent on a page, or growing the subscription base.</p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Examples of poor goals include vague and ambiguous statements:</p><ul class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Users will be happier with the home page. </li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">The response time of search results will improve. </li></ul><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Examples of better goals include concrete statistics: </p><ul class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Paid conversions from a trial will improve by 7%.</li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">The response time of search results will decrease by 450ms. </li></ul><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Looking at a single metric is good; looking at related metrics is even better. Identify complementary metrics and examine how they behave. If you get more new subscribers—that&#x27;s great, but you also want to look at the total number of subscribers. Say you get additional subscribers, but it inadvertently causes existing subscribers to cancel. Your total number of subscribers may be down as a result, does that make the experiment a success? I would say no. </p><h3 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">3. Statistical significance</h3><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">The number of samples will depend on your weekly or monthly active users and your application. No matter the size of the samples, it is important to maintain a relatively equal sample size. Significantly more samples in one cohort can skew the results. </p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Think about how and when users access your application when starting an experiment. If users primarily use your application on the weekends, experiments should include those days. If users visit a site multiple times over the course of a couple of weeks before converting and before the experiment starts, early results may be skewed, showing a positive effect when it was neutral or negative. </p><h3 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">4. Proper segmentation</h3><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">There are two aspects to segmentation. First, how will you segment your users, and second, how will you segment the data? A successful experiment needs two or more cohorts. How you segment your users will vary based on your business and users. Some ways to segment users: </p><ul class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Logged in vs. anonymous </li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">By company </li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">By geography </li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Randomly </li></ul><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">However you segment users, make sure the sample sizes are balanced. Having skewed cohorts will result in skewed results. </p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">When analyzing the data after an experiment, you may want to do additional segmentation to see if the results vary based on other parameters. </p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">In<a href="https://medium.com/airbnb-engineering/experiments-at-airbnb-e2db3abf39e7" target="_blank" tabindex="0" rel="nofollow noreferrer"> AirBnB&#x27;s experimentation blog</a>, they described an experiment where they received neutral results when they were expecting to see an uplift. Analyzing the results per browser, they uncovered a bug in IE that skewed the results. When the bug was fixed, they saw the improvement they expected. If there was not a culture of experimentation where it was ok to question the result and look for answers, this feature might not have rolled out. </p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Caution: don&#x27;t go digging to find data to support your hypothesis. The segmentation should be done to understand anomalies better, not make a case to call the experiment a success. </p><h3 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">5. Recognize your biases</h3><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">And this brings us to the subject of biases. Everybody is biased. This isn&#x27;t a bad thing; it is a matter of how our brains work. Understanding your biases and the biases of others around you will help when running experiments. Our biases influence how we process information, make decisions, and form judgments.</p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Some biases that may creep in: </p><ul class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Anchoring bias - our tendency to rely on the first piece of information we receive. </li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Confirmation bias - searching for information that confirms our beliefs, preconceptions, or hypotheses. </li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Default effect - the tendency to favor the default option when presented with choices. </li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">And my personal favorite, the bias blind spot - our belief that we are less biased than others. </li></ul><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">It is common in an experiment to scrub the data to remove outliers. This is acceptable, but make sure you aren&#x27;t eliminating outliers due to bias. Don&#x27;t invalidate the results of your experiment by removing data points that don&#x27;t fit the story. </p><h3 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">6. Conduct a retro</h3><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Experiments are about learning. So after every experiment, hold a retrospective. Ask: </p><ul class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">Was the experiment a success? Did we get the results we expected? Why or why not? </li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">What questions were raised by the experiment? What questions were answered?</li><li class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_sm">What did we learn? </li></ul><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">And most importantly, should we launch the feature? You can still decide to launch a feature if the results of an experiment were neutral. </p><h2 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_heading styles-module__5zGs1G__size_xs styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">Experimentation feature flags best practices</h2><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Now that we&#x27;ve covered the basics of experiment best practices, let&#x27;s dive into best practices around using feature flags in your experiment. Well done feature flagging is a foundation for a well-run experiment. </p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">If you&#x27;ve embraced <a target="_self" tabindex="0" href="/feature-management/">feature management</a> as part of your teams&#x27; DNA, any group that wants to run an experiment can quickly do so without involving engineering. Follow these best practices to get the most from your existing feature flags. </p><h3 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">7. Consider experiments during the planning phase</h3><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">The decision of whether to wrap a feature in a flag begins during the planning phase. This is also the right time to think about experiments. When creating a feature, evaluate the metrics that will indicate whether the feature is a success—clicks, page load time, registrations, sales, etc. </p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Talk with the various stakeholders to determine whether an experiment may be necessary and provide them with the essential information on the flag, such as the name of the flag, to configure an experiment. </p><h3 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">8. Empower others</h3><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">When giving others the ability to run experiments, make sure you have the proper controls in place to avoid flags accidentally being changed or deleted. Empower other teams to create targeting rules, define segments, and configure roll-out percentages while preventing them from toggling or deleting flags. </p><h3 class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium styles-module__5zGs1G__spacing_bottom_xl">9. Avoid technical debt</h3><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Experimentation flags should be short-lived. This means removing a flag after an experiment completes and is either rolled out to 100% of users or not released. Put processes and reminders in place to remove the flag. We highlighted some creative ways to do this in our<a target="_self" tabindex="0" href="/blog/best-practices-short-term-permanent-flags/"> short-term and permanent best practices</a> blog. </p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"> To get started with your own experiments, check out the<!--$--><a href="https://docs.launchdarkly.com/home/about-experimentation" rel="nofollow noopener noreferrer" target="_self" tabindex="0"> LaunchDarkly documentation</a><!--/$-->.</p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md">Are you looking for other best practices? Check out the other blog posts in the series:</p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"><a target="_self" tabindex="0" href="/blog/operational-flags-best-practices/">Operational flags best practices </a></p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"><a target="_self" tabindex="0" href="/blog/release-management-flags-best-practices/">Release management flags best practices </a></p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"> </p><p class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_md styles-module__5zGs1G__spacing_md"> </p></div></section></div></div><div class="styles-module__HXqOTa__mobileCta"><h5 class="styles-module__HXqOTa__footerTitle">Like what you read?</h5></div></article></div></div><section class="styles-module__o_kpTq__sidebar"><div class="styles-module__o_kpTq__sidebarNewsletter"><div class="styles-module__yaWGhq__sidebarVersion undefined styles-module__yaWGhq__blogNewsletter "><div class="styles-module__yaWGhq__blogNewsletterSection"><div class="styles-module__yaWGhq__textContent"><img class="styles-module__yaWGhq__newsletterIcon" src="https://launchdarkly-marketingsite.cdn.prismic.io/launchdarkly-marketingsite/aimOzgeQX7-eXLr4_icon-bw--notification.svg" alt="Notification icon" loading="lazy"/><h5 class="styles-module__J0n02W__variant_h5 styles-module__J0n02W__weight_medium">Sign up for our newsletter</h5></div><div class="styles-module__yaWGhq__customForm" id="customNewsletterForm"><div class="styles-module__yaWGhq__formElements" id="customNewsletterFormElements"><input id="customNewsletterEmail" type="email" placeholder="Email address" aria-label="Email address" name="email" value=""/><button class="styles-module__d4f9cW__button styles-module__d4f9cW__variant_dark styles-module__d4f9cW__size_default styles-module__yaWGhq__subscribeButton" type="button"><span class="styles-module__d4f9cW__label">Subscribe</span><span class="styles-module__d4f9cW__arrowBox false"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="12" fill="none" class="styles-module__d4f9cW__arrow" aria-hidden="true"><path fill="currentColor" d="M11.283 11.714c.14-3.008 1.827-4.8 4.336-5.035V5.014C13.11 4.78 11.423 3.01 11.283 0L9.416.427A6 6 0 0 0 10.48 3.35c.622.853 1.325 1.408 2.128 1.664H0V6.68h12.608c-.803.256-1.506.81-2.128 1.685a6 6 0 0 0-1.064 2.902z"></path></svg></span></button><div class="styles-module__WD-Msa__tos sidebar-version-form-tos styles-module__yaWGhq__formTos styles-module__yaWGhq__sidebarVersionFormTos"><p>By supplying my contact information, I authorize LaunchDarkly to contact me with personalized marketing communications about our products and services. 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styles-module__5zGs1G__weight_medium">Feature flags vs. feature branching: Why you need both for faster, safer releases</span></a></div></div></li><li class="splide__slide"><div class="styles-module__P4S5fa__wrapper styles-module__P4S5fa__dark styles-module__P4S5fa__isNewBlogStyle"><a class="styles-module__P4S5fa__imageWrapper" target="_self" tabindex="0" href="/guides/30-feature-flagging-best-practices-mega-guide/"><span class="styles-module__P4S5fa__image"><div class="styles-module__nv1SBG__container styles-module__nv1SBG__ratio_natural styles-module__nv1SBG__object-fit_cover prismic-image"><img alt="" loading="lazy" width="685" height="416" decoding="async" data-nimg="1" class="styles-module__nv1SBG__image" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly/f2486ba4-a2fc-4cb9-b41a-57de54ee0aee_Feature+flags+for+beginners_ebook+cover.png?auto=format%2Ccompress&amp;fit=max&amp;w=750&amp;q=80 1x, https://images.prismic.io/launchdarkly/f2486ba4-a2fc-4cb9-b41a-57de54ee0aee_Feature+flags+for+beginners_ebook+cover.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920&amp;q=80 2x" src="https://images.prismic.io/launchdarkly/f2486ba4-a2fc-4cb9-b41a-57de54ee0aee_Feature+flags+for+beginners_ebook+cover.png?auto=format%2Ccompress&amp;fit=max&amp;w=1920&amp;q=80"/></div></span></a><div class="styles-module__P4S5fa__contentContainer "><div class="styles-module__P4S5fa__categoryEyebrow"><span class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_eyebrow">Guide</span></div><a class="styles-module__P4S5fa__title" target="_self" tabindex="0" href="/guides/30-feature-flagging-best-practices-mega-guide/"><span class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium">Best practices for feature flagging</span></a></div></div></li><li class="splide__slide"><div class="styles-module__P4S5fa__wrapper styles-module__P4S5fa__dark styles-module__P4S5fa__isNewBlogStyle"><a class="styles-module__P4S5fa__imageWrapper" target="_self" tabindex="0" href="/blog/feature-flag-considerations-in-a-microservice-architecture/"><span class="styles-module__P4S5fa__image"><div class="styles-module__nv1SBG__container styles-module__nv1SBG__ratio_natural styles-module__nv1SBG__object-fit_cover prismic-image"><img alt="" loading="lazy" width="2000" height="1126" decoding="async" data-nimg="1" class="styles-module__nv1SBG__image" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly/2a2d49cc-2101-44b4-b4f2-7663c8c7e9db_23-01-Feature+Flag+Considerations+in+a+Microservice+Architecture.png?auto=compress%2Cformat&amp;rect=0%2C0%2C4000%2C2252&amp;w=2048&amp;fit=max&amp;q=80 1x, 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considerations for microservice architectures</span></a></div></div></li><li class="splide__slide"><div class="styles-module__P4S5fa__wrapper styles-module__P4S5fa__dark styles-module__P4S5fa__isNewBlogStyle"><a class="styles-module__P4S5fa__imageWrapper" target="_self" tabindex="0" href="/how-it-works/feature-flags/"><span class="styles-module__P4S5fa__image"><div class="styles-module__nv1SBG__container styles-module__nv1SBG__ratio_natural styles-module__nv1SBG__object-fit_cover prismic-image"><img alt="" loading="lazy" width="6000" height="3378" decoding="async" data-nimg="1" class="styles-module__nv1SBG__image" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly/ZvastLVsGrYSwE39_NearInstantFeatureFlagUpdates.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840&amp;q=80 1x" src="https://images.prismic.io/launchdarkly/ZvastLVsGrYSwE39_NearInstantFeatureFlagUpdates.png?auto=format%2Ccompress&amp;fit=max&amp;w=3840&amp;q=80"/></div></span></a><div class="styles-module__P4S5fa__contentContainer "><div class="styles-module__P4S5fa__categoryEyebrow"><span class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_eyebrow">How it works</span></div><a class="styles-module__P4S5fa__title" target="_self" tabindex="0" href="/how-it-works/feature-flags/"><span class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium">How feature flags work for real-time control in production</span></a></div></div></li><li class="splide__slide"><div class="styles-module__P4S5fa__wrapper styles-module__P4S5fa__dark styles-module__P4S5fa__isNewBlogStyle"><a class="styles-module__P4S5fa__imageWrapper" target="_self" tabindex="0" href="/blog/launchdarkly-is-native-on-the-vercel-marketplace/"><span class="styles-module__P4S5fa__image"><div class="styles-module__nv1SBG__container styles-module__nv1SBG__ratio_natural styles-module__nv1SBG__object-fit_cover prismic-image"><img alt="" loading="lazy" width="3000" height="1688" decoding="async" data-nimg="1" class="styles-module__nv1SBG__image" style="color:transparent" srcSet="https://images.prismic.io/launchdarkly/krN9NxRjBxBsJI_m_Blog_08-07_LaunchDarklyisnownativeontheVercelMarketplace.png?auto=format%2Ccompress&amp;rect=0%2C0%2C1919%2C1080&amp;w=3840&amp;fit=max&amp;q=80 1x" src="https://images.prismic.io/launchdarkly/krN9NxRjBxBsJI_m_Blog_08-07_LaunchDarklyisnownativeontheVercelMarketplace.png?auto=format%2Ccompress&amp;rect=0%2C0%2C1919%2C1080&amp;w=3840&amp;fit=max&amp;q=80"/></div></span></a><div class="styles-module__P4S5fa__contentContainer "><div class="styles-module__P4S5fa__categoryEyebrow"><span class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_eyebrow">Feature Flags</span></div><a class="styles-module__P4S5fa__title" target="_self" tabindex="0" href="/blog/launchdarkly-is-native-on-the-vercel-marketplace/"><span class="styles-module__5zGs1G__text 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src="https://images.prismic.io/launchdarkly/Z1JIWpbqstJ98GFS_Evergeen-featuremanagement.png?auto=format%2Ccompress&amp;rect=0%2C0%2C2151%2C1200&amp;w=3840&amp;fit=max&amp;q=80"/></div></span></a><div class="styles-module__P4S5fa__contentContainer "><div class="styles-module__P4S5fa__categoryEyebrow"><span class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_eyebrow">Feature Flags</span></div><a class="styles-module__P4S5fa__title" target="_self" tabindex="0" href="/blog/release-management-tools/"><span class="styles-module__5zGs1G__text styles-module__5zGs1G__variant_body styles-module__5zGs1G__size_lg styles-module__5zGs1G__weight_medium">Release management tools: What they are and how they work</span></a></div></div></li><li class="splide__slide"><div class="styles-module__P4S5fa__wrapper styles-module__P4S5fa__dark styles-module__P4S5fa__isNewBlogStyle"><a class="styles-module__P4S5fa__imageWrapper" target="_self" tabindex="0" 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Experiments can validate that your development teams' efforts align with your business objectives. You can configure an experiment from any feature flag (front-end, back-end, or operational), but what makes a good experiment?\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Experiments use metrics to validate or disprove gut feelings about whether a new feature is meeting customers' expectations. With an experiment, you can create and test a hypothesis regarding any aspect of your feature development process.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Will adding white space to the page result in people spending more time on the site?\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Do alternate images lead to increased sales?\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Will adding sorting to the page significantly increase load times?\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Experiments provide concrete reporting and measurements to ensure that you are launching the best version of a feature that positively impacts company metrics.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading2\",\"text\":\"General experimentation best practices\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Let's first talk about best practices around creating an experiment. Even with a solid foundation of feature flagging in your organization, missteps in these areas can yield flawed results. Consider these best practices for experimentation.\",\"spans\":[{\"start\":101,\"end\":117,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/blog/what-are-feature-flags/\",\"target\":\"_blank\"}},{\"start\":205,\"end\":239,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/blog/high-impact-experiments/\",\"target\":\"_self\"}}],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"1. Create a culture of experimentation\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Experiments can help you prove or disprove a hypothesis, but only if you are willing to trust the outcome and not try to game the experiment. Creating a culture of experimentation means:\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"People feel safe asking questions and questioning the answer. Sometimes the results of an experiment may not be what you were expecting. It's ok to question the results and explore anomalies.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Ideas are solicited from all team members—business stakeholders, data analysts, product managers, and developers.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"A data-driven approach is used to put metrics first, not as something that is only useful in dashboards after a feature ships.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Part of creating a culture of experimentation is providing the tools and training to allow teams to test and validate their features.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Tools needed for experimentation:\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Tools to help you collect relevant metrics can include monitoring, observability, and business analytics tools.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Tools to help you segment users.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Tools to clean and analyze the results.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"2. Define what success looks like as a team\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Experiments help you determine when a feature is good enough to release. How do you define what “good enough” is, and who is involved in creating the definition? Experiments can involve a cross-functional team of people or only a handful, depending on the focus of the experiment. If an experiment is on whether to add a “free trial” button to the home page, you may need to involve people from demand generation, design, and business development.\\nA good experiment requires well-defined and agreed-upon goals and metrics by all stakeholders. Ask yourself, “What does success look like?” Success means improving a specific metric by a specific amount.  “Waiting to see what happens” is not a goal befitting a true experiment. Goals need to be concrete and avoid ambiguous words. Tie goals and metrics to business objectives like increasing revenue, time spent on a page, or growing the subscription base.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Examples of poor goals include vague and ambiguous statements:\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Users will be happier with the home page. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"The response time of search results will improve. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Examples of better goals include concrete statistics: \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Paid conversions from a trial will improve by 7%.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"The response time of search results will decrease by 450ms. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Looking at a single metric is good; looking at related metrics is even better. Identify complementary metrics and examine how they behave. If you get more new subscribers—that's great, but you also want to look at the total number of subscribers. Say you get additional subscribers, but it inadvertently causes existing subscribers to cancel. Your total number of subscribers may be down as a result, does that make the experiment a success? I would say no. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"3. Statistical significance\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"The number of samples will depend on your weekly or monthly active users and your application. No matter the size of the samples, it is important to maintain a relatively equal sample size. Significantly more samples in one cohort can skew the results. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Think about how and when users access your application when starting an experiment. If users primarily use your application on the weekends, experiments should include those days. If users visit a site multiple times over the course of a couple of weeks before converting and before the experiment starts, early results may be skewed, showing a positive effect when it was neutral or negative. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"4. Proper segmentation\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"There are two aspects to segmentation. First, how will you segment your users, and second, how will you segment the data? A successful experiment needs two or more cohorts. How you segment your users will vary based on your business and users. Some ways to segment users: \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Logged in vs. anonymous \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"By company \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"By geography \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Randomly \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"However you segment users, make sure the sample sizes are balanced. Having skewed cohorts will result in skewed results. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"When analyzing the data after an experiment, you may want to do additional segmentation to see if the results vary based on other parameters. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"In AirBnB's experimentation blog, they described an experiment where they received neutral results when they were expecting to see an uplift. Analyzing the results per browser, they uncovered a bug in IE that skewed the results. When the bug was fixed, they saw the improvement they expected. If there was not a culture of experimentation where it was ok to question the result and look for answers, this feature might not have rolled out. \",\"spans\":[{\"start\":2,\"end\":32,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://medium.com/airbnb-engineering/experiments-at-airbnb-e2db3abf39e7\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Caution: don't go digging to find data to support your hypothesis. The segmentation should be done to understand anomalies better, not make a case to call the experiment a success. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"5. Recognize your biases\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"And this brings us to the subject of biases. Everybody is biased. This isn't a bad thing; it is a matter of how our brains work. Understanding your biases and the biases of others around you will help when running experiments. Our biases influence how we process information, make decisions, and form judgments.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Some biases that may creep in: \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Anchoring bias - our tendency to rely on the first piece of information we receive. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Confirmation bias - searching for information that confirms our beliefs, preconceptions, or hypotheses. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Default effect - the tendency to favor the default option when presented with choices. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"And my personal favorite, the bias blind spot - our belief that we are less biased than others. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"It is common in an experiment to scrub the data to remove outliers. This is acceptable, but make sure you aren't eliminating outliers due to bias. Don't invalidate the results of your experiment by removing data points that don't fit the story. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"6. Conduct a retro\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Experiments are about learning. So after every experiment, hold a retrospective. Ask: \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Was the experiment a success? Did we get the results we expected? Why or why not? \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"What questions were raised by the experiment? What questions were answered?\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"What did we learn? \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"And most importantly, should we launch the feature? You can still decide to launch a feature if the results of an experiment were neutral. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading2\",\"text\":\"Experimentation feature flags best practices\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Now that we've covered the basics of experiment best practices, let's dive into best practices around using feature flags in your experiment. Well done feature flagging is a foundation for a well-run experiment. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"If you've embraced feature management as part of your teams' DNA, any group that wants to run an experiment can quickly do so without involving engineering. Follow these best practices to get the most from your existing feature flags. \",\"spans\":[{\"start\":19,\"end\":37,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/feature-management/\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"7. Consider experiments during the planning phase\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"The decision of whether to wrap a feature in a flag begins during the planning phase. This is also the right time to think about experiments. When creating a feature, evaluate the metrics that will indicate whether the feature is a success—clicks, page load time, registrations, sales, etc. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Talk with the various stakeholders to determine whether an experiment may be necessary and provide them with the essential information on the flag, such as the name of the flag, to configure an experiment. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"8. Empower others\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"When giving others the ability to run experiments, make sure you have the proper controls in place to avoid flags accidentally being changed or deleted. Empower other teams to create targeting rules, define segments, and configure roll-out percentages while preventing them from toggling or deleting flags. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"9. 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Here’s what happens when you install LaunchDarkly from the Marketplace:\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"We create a LaunchDarkly account and project for you automatically, with Development, Preview, and Production environments that mirror Vercel's.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Each Vercel native integration environment gets its own SDK key and client-side ID, synced into your Vercel project as environment variables. In LaunchDarkly, your preview deploys will have their own dedicated environment. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"You sign in through Vercel SSO, so there's no separate login to manage. Jump into the full LaunchDarkly app anytime by clicking \\\"Open in LaunchDarkly.\\\"\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"From there, you drop the SDK into your app, read the key from the environment variable that's already there, and start evaluating flags. You skip the usual ritual of copying keys between dashboards and double-checking which one belongs to which environment.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Your flags and projects sync back into Vercel too, so your team can see what exists without switching tools. Rotate your SDK keys, and the environment variables are updated for you.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"image\",\"url\":\"https://images.prismic.io/launchdarkly/snevmFxQW66V-sFP_Blog_08-07_LaunchDarklyisnownativeontheVercelMarketplace_002.png?auto=format,compress\",\"alt\":null,\"copyright\":null,\"dimensions\":{\"width\":1920,\"height\":1054},\"id\":\"snevmFxQW66V-sFP\",\"edit\":{\"x\":0,\"y\":0,\"zoom\":1,\"background\":\"transparent\"}}]},\"items\":[],\"id\":\"wysiwyg$c7bb4197-a336-4413-9aea-6de2828873fe\",\"slice_type\":\"wysiwyg\",\"slice_label\":null},{\"primary\":{\"quote\":[{\"type\":\"paragraph\",\"text\":\"\\\"Every project should start with feature flags—they're what let you and your agents ship at full speed and still control what happens in production. Vercel just made that the default path: a few clicks and LaunchDarkly is wired in before your first deploy.\\\"\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"—Jonathan Nolen, SVP Product, LaunchDarkly\",\"spans\":[{\"start\":0,\"end\":42,\"type\":\"strong\"}],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"breakout_quote$4212de30-4adf-4e9d-825d-9e3d37b22c3c\",\"slice_type\":\"breakout_quote\",\"slice_label\":null},{\"primary\":{\"toc_title\":[],\"wysiwyg\":[{\"type\":\"heading2\",\"text\":\"What you get\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"Fast flags, globally \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"We've collaborated with Vercel on global config evaluation since 2023, when we launched our Global Config integration for Enterprise customers. With the Marketplace integration, that capability comes with self-serve plans, too: Sync your flag targeting to Vercel Global Config and your flags evaluate in Middleware and Vercel Functions with the config sitting next to your code, without a network call back to LaunchDarkly. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"Start small, without a ceiling\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Simple today doesn’t mean limited tomorrow. The marketplace listing gets you flags in minutes, but the project you create from Vercel is a full LaunchDarkly project. It's the same platform teams use for progressive rollouts, guarded releases that can roll back automatically when a metric regresses, experimentation, and AI config management. You grow into that depth without having to migrate off what you started on.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"One invoice, same LaunchDarkly\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Billing runs through Vercel, so LaunchDarkly shows up on your existing Vercel bill. It's the same product at the same pricing as signing up with us directly. Start on our free Developer plan and upgrade when you need to, all managed from Vercel.\",\"spans\":[{\"start\":113,\"end\":125,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/pricing/\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"heading2\",\"text\":\"Meeting you where you build\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"More and more, tools get adopted from inside the platforms where people already build. So we're putting LaunchDarkly in reach: native in the Vercel Marketplace, available through our MCP server for AI coding agents, and integrated with the editors and workflows where developers already live. Wherever you build, flags should be a few clicks away.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"The Vercel partnership is the clearest expression of that so far. Two platforms that both believe shipping should be fast and reversible, now connected so you don't have to choose between moving quickly and staying in control.\",\"spans\":[],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"wysiwyg$b8cc2e5e-9bf5-418c-a56c-8208d9ec308c\",\"slice_type\":\"wysiwyg\",\"slice_label\":null},{\"primary\":{\"quote\":[{\"type\":\"paragraph\",\"text\":\"\\\"Feature flags are how the best frontend teams ship without holding their breath, and LaunchDarkly is the platform that made that discipline real—not just an on/off switch, but progressive delivery, experimentation, and measurement teams can trust. Making it native in the Marketplace puts that depth a few clicks away for every team building on Vercel.\\\"\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"—Hedi Zandi, Head of Vercel Marketplace\",\"spans\":[{\"start\":0,\"end\":39,\"type\":\"strong\"}],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"breakout_quote$5394893e-a6d9-4605-bb08-abfa1e4adbe0\",\"slice_type\":\"breakout_quote\",\"slice_label\":null},{\"primary\":{\"toc_title\":[],\"wysiwyg\":[{\"type\":\"heading2\",\"text\":\"How to get started\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Head to the LaunchDarkly listing on the Vercel Marketplace and click Install. Docs for the integration, including the Global Config setup, are in our Vercel integration documentation. \",\"spans\":[{\"start\":12,\"end\":58,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://vercel.com/marketplace/launchdarkly\",\"target\":\"_blank\"}},{\"start\":150,\"end\":182,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/docs/integrations/vercel\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"The Vercel native integration creates a fresh LaunchDarkly account for you—the fastest path to your first flag, plus project, flag, and SDK key syncing. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"Already using LaunchDarkly?\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Connect your existing account during install instead of creating a new one. With this path, your flag targeting is synced to Vercel Global Config. \",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"The gap between wanting feature flags and shipping behind one just got a lot shorter. Happy shipping!\",\"spans\":[],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"wysiwyg$99db3731-ca11-406b-a2a9-0719fe99e24c\",\"slice_type\":\"wysiwyg\",\"slice_label\":null}],\"meta_title\":[{\"type\":\"heading1\",\"text\":\"LaunchDarkly is now native on the Vercel Marketplace\",\"spans\":[],\"direction\":\"ltr\"}],\"meta_description\":[{\"type\":\"paragraph\",\"text\":\"You can now install LaunchDarkly from the Vercel Marketplace and evaluate your first flag in minutes. 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users.\",\"spans\":[],\"direction\":\"ltr\"}]},{\"bullet_point\":[{\"type\":\"paragraph\",\"text\":\"Feature flags make rollback instant at runtime, with no redeployment, because code activation is decoupled from code deployment.\",\"spans\":[],\"direction\":\"ltr\"}]}],\"id\":\"key_takeaways$ec2b88d6-7078-4171-89c1-697558914c01\",\"slice_type\":\"key_takeaways\",\"slice_label\":null},{\"primary\":{\"toc_title\":[],\"wysiwyg\":[{\"type\":\"paragraph\",\"text\":\"Shipping software used to be simple. You'd push code to production, hope nothing broke, and fix issues as they came up. Unfortunately, that approach doesn't scale when you're deploying multiple times a day across distributed systems.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Release management tools can solve this problem. They help you coordinate deployments, control who sees what features, and recover quickly when (not if) things go wrong. They’re ultimately the control layer between your CI/CD pipeline and your users, sometimes referred to as the feature control plane.\",\"spans\":[{\"start\":220,\"end\":234,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/blog/cicd-best-practices-devops/\",\"target\":\"_blank\"}},{\"start\":280,\"end\":301,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"The problem is there are dozens of tools claiming to handle release management, but they all do different things. Some focus on deployment automation. Others handle environment orchestration. And a few let you control features independently of deployments.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Below, we’ll break down what release management tools actually do, which features matter, leading software options, and how to choose the right ones for your workflow.\",\"spans\":[],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"wysiwyg$29c572ba-a22c-4c77-9b35-28a4140a98c8\",\"slice_type\":\"wysiwyg\",\"slice_label\":null},{\"primary\":{\"toc_title\":[{\"type\":\"paragraph\",\"text\":\"What are release management tools?\",\"spans\":[],\"direction\":\"ltr\"}],\"wysiwyg\":[{\"type\":\"heading2\",\"text\":\"What are release management tools?\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Release management tools coordinate and control how software moves from development to production. They automate deployments, manage rollout scope, track what's running where, and provide rollback mechanisms when issues arise.\",\"spans\":[{\"start\":0,\"end\":226,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"These tools bridge the gap between code being ready and users actually seeing it. Your CI/CD pipeline might build and test code automatically, but release management tools determine when, how, and to whom that code gets released.\",\"spans\":[{\"start\":182,\"end\":186,\"type\":\"em\"},{\"start\":188,\"end\":191,\"type\":\"em\"},{\"start\":197,\"end\":204,\"type\":\"em\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Here's what they typically handle:\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Deployment orchestration: Coordinating releases across multiple services, environments, and infrastructure components. If Service B depends on Service A, the tool guarantees they deploy in the right order.\",\"spans\":[{\"start\":0,\"end\":24,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/docs/guides/infrastructure/deployment-strategies\",\"target\":\"_blank\"}},{\"start\":0,\"end\":25,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Progressive rollouts: Controlling exposure gradually (often via feature flags) (1% of users, then 10%, then 50%) rather than flipping the switch for everyone at once. This limits blast radius when something goes wrong.\",\"spans\":[{\"start\":0,\"end\":20,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/docs/home/releases/progressive-rollouts\",\"target\":\"_blank\"}},{\"start\":0,\"end\":21,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Environment management: Tracking what versions are deployed to dev, staging, and production. Knowing exactly what's running where matters when you're debugging an issue or planning the next release.\",\"spans\":[{\"start\":0,\"end\":22,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/docs/home/account/environment\",\"target\":\"_blank\"}},{\"start\":0,\"end\":23,\"type\":\"strong\"},{\"start\":109,\"end\":115,\"type\":\"em\"},{\"start\":124,\"end\":129,\"type\":\"em\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Rollback capabilities: Reverting to a previous state when a release causes problems. The faster you can roll back, the less downtime your users experience.\",\"spans\":[{\"start\":0,\"end\":21,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/blog/how-to-instantly-roll-back-buggy-features-with-launchdarkly-kill-switch/\",\"target\":\"_blank\"}},{\"start\":0,\"end\":22,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Visibility and auditing: Showing who deployed what, when, and why. This audit trail helps with compliance and post-incident analysis.\",\"spans\":[{\"start\":0,\"end\":24,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Release management tools don't replace your existing continuous integration and delivery pipeline. They extend it by adding control and safety mechanisms around the actual release to users.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"Change management vs. release management\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Change management and release management sometimes get used interchangeably, but they serve different purposes:\",\"spans\":[{\"start\":0,\"end\":40,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/how-it-works/feature-flags/\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Change management is the organizational process for approving and documenting changes to production systems. It's about governance: approval workflows, change advisory boards, and compliance requirements.\",\"spans\":[{\"start\":0,\"end\":17,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Release management is the technical execution of getting code to production safely. It's about mechanics: coordinating deployments, controlling rollouts, and rolling back when needed.\",\"spans\":[{\"start\":0,\"end\":18,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/blog/release-management-guide/\",\"target\":\"_self\"}},{\"start\":0,\"end\":18,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"In practice, they overlap. Release management tools often include approval gates and audit trails that support change management requirements. But change management is the policy, while release management is the implementation.\",\"spans\":[{\"start\":172,\"end\":178,\"type\":\"em\"},{\"start\":212,\"end\":226,\"type\":\"em\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Modern platforms like LaunchDarkly automate the execution side of this process while  enabling governance and compliance through audit trails and approval workflows.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"\\n\",\"spans\":[],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"wysiwyg$e6702f73-61a3-43a7-9ba4-ab9236f7da76\",\"slice_type\":\"wysiwyg\",\"slice_label\":null},{\"primary\":{\"toc_title\":[{\"type\":\"paragraph\",\"text\":\"Why developers need release management software\",\"spans\":[],\"direction\":\"ltr\"}],\"wysiwyg\":[{\"type\":\"heading2\",\"text\":\"Why developers need release management software\",\"spans\":[{\"start\":15,\"end\":19,\"type\":\"em\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Manual releases don't scale. Sure, when you're deploying once a month to a monolith, you can probably coordinate releases via Slack and a shared spreadsheet. But as deployment frequency increases and architectures get more distributed, manual processes become bottlenecks.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Here's what breaks down without proper tooling:\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\" Moving fast safely becomes harder. Every release becomes a high-stakes event because you lack mechanisms to limit blast radius or recover quickly. This makes teams risk-averse, which slows down shipping.\",\"spans\":[{\"start\":0,\"end\":35,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Coordination becomes a nightmare. Microservices mean multiple teams deploying interdependent services. Without orchestration, you're constantly asking \\\"Is Service X deployed yet?\\\" or debugging version mismatches across environments.\",\"spans\":[{\"start\":0,\"end\":33,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Incidents take longer to resolve. When something breaks in production, you need to roll back immediately…not wait for someone to revert commits, rebuild, and redeploy. Manual rollbacks can take minutes or hours. Proper tooling makes them instant.\",\"spans\":[{\"start\":0,\"end\":33,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"You lose visibility. Without centralized tracking, team members have a difficult time knowing what's actually running in production. This makes debugging harder and can create compliance headaches.\",\"spans\":[{\"start\":0,\"end\":20,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Release management tools can solve these problems by automating coordination, offering rapid recovery mechanisms, and providing clear visibility into your releases.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"\\n\",\"spans\":[],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"wysiwyg$0bb51762-ea30-4647-b2a3-5ac2086ac62e\",\"slice_type\":\"wysiwyg\",\"slice_label\":null},{\"primary\":{\"toc_title\":[{\"type\":\"paragraph\",\"text\":\"How Release Management Tools Work\",\"spans\":[],\"direction\":\"ltr\"}],\"wysiwyg\":[{\"type\":\"heading2\",\"text\":\"How Release Management Tools Work\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Release management tools sit between your CI/CD pipeline and production. Your pipeline builds and tests code, and the release tool controls how that code reaches users.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Here's a typical workflow for the release management process:\",\"spans\":[{\"start\":0,\"end\":25,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/blog/release-management-checklist/\",\"target\":\"_blank\"}},{\"start\":34,\"end\":60,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/blog/4-software-release-management-best-practices/\",\"target\":\"_self\"}}],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"The code is deployed to production servers, but it’s not necessarily activated. With feature flags, new code can sit dormant in production, waiting to be turned on.\",\"spans\":[{\"start\":0,\"end\":42,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"The release tool controls exposure. You might start by releasing to internal users, then 1% of production traffic, then 10%, then everyone. The tool manages these rollout rules.\",\"spans\":[{\"start\":0,\"end\":35,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"Monitoring integrations track impact. As you increase exposure, the tool can watch metrics like error rates or latency. Some tools automatically halt rollouts if metrics degrade.\",\"spans\":[{\"start\":0,\"end\":37,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"Rollbacks happen almost instantly. If something breaks, you don't need to redeploy old code. Feature flags let you disable problematic features in milliseconds globally. Infrastructure-focused tools might automate traffic shifting back to the previous deployment.\",\"spans\":[{\"start\":0,\"end\":34,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"Audit trails capture key activities. Who made the change, when, and why. This matters for debugging (\\\"What changed right before the incident?\\\") and compliance.\",\"spans\":[{\"start\":0,\"end\":36,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"The major difference from traditional deployment: you separate deploying code from releasing features. Code can be in production without being active, and that gives you fine-grained control over what users actually see.\",\"spans\":[{\"start\":63,\"end\":77,\"type\":\"em\"},{\"start\":83,\"end\":101,\"type\":\"em\"}],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"wysiwyg$a2d990ee-fcbb-4eaa-b737-98aba697ebde\",\"slice_type\":\"wysiwyg\",\"slice_label\":null},{\"primary\":{\"toc_title\":[{\"type\":\"paragraph\",\"text\":\"7 Best Release Management Tools in 2026\",\"spans\":[],\"direction\":\"ltr\"}],\"wysiwyg\":[{\"type\":\"heading2\",\"text\":\"7 Best Release Management Tools in 2026\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"There’s no single, one-size-fits-all release management tool because teams have different needs. Some prioritize progressive delivery and runtime control. Others need deployment automation across complex infrastructure. Below, we cover a few with different strengths.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"LaunchDarkly\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"Jira\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"Octopus Deploy\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"Statsig\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"Jenkins\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"Spinnaker\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"o-list-item\",\"text\":\"Azure DevOps\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"1. LaunchDarkly\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"LaunchDarkly is a feature management platform that separates code deployment from feature releases. LaunchDarkly is a feature management platform that gives teams control at runtime — the missing layer between deployment and delivery.You deploy code to production with features wrapped in flags, then control who sees what through the LaunchDarkly dashboard. If something breaks, you can disable a feature in milliseconds without needing to redeploy code.\",\"spans\":[{\"start\":0,\"end\":12,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/\",\"target\":\"_blank\"}},{\"start\":163,\"end\":181,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Key Features:\",\"spans\":[{\"start\":0,\"end\":13,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Progressive rollouts with percentage-based targeting and user segmentation\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Instant rollbacks via feature flags (sub-200ms response times)\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Experimentation capabilities to test feature variations and measure impact\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Real-time flag changes without code deploys or restarts\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Integrations with monitoring tools (Datadog, New Relic) and workflows (Slack, Jira)\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Best for: Teams that deploy frequently and need fast rollback mechanisms, or anyone practicing progressive delivery and wanting to decouple deployments from releases.\",\"spans\":[{\"start\":0,\"end\":9,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"2. Jira\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Jira is primarily a project management tool, but Atlassian has built effective release management features into it. You can track release progress, manage dependencies between issues, and coordinate what goes into each release. It's more about planning and visibility than technical execution.\",\"spans\":[{\"start\":0,\"end\":4,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://www.atlassian.com/software/jira\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Key Features:\",\"spans\":[{\"start\":0,\"end\":13,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Release planning with roadmaps and timelines\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Dependency tracking between tickets and releases\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Integration with Bitbucket and other Atlassian tools\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Release notes generation from ticket metadata\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Dashboards showing release status and blockers\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Best for: Product teams already using Jira who need lightweight release planning and tracking, but don't require sophisticated deployment automation tools or progressive rollout capabilities.\",\"spans\":[{\"start\":0,\"end\":9,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"3. Octopus Deploy\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Octopus Deploy focuses on deployment automation and infrastructure orchestration. It handles the mechanics of getting code onto servers, managing configuration across environments, and coordinating multi-step deployments. It’s the execution engine for your release process.\",\"spans\":[{\"start\":0,\"end\":14,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://octopus.com/\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Key Features:\",\"spans\":[{\"start\":0,\"end\":13,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Deployment automation across on-premises, cloud, and hybrid environments\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Environment promotion workflows (dev → staging → production)\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Variable management for environment-specific configurations\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Deployment patterns, including blue-green and canary releases\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Integration with CI tools like Jenkins, Azure DevOps, and GitHub Actions\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Best for: Teams with complex infrastructure requirements who need high-quality deployment automation and environment management, especially in Windows/.NET ecosystems.\",\"spans\":[{\"start\":0,\"end\":9,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"4. Statsig\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Statsig combines feature flagging with experimentation and product analytics. It's built for teams that want to measure the impact of every feature they ship. The platform emphasizes statistical rigor and provides data science-friendly tools for analyzing experiments.\",\"spans\":[{\"start\":0,\"end\":7,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://www.statsig.com/\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Key Features:\",\"spans\":[{\"start\":0,\"end\":13,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Feature flags with targeting rules and progressive rollouts\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Built-in experimentation with Bayesian and Frequentist statistical engines\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Product analytics for tracking user behavior and funnel metrics\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Warehouse-native architecture that works with your existing data stack\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Automated experiment analysis with statistical significance testing\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Best for: Product-led teams and data scientists who want tight integration between feature releases, experimentation, and analytics in a single platform.\",\"spans\":[{\"start\":0,\"end\":9,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"5. Jenkins\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Jenkins is a CI/CD automation server that can handle release management through plugins and pipeline configurations. It's open-source and highly customizable, but you'll need to build most of your release workflow yourself through scripting and plugin integration.\",\"spans\":[{\"start\":0,\"end\":7,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://www.jenkins.io/\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Key Features:\",\"spans\":[{\"start\":0,\"end\":13,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Deployment pipeline automation via Jenkinsfiles\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Massive plugin ecosystem for integrating with virtually any tool\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Approval gates and manual intervention steps in pipelines\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Distributed builds across multiple agents and environments\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Open-source with strong community support\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Best for: Teams that want full control and customization of their release pipeline and have the engineering resources to build and maintain it, or teams already invested in the Jenkins ecosystem.\",\"spans\":[{\"start\":0,\"end\":9,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"6. Spinnaker\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Spinnaker is an open-source, multi-cloud continuous delivery platform originally built by Netflix. It handles complex deployment orchestration across cloud providers and supports advanced deployment strategies out of the box. You get enterprise-grade release capabilities without licensing costs, but you'll need to host and maintain it yourself.\",\"spans\":[{\"start\":0,\"end\":9,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://spinnaker.io/\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Key Features:\",\"spans\":[{\"start\":0,\"end\":13,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Multi-cloud deployment support (AWS, Google Cloud, Azure, Kubernetes)\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Built-in deployment strategies including canary, blue-green, and rolling updates\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Pipeline-as-code for version-controlled release workflows\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Automated canary analysis with metrics integration\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Strong Kubernetes support with manifest-based deployments\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Best for: Platform engineering teams with the resources to run and maintain their own infrastructure, especially those deploying across multiple cloud providers or heavily invested in Kubernetes.\",\"spans\":[{\"start\":0,\"end\":9,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"heading3\",\"text\":\"7. Azure DevOps\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Azure DevOps is Microsoft's integrated platform for the entire software development lifecycle, including release management through Azure Pipelines. It combines CI/CD, release orchestration, and project tracking in one ecosystem. If you're already in the Microsoft world, it offers tight integration with Azure services and decent release capabilities without adding another vendor.\",\"spans\":[{\"start\":0,\"end\":12,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://azure.microsoft.com/en-us/products/devops\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Key Features:\",\"spans\":[{\"start\":0,\"end\":13,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Multi-stage pipelines with approval gates and deployment conditions\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Release dashboards showing deployment process status across environments\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Integration with Azure resources and third-party services\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Artifact management and versioning built in\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"list-item\",\"text\":\"Deployment groups for targeting specific servers or environments\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Best for: Development teams already using Azure infrastructure or other Microsoft tools who want an all-in-one platform, or organizations that prefer vendor consolidation over best-of-breed solutions.\",\"spans\":[{\"start\":0,\"end\":9,\"type\":\"strong\"}],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"wysiwyg$9ca88295-2d42-4c52-9449-7809b9f2c405\",\"slice_type\":\"wysiwyg\",\"slice_label\":null},{\"primary\":{\"toc_title\":[{\"type\":\"paragraph\",\"text\":\"Ship Safely with LaunchDarkly\",\"spans\":[],\"direction\":\"ltr\"}],\"wysiwyg\":[{\"type\":\"heading2\",\"text\":\"Ship Safely with LaunchDarkly\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Release management tools can reduce risk and speed up software delivery, but the right software depends on your architecture, team size, and release patterns. Teams shipping frequently or managing distributed systems need tools that provide fast rollbacks and progressive delivery (not just deployment automation).\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"LaunchDarkly separates code deployment from feature releases. Deploy to production environments with confidence, then control who sees what through feature flags. If something breaks, disable it instantly without redeploying code. Progressive rollouts let you test environments with 1% of end users before going wider, and built-in experimentation shows you which features actually drive results.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Thousands of engineering teams use LaunchDarkly to ship faster without sacrificing stability. Start with a free trial or request a demo to see how feature management fits into your release workflow.\",\"spans\":[{\"start\":94,\"end\":117,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://app.launchdarkly.com/signup?_gl=1*z9r4og*_gcl_au*MjQyNTY4ODE1LjE3NTY0NzkzMjc.\",\"target\":\"_blank\"}},{\"start\":121,\"end\":135,\"type\":\"hyperlink\",\"data\":{\"link_type\":\"Web\",\"url\":\"https://launchdarkly.com/request-a-demo/\",\"target\":\"_blank\"}}],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"wysiwyg$fa0f2e5c-5f47-4b37-9d35-a1b31bacf33b\",\"slice_type\":\"wysiwyg\",\"slice_label\":null},{\"primary\":{\"toc_title\":[{\"type\":\"paragraph\",\"text\":\"Frequently Asked Questions\",\"spans\":[],\"direction\":\"ltr\"}],\"wysiwyg\":[{\"type\":\"heading2\",\"text\":\"Frequently Asked Questions\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Q. What's the difference between release management and deployment?\",\"spans\":[{\"start\":0,\"end\":67,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Deployment is the technical act of moving code to servers. Release management is the broader process of controlling when and how users see that code. With feature flags, you can deploy code to production without releasing it to users, giving you more control and faster rollbacks.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Q. Do I need a release management tool if I already have CI/CD?\",\"spans\":[{\"start\":0,\"end\":63,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"CI/CD builds and tests code automatically, but it doesn't control who sees features or provide instant rollbacks. Release management tools extend your pipeline by adding progressive rollouts, feature-level control, and faster recovery mechanisms. They work together, not as replacements.\",\"spans\":[{\"start\":66,\"end\":69,\"type\":\"em\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Q. How do feature flags help with release management?\",\"spans\":[{\"start\":0,\"end\":53,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Feature flags wrap new code, allowing you to deploy it to production in an off state. You control when to turn features on, who sees them, and can disable them instantly if issues arise. This separates deployment risk from release risk—code can be in production and tested before users see it.\",\"spans\":[{\"start\":75,\"end\":78,\"type\":\"em\"},{\"start\":273,\"end\":279,\"type\":\"em\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Q. What's a progressive rollout?\",\"spans\":[{\"start\":0,\"end\":32,\"type\":\"strong\"}],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"A progressive rollout gradually increases feature exposure for your software release. It starts at 1% of users, then 5%, 10%, and so on. This limits blast radius. If something breaks at 5%, you've only affected a small group instead of your entire user base.\",\"spans\":[],\"direction\":\"ltr\"}]},\"items\":[],\"id\":\"wysiwyg$70d0ac7b-d191-414d-960d-cad7caf7b497\",\"slice_type\":\"wysiwyg\",\"slice_label\":null}],\"meta_title\":[{\"type\":\"heading1\",\"text\":\"Release Management Tools: What They Are \u0026 How They Work\",\"spans\":[],\"direction\":\"ltr\"}],\"meta_description\":[{\"type\":\"paragraph\",\"text\":\"A developer's guide to release management tools: what they do, why you need them, features to look for, and how to choose the right ones for your team.\",\"spans\":[],\"direction\":\"ltr\"}],\"schema\":[],\"open_graph_image\":{\"dimensions\":{\"width\":2151,\"height\":1200},\"alt\":\"An illustration demonstrating feature management.\",\"copyright\":null,\"url\":\"https://images.prismic.io/launchdarkly/Z1JIWpbqstJ98GFS_Evergeen-featuremanagement.png?auto=format,compress\",\"id\":\"Z1JIWpbqstJ98GFS\",\"edit\":{\"x\":0,\"y\":0,\"zoom\":1,\"background\":\"transparent\"}}}},{\"id\":\"aa7jLRAAACAABETy\",\"uid\":\"where-homegrown-systems-break\",\"url\":\"/blog/where-homegrown-systems-break/\",\"type\":\"blog_post\",\"href\":\"https://launchdarkly.cdn.prismic.io/api/v2/documents/search?ref=aqRDsxYAADAAP-_K\u0026q=%5B%5B%3Ad+%3D+at%28document.id%2C+%22aa7jLRAAACAABETy%22%29+%5D%5D\",\"tags\":[],\"first_publication_date\":\"2026-03-09T15:28:51+0000\",\"last_publication_date\":\"2026-03-09T15:58:57+0000\",\"slugs\":[\"where-homegrown-feature-flag-systems-break\"],\"linked_documents\":[],\"lang\":\"en-us\",\"alternate_languages\":[],\"data\":{\"is_preview_post\":false,\"title\":[{\"type\":\"heading1\",\"text\":\"Where homegrown feature flag systems break\",\"spans\":[],\"direction\":\"ltr\"}],\"author\":{\"id\":\"YCr_NxIAACIAZP1e\",\"type\":\"author\",\"tags\":[],\"lang\":\"en-us\",\"slug\":\"launchdarkly\",\"first_publication_date\":\"2021-02-15T23:11:13+0000\",\"last_publication_date\":\"2025-08-14T18:56:59+0000\",\"uid\":\"launchdarkly\",\"url\":\"/blog/author/launchdarkly/\",\"link_type\":\"Document\",\"key\":\"a6e4b5d0-6b96-4f3d-9eb0-6e69448af976\",\"isBroken\":false},\"timestamp\":null,\"additional_authors\":[{\"additional_author\":{\"link_type\":\"Document\"}}],\"categories\":[{\"category\":{\"id\":\"X2u4ahEAACIArttd\",\"type\":\"category\",\"tags\":[],\"lang\":\"en-us\",\"slug\":\"feature-flags\",\"first_publication_date\":\"2020-09-23T21:04:45+0000\",\"last_publication_date\":\"2024-07-02T17:48:39+0000\",\"uid\":\"feature-flags\",\"url\":\"/blog/category/feature-flags/\",\"data\":{\"category_name\":[{\"type\":\"heading1\",\"text\":\"Feature Flags\",\"spans\":[]}]},\"link_type\":\"Document\",\"key\":\"752c5665-6a80-4327-a14f-7b28dcf3dfad\",\"isBroken\":false}}],\"excerpt\":[{\"type\":\"paragraph\",\"text\":\"Homegrown feature flag systems work at the start, but runtime demands expose hidden risks.\",\"spans\":[],\"direction\":\"ltr\"}],\"exclude_recent\":false,\"hide_date\":false,\"enable_table_of_content\":false,\"disable_related_content\":false,\"featured_image\":{\"dimensions\":{\"width\":3000,\"height\":1689},\"alt\":null,\"copyright\":null,\"url\":\"https://images.prismic.io/launchdarkly/aa7mZ1xvIZEnje9L_Blog_03-26_Wherehomegrownfeatureflagsystemsbreak.png?auto=format,compress\u0026rect=0,0,4000,2252\u0026w=3000\u0026h=1689\",\"id\":\"aa7mZ1xvIZEnje9L\",\"edit\":{\"x\":0,\"y\":0,\"zoom\":1,\"background\":\"transparent\"}},\"related_posts\":[{\"post\":{\"link_type\":\"Document\"}}],\"video_id\":[],\"video_type\":null,\"body\":[{\"primary\":{\"toc_title\":[],\"wysiwyg\":[{\"type\":\"paragraph\",\"text\":\"Most engineering teams start feature flagging the same way: by adding a few toggles to speed up releases. A JSON file in Git and some conditionals in code are enough to get started, and that works for a while.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"As the system grows, the flags move into a database. Teams add APIs, schema migrations, typed clients, and internal dashboards. What began as a simple control mechanism becomes part of your production infrastructure.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"At that point, feature flags aren’t just helpers. They control who sees what and when behavior changes in production. But polling intervals introduce delay, and rollbacks depend on update cycles. Observability and governance vary by team. The system still functions, but it now carries operational risk: stale configurations, slow mitigations, and inconsistent targeting across services.\",\"spans\":[],\"direction\":\"ltr\"},{\"type\":\"paragraph\",\"text\":\"Maintaining control after deployment becomes the real challenge. 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