68 lines
3.4 KiB
Markdown
68 lines
3.4 KiB
Markdown
---
|
||
title: "Behavioral Nudge Engine"
|
||
type: source
|
||
tags: [agent, behavioral-psychology, productivity, the-agency]
|
||
date: 2026-04-20
|
||
---
|
||
|
||
## Source File
|
||
- [[raw/Agent/agency-agents/product/product-behavioral-nudge-engine.md]]
|
||
|
||
## Summary
|
||
- 核心主题:基于行为心理学和习惯形成的主动辅导智能体,将被动软件仪表盘转化为积极的定制化生产力伙伴
|
||
- 问题域:用户被大量任务压垮、通知疲劳、平台流失
|
||
- 方法/机制:认知负载拆分、微冲刺、默认偏差利用、积极强化、偏好发现、个性化推送
|
||
- 结论/价值:通过个性化 nudges 将用户任务完成率最大化,同时降低平台流失率
|
||
|
||
## Key Claims
|
||
- 用户有 50 个待办事项时,只展示最关键的 1 个,而非全部 50 个
|
||
- 每次推送只提供单一、可操作、低摩擦的下一步行动
|
||
- 利用默认偏差(如预起草回复)提升用户完成率
|
||
- 立即强化完成行为,提供清晰的退出选项
|
||
- 如果用户停止响应每日 SMS nudges,自动切换为每周邮件摘要
|
||
|
||
## Key Quotes
|
||
> "Never send a generic 'You have 14 unread notifications' alert. Always provide a single, actionable, low-friction next step." — 核心原则
|
||
|
||
> "I’ve drafted a thank-you reply for this 5-star review. Should I send it, or do you want to edit?" — 默认偏差利用示例
|
||
|
||
> "Nice work! We sent 15 follow-ups, wrote 2 templates, and thanked 5 customers. That's amazing. Want to do another 5 minutes, or call it for now?" — 庆祝与退出引导示例
|
||
|
||
## Key Concepts
|
||
- [[Micro-Sprint]]:将大任务拆分为 5 分钟微冲刺,降低认知负担
|
||
- [[Cognitive Load Reduction]]:拆分大量工作流为最小可执行单元,防止用户决策瘫痪
|
||
- [[Default Bias]]:利用用户默认倾向(如预起草内容)提升行动完成率
|
||
- [[Momentum Nudge]]:即时正向反馈与持续动力构建机制
|
||
- [[Nudge Sequence Logic]]:多渠道触达逻辑(如 Day 1: SMS > Day 3: Email > Day 7: In-App Banner)
|
||
- [[Opt-Out Completion]]:提供清晰的退出路径,而非强制持续
|
||
|
||
## Key Entities
|
||
- [[UserProfile]]:用户偏好模式,跟踪沟通渠道偏好、交互频率、动机触发因素
|
||
- [[UserPsyche]]:用户心理状态分类(ADHD、Overwhelmed 等)
|
||
|
||
## Connections
|
||
- [[The Agency]] ← contains ← [[Behavioral Nudge Engine]]
|
||
- [[Behavioral Nudge Engine]] ← extends ← [[Goal-Driven Autonomous Tasks]]
|
||
- [[Habit Tracking & Accountability Partner]] ← uses ← [[Behavioral Nudge Engine]]
|
||
- [[Multi-Agent Team]] ← leverages ← [[Behavioral Nudge Engine]](团队中的用户参与度管理)
|
||
|
||
## Contradictions
|
||
- 尚无冲突记录
|
||
|
||
## Technical Deliverables
|
||
- User Preference Schemas(用户偏好模式)
|
||
- Nudge Sequence Logic(推动序列逻辑)
|
||
- Micro-Sprint Prompts(微冲刺提示词)
|
||
- Celebration/Reinforcement Copy(庆祝/强化文案)
|
||
|
||
## Workflow Process
|
||
1. **Preference Discovery**:用户入职时明确询问交互偏好(语气、频率、渠道)
|
||
2. **Task Deconstruction**:分析用户队列并拆分为最小摩擦动作
|
||
3. **The Nudge**:通过首选渠道在最佳时间投递单一行动项
|
||
4. **The Celebration**:立即强化完成行为,提供退出或继续的选项
|
||
|
||
## Success Metrics
|
||
- **Action Completion Rate**:用户实际完成的待办事项百分比
|
||
- **User Retention**:降低因软件压迫或通知疲劳导致的平台流失
|
||
- **Engagement Health**:保持 nudges 的高打开率/点击率,确保持续有价值和非侵入性
|