Cross-Pollination Engine
The Core Insight
Most "innovation" is applying proven solutions from one domain to another.
- - Resistance wheels → Rollerblades
- Gaming XP systems → Duolingo
- Hotel concierge → Software onboarding
The Process
- 1. Define the core job (strip away industry context)
- Find who else solves it (often surprising industries)
- Extract principles (not surface features)
- Translate to your context (adapt, don't copy)
Industry Inspiration Library
| Need | Look At | Why |
|---|
| Trust | Banking, Healthcare, Aviation | Verification, credentials, checklists |
| Engagement |
Gaming, Fitness apps, Streaming | XP, streaks, personalization, progress |
|
Onboarding | Hotels, Theme parks, Luxury retail | Concierge, anticipation, personal touch |
|
Simplicity | Apple, IKEA, Google | Feature cutting, hidden complexity |
|
Urgency | E-commerce, Airlines, Fast food | Scarcity, anchoring, speed promises |
|
Community | CrossFit, Harley-Davidson, Peloton | Tribal identity, shared experience |
Output Format
CODEBLOCK0
Prompt Starters
- - "How would Disney solve our onboarding?"
- "What would Amazon do with our data?"
- "If this were a game, how would it work?"
- "How do luxury hotels make people feel special?"
Integration
Compounds with:
- - jtbd-analyzer → Understand job first, then find who else solves it
- first-principles-decomposer → Strip context to find fundamental need
- six-thinking-hats → Green Hat pairs naturally with cross-pollination
- app-planning-skill → Apply borrowed patterns to new apps
See references/examples.md for Artem-specific cross-pollinations
交叉授粉引擎
核心洞察
大多数创新是将一个领域已被验证的解决方案应用到另一个领域。
- - 阻力轮 → 轮滑鞋
- 游戏经验值系统 → 多邻国
- 酒店礼宾服务 → 软件用户引导
流程
- 1. 定义核心任务（剥离行业背景）
- 寻找其他解决者（往往是意想不到的行业）
- 提炼原则（而非表面特征）
- 转化到自身场景（适配而非照搬）
行业灵感库
| 需求 | 参考对象 | 原因 |
|---|
| 信任 | 银行业、医疗业、航空业 | 验证、资质认证、检查清单 |
| 参与度 |
游戏业、健身应用、流媒体 | 经验值、连续打卡、个性化、进度 |
|
用户引导 | 酒店业、主题公园、奢侈品零售 | 礼宾服务、预期管理、个性化触达 |
|
简洁性 | 苹果、宜家、谷歌 | 功能精简、隐藏复杂性 |
|
紧迫感 | 电商、航空业、快餐业 | 稀缺性、锚定效应、速度承诺 |
|
社区 | CrossFit、哈雷戴维森、Peloton | 部落认同、共享体验 |
输出格式
问题：[你正在解决的问题]
核心任务：[剥离到本质]
来自 [行业1]：
解决方式：[x]
关键原则：[y]
应用到我们：[z]
来自 [行业2]：
解决方式：[x]
关键原则：[y]
应用到我们：[z]
综合：[结合方案]
下一步：[具体行动]
提示启动器
- - 迪士尼会如何解决我们的用户引导问题？
- 亚马逊会如何处理我们的数据？
- 如果这是个游戏，它会如何运作？
- 豪华酒店如何让人感到与众不同？
集成
与以下技能协同：
- - jtbd-analyzer → 先理解任务，再寻找其他解决者
- first-principles-decomposer → 剥离背景以发现根本需求
- six-thinking-hats → 绿帽思维与交叉授粉天然契合
- app-planning-skill → 将借鉴的模式应用于新应用
参见 references/examples.md 了解 Artem 专属的交叉授粉案例
