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
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
PROBLEM: [What you're solving]
CORE JOB: [Stripped to fundamentals]
FROM [Industry 1]:
How they solve it: [x]
Key principle: [y]
Applied to us: [z]
FROM [Industry 2]:
How they solve it: [x]
Key principle: [y]
Applied to us: [z]
SYNTHESIS: [Combined approach]
NEXT STEP: [Concrete action]
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