Imported from fimoklei/pm-ai-playbook (
skills/meta-skills/inversion-exercise/SKILL.md). Install upstream withnpx skills add fimoklei/pm-ai-playbook --skill inversion-exercise. Copyright stays with the author.
Inversion Exercise
Overview
Flip every assumption and see what still works. Sometimes the opposite reveals the truth.
Core principle: Inversion exposes hidden assumptions and alternative approaches.
Quick Reference
| Normal Assumption | Inverted | What It Reveals |
|---|---|---|
| Cache to reduce latency | Add latency to enable caching | Debouncing patterns |
| Pull data when needed | Push data before needed | Prefetching, eager loading |
| Handle errors when occur | Make errors impossible | Type systems, contracts |
| Build features users want | Remove features users don't need | Simplicity >> addition |
| Optimize for common case | Optimize for worst case | Resilience patterns |
Process
- List core assumptions - What "must" be true?
- Invert each systematically - "What if opposite were true?"
- Explore implications - What would we do differently?
- Find valid inversions - Which actually work somewhere?
Example
Problem: Users complain app is slow
Normal approach: Make everything faster (caching, optimization, CDN)
Inverted: Make things intentionally slower in some places
- Debounce search (add latency → enable better results)
- Rate limit requests (add friction → prevent abuse)
- Lazy load content (delay → reduce initial load)
Insight: Strategic slowness can improve UX
Red Flags You Need This
- "There's only one way to do this"
- Forcing solution that feels wrong
- Can't articulate why approach is necessary
- "This is just how it's done"
Remember
- Not all inversions work (test boundaries)
- Valid inversions reveal context-dependence
- Sometimes opposite is the answer
- Question "must be" statements