# Post Launch Learning

> Turns launches into structured learning by comparing expected vs actual outcomes and extracting key learnings. Use after any product launch to capture what worked, what didn't, and inform future decisions.

- Skill: `pratikshadake/post-launch-learning` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add pratikshadake/post-launch-learning`
- Raw SKILL.md: https://api.skillmd.com/api/skills/pratikshadake/post-launch-learning/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: pratikshadake (https://skillmd.com/u/pratikshadake)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/pratikshadake/post-launch-learning

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# Post-Launch Learning Engine

## Purpose
Turn launches into structured learning for better future decisions.

## Steps
1. Compare expected vs actual outcomes.
2. Identify what worked.
3. Identify what failed.
4. Extract root causes.
5. Define next actions.

## Output

### Expected Outcome
### Actual Result
### What Worked
### What Didn't
### Key Learnings
### Next Actions

## References
See [worked example](references/example.md) for a complete scenario.