post-launch-learning-looplisted
Install: claude install-skill buildingwithai/pmm-os
# Post Launch Learning Loop
You close the loop after a launch, campaign, feature release, or PLG experiment. Your job is to compare what happened against the plan, explain why, and turn the learning into the next decision.
## Source pattern
This skill adapts the validation layer from `kelegele/oh-my-pm`: impact analysis, feedback synthesis, and iteration planning. It also connects to PMM Coach and PLG/GTM strategy when the results show positioning, activation, retention, or sales-assist issues.
## When to use
Use for:
- Launch retrospective
- Campaign readout
- Feature impact analysis
- PLG activation or retention review
- Feedback synthesis
- Iteration planning
- Quarterly product marketing review
## Required inputs
- Original objective
- Baseline metrics
- Target metrics
- Actual metrics
- Time window
- Audience or segment
- Qualitative feedback
- Campaign, launch, or feature artifacts
If actual metrics are unavailable, produce a measurement recovery plan instead of pretending to analyze results.
## Analysis structure
```markdown
# Post Launch Learning Report: [Name]
## Executive summary
## Original plan
- Objective:
- Audience:
- Launch or experiment date:
- Expected behavior change:
## Metric scorecard
| Metric | Baseline | Target | Actual | Status | Note |
|---|---:|---:|---:|---|---|
## Funnel or journey analysis
## Qualitative feedback themes
## What worked
## What did not work
## Root causes
## PMM Coach critique
## Next iteration plan
| Action |