← ClaudeAtlas

post-launch-learning-looplisted

Use when the user wants post-launch analysis, impact analysis, feedback synthesis, product adoption review, launch retrospective, iteration planning, experiment readout, activation review, retention review, or to decide what to do after launch. Connects metrics, feedback, PMM coaching, and next iteration planning.
buildingwithai/pmm-os · ★ 0 · Code & Development · score 68
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 |