launch-debrieflisted
Install: claude install-skill varunk130/ai-gtm-skill-library
# Launch Debrief (MIRROR Protocol)
A structured post-launch retrospective engine that transforms raw launch data into quantified learnings, root-cause analyses, and improvement playbooks. MIRROR ensures every launch makes future launches better by extracting actionable insights from both successes and failures through systematic analysis rather than anecdotal recall.
## When to Use
- Conducting a post-launch retrospective (ideally at T+30 and T+90)
- Analyzing why a launch over- or underperformed expectations
- Building an institutional knowledge base of launch learnings
- Creating improvement playbooks for the next launch cycle
- Presenting launch results to leadership with root-cause analysis
- Comparing actual results against pre-launch projections
- Identifying systemic issues across multiple launches
## What You'll Need
**Critical inputs (ask if not provided):**
- Launch name, date, and type (GA, beta, feature, expansion)
- Pre-launch targets for all VITAL metrics (from launch-pulse)
- Actual performance data for all tracked metrics
- Launch readiness scores from gate reviews (from launch-command)
- Budget allocation and actual spend (from budget-allocator)
- Channel performance data by channel (from demand-engine)
**Nice-to-have:**
- Customer feedback (NPS, surveys, support tickets, social mentions)
- Internal team feedback (retro notes, Slack threads, post-mortems)
- Competitive activity during launch window (from battle-scanner)
- Sales feedback on messaging and