feature-results

Document post-launch feature results by inputting the feature name, ship date, original goals, and actual metrics to generate a structured markdown report. This output includes an executive summary, results versus targets, guardrail checks, and root cause analysis.

The best way to structure a product feature post-mortem is to use a standardized format capturing executive summaries, segment breakdowns, calibration, and next steps. This ensures teams quickly turn analytics data into concrete recommendations and prioritized experiment roadmaps.

Analyzing feature performance without the original PRD or hypothesis is possible but not optimal. The Skill verifies whether a feature has shipped and pulls the original PRD when available to accurately calibrate actual metrics against predefined targets and route outcomes to stakeholders.

Generate an executive summary from feature metrics by running the analysis with your actual analytics data and original goals. The process synthesizes performance outcomes, guardrail checks, and root cause analysis into a single shareable markdown document for stakeholders.

To create a root cause analysis for a shipped product feature you need the feature name, ship date, original goals, and actual results from analytics. The Skill uses these inputs to produce structured markdown detailing performance gaps and actionable next steps.