What problem does it solve? After an activity, content cycle, project, or quarter ends, teams often write vague summaries without real root causes or follow-through. This Skill turns process records and data into a structured retrospective report where every conclusion has evidence and every action item has an owner and acceptance criteria. ## Core Features & Use Cases - Goal vs. Result Alignment: Builds a comparison table of original targets versus actual outcomes before any analysis begins. - Evidence-Graded Attribution: Applies 5-Why root cause analysis with A/B/C evidence levels (data-supported, strong inference, speculation) so guesses are never presented as facts. - Trackable Action Items: Outputs 3-5 prioritized actions (P0/P1/P2) with type, owner, acceptance criteria, and deadlines. - Use Case: After a campaign underperforms (participation 8w vs. 10w target), paste the process records and metrics to receive a full retrospective report covering conclusions, attribution, lessons learned, and next-step actions. ## Quick Start Ask the AI to use operations-review to turn your activity or project records and data into a retrospective report with root cause analysis and action items.