optimizationmetric-review
Conduct a metric review that contextualizes performance trends, flags anomalies, and recommends actions.
When & Why to Use This Skill
This Claude skill automates the metric review process by contextualizing performance trends, identifying data anomalies, and providing actionable recommendations. It empowers Product Managers and Analytics Leads to transform raw performance data into strategic insights, facilitating data-driven decision-making and continuous business optimization through structured trend analysis and hypothesis generation.
Use Cases
- Weekly Business Reviews (WBR): Streamline the analysis of weekly KPIs by comparing current performance against historical baselines to identify key growth drivers and performance laggards.
- Product Launch Monitoring: Evaluate the success of new features by analyzing goal metrics across different user segments and identifying unexpected performance patterns or technical regressions.
- Anomaly Detection & Root Cause Analysis: Rapidly investigate sudden fluctuations in business metrics and generate evidence-based hypotheses to explain performance shifts and inform immediate corrective actions.
- Strategic Planning & Audits: Conduct comprehensive performance audits to summarize long-term trends and develop data-backed action plans and ownership for future development cycles.
| name | optimization.metric_review |
|---|---|
| phase | optimization |
| description | Segments to slice the metric by. |
| - name | segments |
Purpose
Support continuous optimization by providing a structured prompt for reviewing performance data and identifying next steps.
Pre-run Checklist
- ✅ Export relevant metric data (CSV or dashboard snapshots).
- ✅ Align on segments and filters to analyze.
- ✅ Confirm data freshness and quality.
Invocation Guidance
codex run --skill optimization.metric_review \
--input data/{{goal_metric}}-{{period}}.csv \
--vars "goal_metric={{goal_metric}}" \
"period={{period}}" \
"comparison_period={{comparison_period}}" \
"segments={{segments}}"
Recommended Input Attachments
- CSV exports or BI dashboard screenshots.
- Notes from recent experiments or launches impacting the metric.
Claude Workflow Outline
- Summarize the goal metric, period, and comparison baseline.
- Provide visual or tabular trend analysis highlighting significant movements.
- Identify anomalies or inflections, offering hypotheses tied to events or segments.
- Recommend actions, owners, and expected impact.
- List questions or data gaps to investigate further.
Output Template
## Metric Review — {{goal_metric}} ({{period}})
### Performance Summary
- Trend Overview:
- % Change vs {{comparison_period}}:
### Segment Analysis
| Segment | Current Value | Δ vs Baseline | Notable Insight |
| --- | --- | --- | --- |
### Anomalies & Hypotheses
1. Observation — Hypothesis — Supporting Evidence
### Recommended Actions
| Action | Owner | Timeline | Expected Impact |
| --- | --- | --- | --- |
### Follow-up Questions
- ...
Follow-up Actions
- Align on prioritized actions during weekly business reviews.
- File tickets or tasks for high-impact recommendations.
- Schedule the next review cadence.