metrics-review

Analyze product metrics and generate structured reviews with trend analysis and recommendations.

46|11|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/clawpod-app/awesome-openclaw-agent-packs --skill metrics-review-clawpod-app
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metrics-review
Source: https://github.com/clawpod-app/awesome-openclaw-agent-packs/tree/main/packs/product-management/skills/metrics-review
Command: npx skills add https://github.com/clawpod-app/awesome-openclaw-agent-packs --skill metrics-review-clawpod-app

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Product teams often struggle to turn raw metrics into actionable insights. This Skill automates analysis, synthesis, and reporting to save time and inform decisions.

Core Features & Use Cases

  • Trend analysis across time periods (weekly, monthly, quarterly) to identify performance shifts.
  • Structured metric scorecard with current, previous, targets, and status indicators.
  • Actionable recommendations and follow-up tasks, plus support for segment and cohort analysis.

Quick Start

Provide a concise weekly metrics review for the North Star metric and key health indicators to guide decisions.

Frequently Asked Questions about metrics-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn raw product metrics into actionable insights for a weekly review?

Analyzing product metrics generates structured reviews with trend analysis by comparing current data against previous periods. The process requires current and previous period inputs to produce a scorecard with actionable recommendations and follow-up tasks for weekly, monthly, or quarterly cycles.

Can I use cohort analysis and segmentation when reviewing product trends?

Segment and cohort analysis are supported during product metrics review to break down trend data. Providing segment parameters allows the review to isolate specific user groups, revealing targeted performance shifts within the broader dashboard-ready output.

What's the best way to investigate sudden spikes or drops in product metrics?

Investigating metric spikes or drops requires comparing current data against previous periods and optional targets. A structured product metrics review isolates the anomaly, provides trend analysis context, and outputs actionable recommendations to address the performance shift.

Do I need to provide target values to generate a metrics scorecard?

Target values are optional inputs for generating a metrics scorecard. While current and previous period data are required for trend analysis, adding targets enables the review to compare actual performance against goals and include status indicators in the output.

How does a product metrics review handle comparisons against targets?

A product metrics review handles target comparisons by evaluating current period data against optional target inputs. This generates a structured scorecard displaying current, previous, and target values alongside status indicators to show whether goals are met.