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metrics-review

Analyze product metrics to surface trends, anomalies, and prioritized recommendations.

Updated Apr 12, 2026
Search Tags:#metrics#dashboard#analyze#scorecard#trend-analysis#okrs#product-metrics
One-click install
npx skills add https://github.com/FoundationForge/cowork-plugins --skill metrics-review-foundationforge
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: metrics-review
Source: https://github.com/FoundationForge/cowork-plugins/tree/main/plugins/product-management/skills/metrics-review
Command: npx skills add https://github.com/FoundationForge/cowork-plugins --skill metrics-review-foundationforge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Product teams struggle to turn raw metrics into a concise, decision-ready picture of product health; this Skill reduces noise, identifies meaningful trends and anomalies, and recommends prioritized actions so teams can act quickly and confidently.

Core Features & Use Cases

  • Automated data gathering: Pulls metrics from connected analytics tools when available or guides the user to provide metric tables and context.
  • Structured analysis: Organizes metrics into a North Star, L1 health indicators, and L2 diagnostics for focused investigation.
  • Trend and anomaly detection: Compares current values to previous periods and targets, highlights significant changes, and surfaces correlated signals across segments.
  • Deliverables: Produces a short summary, a metric scorecard table, trend analysis, bright spots, areas of concern, and concrete recommended next steps.
  • Use Case: Run during weekly, monthly, or quarterly reviews to monitor product health, investigate sudden spikes or drops, and create an action list for experiments or fixes.

Quick Start

Ask for a metrics review for the last month focusing on North Star, DAU/MAU, retention, and conversion versus targets.

Frequently Asked Questions about metrics-review

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

FAQPage Schema
How do I analyze product metrics and identify trends for a weekly review?▼

To analyze product metrics, you provide a time period and metric inputs like DAU, retention, or conversion. The Skill compares current values to previous periods and targets to surface trends and anomalies.

What is the best way to investigate sudden spikes or drops in product metrics?▼

Investigating metric spikes involves comparing current values against previous periods and targets to highlight significant changes. The analysis surfaces correlated signals across segments to pinpoint the anomaly's root cause.

How do I generate a metrics scorecard with actionable recommendations?▼

Generating a metrics scorecard requires specifying your time period and target metrics. The output includes a summary, a scorecard table, trend analysis, and prioritized recommended actions for quick team execution.

Can I automatically pull product metrics from my analytics connector for trend analysis?▼

Yes, automated data gathering pulls metrics from connected analytics tools when access is available. If no connector is configured, you can manually provide metric tables and context for the review.

How does structured metric analysis work for monitoring product health?▼

Structured metric analysis organizes inputs into a North Star, L1 health indicators, and L2 diagnostics. This focused investigation reduces noise and identifies meaningful trends for decision-ready product health monitoring.

When should I not use automated metric analysis for my product review?▼

Automated metric analysis is less suitable if you cannot provide required time period and metric inputs or lack access to analytics connectors. Without baseline data or targets, the trend comparison and scorecard outputs will be limited.

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