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GeneralJerel
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analyze-metrics

Analyze product metrics to reveal trends, gaps, and actionable insights.

6|Updated Feb 19, 2026
Search Tags:#metrics#trends#product#analyze#kpis#cohorts#hypotheses
One-click install
npx skills add https://github.com/GeneralJerel/chalk-skills --skill analyze-metrics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyze-metrics
Source: https://github.com/GeneralJerel/chalk-skills/tree/main/skills/analyze-metrics
Command: npx skills add https://github.com/GeneralJerel/chalk-skills --skill analyze-metrics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamline product decisions by turning raw metrics into clear, actionable insights and exposing gaps in health signals.

Core Features & Use Cases

  • Metric classification: label metrics as leading vs lagging and map to acquisition, activation, engagement, retention, revenue, or referrals.
  • Target comparison & tracking: compare current values to targets or prior periods and flag on-track, at-risk, or off-track indicators.
  • Cohort & trend analysis: analyze cohorts across time ranges to identify trends, outliers, and inflection points.
  • Hypothesis generation: propose testable explanations for unexpected changes and suggest experiments.

Quick Start

Provide the metrics data for the period you want analyzed and request a metrics review.

Frequently Asked Questions about analyze-metrics

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

FAQPage Schema
How do I analyze product metrics to identify trends and gaps in performance?▼

To analyze product metrics, compare current performance across cohorts, targets, and time periods to classify leading or lagging indicators, revealing trends, gaps, and actionable insights from your historical data.

What is the best way to compare current metric values against targets and prior periods?▼

Comparing current metric values against targets involves tracking performance over time and flagging indicators as on-track, at-risk, or off-track based on historical data from dashboards or logs.

How do I generate hypotheses for unexpected changes in product KPIs?▼

Generating hypotheses for product KPI changes involves analyzing cohort trends and inflection points to propose testable explanations for unexpected data shifts, outputting structured insights for experiments.

Can I use dashboard exports and log files to classify leading vs lagging indicators?▼

Yes, you can use dashboard exports and log files to classify leading vs lagging indicators, mapping metrics to acquisition, activation, engagement, retention, revenue, or referrals categories.

How do I start a cohort trend analysis for a specific time period?▼

Start a cohort trend analysis by providing historical metrics data for the target period, allowing the system to identify outliers, trends, and inflection points across the specified time ranges.

What format does the metrics review output use?▼

The metrics review output uses a markdown file format saved at .chalk/docs/product/metrics_review_<period>.md, containing structured actionable insights, target comparisons, and generated hypotheses.

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