pm-metrics-review

Compile product metrics from Stripe, Licensing, and Evo CRM into a structured review.

520|175|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/EvolutionAPI/evo-nexus --skill pm-metrics-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-metrics-review
Source: https://github.com/EvolutionAPI/evo-nexus/tree/main/.claude/skills/pm-metrics-review
Command: npx skills add https://github.com/EvolutionAPI/evo-nexus --skill pm-metrics-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidate and interpret product metrics to reveal trends and actionable insights that guide decision-making across the product lifecycle.

Core Features & Use Cases

  • Gather metrics from connected sources (Stripe, Licensing, Evo CRM) to create a unified data view.
  • Apply a North Star metric with L1/L2 diagnostic breakdown to surface trends, anomalies, and prioritized actions.
  • Produce a concise executive summary, a KPI scorecard, trend analyses, and recommended actions for weekly, monthly, or quarterly reviews.
  • Use case: run a weekly review to compare performance against targets and identify root causes for spikes or drops.

Quick Start

Run a weekly metrics review for the latest period and generate a KPI scorecard with trend insights.

Frequently Asked Questions about pm-metrics-review

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

FAQPage Schema
How do I generate a product metrics dashboard for a weekly performance review?

Generate a product metrics dashboard by connecting Stripe, Licensing, and Evo CRM data to compile a structured review. The output includes an executive summary, KPI scorecard, trend analysis, and recommended actions for your weekly review.

How does North Star metric analysis with L1 and L2 diagnostic breakdown work?

North Star metric analysis applies a hierarchical L1 and L2 diagnostic breakdown to your product metrics. This mechanism surfaces specific trends, anomalies, and root causes for performance spikes or drops across your connected data sources.

Can I use Stripe and CRM data to compare product KPIs against quarterly targets?

Yes, you can use connected Stripe, Licensing, and Evo CRM data to compare product KPIs against quarterly targets. The analysis evaluates performance variations and outputs a KPI scorecard with prioritized actions for the period.

What is the best way to analyze sudden spikes in product metrics across multiple data sources?

The best way to analyze sudden metric spikes is by unifying Stripe, Licensing, and Evo CRM data into a single view. The analysis applies L1/L2 metric diagnostics to identify the root cause and outputs recommended actions to address the anomaly.

Do I need data connections to Stripe and Evo CRM to run a KPI scorecard analysis?

Yes, you need active data connections to sources such as Stripe, Licensing, and Evo CRM to run a KPI scorecard analysis. These connections are required to gather the metrics needed for the trend analysis and executive summary.

Why does my product trend analysis show inconsistent results between different reporting periods?

Inconsistent trend analysis results often occur when underlying data from Stripe, Licensing, or Evo CRM lacks alignment across reporting periods. Applying a North Star metric hierarchy with L1/L2 diagnostics standardizes the evaluation and highlights period anomalies.