metrics-review

Analyze product metrics to identify trends and generate prioritized action plans.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/Srujan0798/NRG --skill metrics-review-srujan0798
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: metrics-review
Source: https://github.com/Srujan0798/NRG/tree/main/.claude/skills/metrics-review
Command: npx skills add https://github.com/Srujan0798/NRG --skill metrics-review-srujan0798

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzing product metrics to identify trends and surface actionable insights for decision-makers and teams.

Core Features & Use Cases

  • Gather metrics data from connected analytics tools for specified time periods (weekly, monthly, quarterly).
  • Organize metrics into a clear hierarchy (North Star, L1 health indicators, L2 diagnostics) and generate a concise scorecard.
  • Produce an actionable recommendations section with next steps, experiments, and ownership clarifications.
  • Use case: When preparing a quarterly business review, summarize performance, highlight anomalies, and propose focused actions.

Quick Start

Provide the time period and metrics you want reviewed, and I will generate a concise metrics review with trend analysis.

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 to identify trends and surface actionable insights?

Analyzing product metrics to identify trends involves gathering data from connected analytics tools and organizing it into a North Star, L1, and L2 hierarchy to produce a concise scorecard with a prioritized action plan.

What is the best way to prepare a quarterly business review with metric scorecards and anomaly detection?

Preparing a quarterly business review requires summarizing performance over a specified time period, highlighting metric anomalies, and proposing focused actions with clear ownership to guide team decisions.

Can I use this metrics review for OKR tracking and weekly spike investigations?

Yes, metrics review supports OKR tracking, weekly performance checks, and spike investigations across product, marketing, and usage analytics by generating structured reviews with trend analysis.

How do I structure analytics data into a North Star and L1/L2 hierarchy for dashboards?

Structuring analytics data into a North Star and L1/L2 hierarchy organizes health indicators and diagnostics into a concise scorecard, enabling clear trend identification and actionable recommendations.

Do I need connected analytics tools to generate an actionable recommendations report?

Yes, the skill gathers metrics data directly from connected analytics tools for the specified time period to output a structured review with next steps, experiments, and ownership clarifications.

Why does organizing metrics into a hierarchy help with trend analysis and decision-making?

Organizing metrics into a hierarchy helps with trend analysis by separating North Star metrics from L1 health indicators and L2 diagnostics, surfacing actionable insights for decision-makers.