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.