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metrics-review

Analyzes product metrics and generates scorecards with trend analysis and recommended actions.

Updated Sep 15, 2026
Search Tags:#north star metric#okr#retention#trend analysis#product analytics#metrics review#kpi scorecard
One-click install
npx skills add https://github.com/Nadav011/nadavai-claude --skill metrics-review-nadav011
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: metrics-review
Source: https://github.com/Nadav011/nadavai-claude/tree/main/plugins/nadavai/skills/metrics-review
Command: npx skills add https://github.com/Nadav011/nadavai-claude --skill metrics-review-nadav011

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Product teams often collect metrics but struggle to turn raw numbers into decisions. This Skill structures weekly, monthly, or quarterly metrics reviews by organizing data into a North Star and L1/L2 hierarchy, analyzing trends against targets, and producing a scorecard with concrete recommended actions. ## Core Features & Use Cases - Structured Metrics Review: Organizes metrics into a hierarchy (North Star, L1 health indicators across acquisition, activation, engagement, retention, monetization, satisfaction, and L2 diagnostics) and analyzes trends, targets, and anomalies. - Scorecard Generation: Produces a summary, metric scorecard table with status indicators, trend analysis, bright spots, areas of concern, and recommended actions. - Goal Setting Support: Includes OKR frameworks, metric target-setting guidance, review cadences (weekly, monthly, quarterly), and dashboard design principles. - Use Case: A product manager preparing a monthly business review pastes their key metrics and targets; the Skill identifies that activation dropped 8% while retention held flat, attributes the change to a recent onboarding redesign, and recommends a follow-up experiment. ## Quick Start Ask the assistant to run a metrics review for last month using your current DAU, retention, and conversion numbers compared against targets.

Frequently Asked Questions about metrics-review

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

FAQPage Schema
How do I run a product metrics review?▼

Provide your key metrics with current values, previous period values, and targets, plus context on recent launches or incidents. The Skill organizes them into a North Star and L1 hierarchy, analyzes trends, and outputs a scorecard with recommended actions.

What is a North Star metric and how do I choose one?▼

A North Star metric is the single measure that best captures the core value your product delivers to users. It should be value-aligned, leading, actionable, and understandable, such as weekly active teams for a collaboration tool or weekly transactions for a marketplace.

What metrics should a product health scorecard include?▼

Include 5-7 L1 metrics covering acquisition, activation, engagement, retention, monetization, and satisfaction. Each row should show current value, previous period, change, target, and a status indicator of on track, at risk, or miss.

Can I use this without a connected analytics tool?▼

Yes. If no analytics tool is connected, you provide the metrics manually as a table, screenshot description, or pasted values along with comparison data and context on recent events like launches or outages.

How do I set good metric targets for OKRs?▼

Start from a reliable baseline, check industry benchmarks, account for the current trend trajectory, and match ambition to investment level. Set both a commit target with high confidence and a stretch target, aiming for roughly 70% completion on stretch OKRs.

Why do aggregate metrics hide important trends?▼

Aggregate numbers can mask opposing movements across segments, such as one cohort growing while another shrinks. Segment breakdowns by plan, geography, or user type reveal the true drivers behind flat or misleading top-line trends.

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