How does it help with user retention analysis?

The skill provides templates for plotting retention curves by cohort, comparing D1/D7/D30 retention, and identifying the 'activation moment' that predicts long-term user value.

What frameworks does this skill support?

It supports comprehensive frameworks including North Star metrics, L1/L2 health indicators, OKRs (Objectives and Key Results), and user lifecycle stages such as Activation and Retention.

Can this skill help me design a data dashboard?

Yes, it provides specific principles for information hierarchy, visual status indicators, and choosing actionable metrics to ensure your dashboards support decision-making.

Does it assist with setting team goals?

Absolutely. It includes a detailed OKR guide for setting qualitative objectives and quantitative, outcome-based key results, along with advice on grading and review cadences.

Product Metrics Tracking

Name: Product Metrics Tracking
Author: lilbom32

bylilbom32

0•

分析与监控

Defines, tracks, and analyzes product performance using expert frameworks for North Star metrics, OKRs, and actionable dashboards.

The Metrics Tracking skill transforms Claude into a specialized product management consultant capable of architecting comprehensive data frameworks. It provides structured guidance on establishing a metrics hierarchy—from high-level North Star metrics to granular diagnostic indicators—while offering deep dives into user lifecycle stages including acquisition, activation, and retention. Whether you are setting quarterly OKRs, designing high-impact dashboards, or conducting systematic performance reviews, this skill ensures your product strategy is grounded in actionable data and industry-standard growth methodologies.

主要功能

01Data-driven dashboard design and visualization principles

020 GitHub stars

03User lifecycle analysis (Acquisition, Activation, Engagement, Retention, Monetization)

04OKR framework implementation and best practices

05Hierarchical metric modeling (North Star, L1, and L2 indicators)

06Structured templates for weekly, monthly, and quarterly metric reviews

使用场景

01Diagnosing retention issues using cohort analysis and activation funnels

02Establishing outcome-based OKRs to align engineering and product teams

03Defining a value-aligned North Star metric for a new product launch

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lilbom32/ketnoitrithuc metrics-tracking

For use in Claude.ai and ChatGPT

主要功能

01Data-driven dashboard design and visualization principles

020 GitHub stars

03User lifecycle analysis (Acquisition, Activation, Engagement, Retention, Monetization)

04OKR framework implementation and best practices

05Hierarchical metric modeling (North Star, L1, and L2 indicators)

06Structured templates for weekly, monthly, and quarterly metric reviews

使用场景

01Diagnosing retention issues using cohort analysis and activation funnels

02Establishing outcome-based OKRs to align engineering and product teams

03Defining a value-aligned North Star metric for a new product launch

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lilbom32/ketnoitrithuc metrics-tracking

For use in Claude.ai and ChatGPT