Can it help interpret retention curves?

Yes, the skill provides a methodology to analyze retention curve shapes, helping you distinguish between onboarding mismatches and healthy core audience plateaus.

Can this skill help with technical metric calculations?

Yes, it includes a metrics calculator utility for generating cohort tables, retention rates, and funnel conversion analysis from raw event data.

Is it suitable for early-stage startups?

Absolutely. It provides specific KPI guidance for the pre-PMF stage, focusing on activation rates, week-1 retention, and time-to-first-value.

How does it assist in dashboard design?

It offers structured principles for creating layered dashboards that separate executive-level directional metrics from feature-specific adoption data.

What metric frameworks does this skill support?

It supports popular frameworks including AARRR (Pirate Metrics) for growth loops, North Star for strategic alignment, and HEART for measuring UX quality.

Product Analytics & Metrics

Name: Product Analytics & Metrics
Author: micsapp

bymicsapp

0•

分析と監視

Defines, tracks, and interprets product KPIs and retention metrics to drive data-informed product development.

This skill empowers Claude to act as a product analyst, helping teams navigate various product stages—from pre-PMF to maturity—by implementing proven frameworks like AARRR, North Star, and HEART. It provides structured guidance on defining stage-appropriate KPIs, designing multi-layered dashboards, performing deep-dive cohort analysis, and interpreting retention curves to identify actionable product improvements. Whether you are setting up your first tracking plan or optimizing growth loops, this skill ensures your metrics align with strategic business outcomes and provides the CLI tools to calculate them efficiently.

主な機能

01Implementation of industry-standard frameworks like AARRR, North Star, and HEART

02Data-driven interpretation of feature adoption trends and funnel conversion

030 GitHub stars

04Structured dashboard design principles for executive and feature-level reporting

05Stage-specific KPI mapping for pre-PMF, growth, and mature product cycles

06Automated cohort and retention analysis with built-in CLI metric calculations

ユースケース

01Analyzing user retention curves to identify friction points in onboarding

02Designing a comprehensive KPI dashboard for a new product launch

03Defining North Star metrics to align cross-functional teams on long-term value

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills product-analytics

For use in Claude.ai and ChatGPT

主な機能

01Implementation of industry-standard frameworks like AARRR, North Star, and HEART

02Data-driven interpretation of feature adoption trends and funnel conversion

030 GitHub stars

04Structured dashboard design principles for executive and feature-level reporting

05Stage-specific KPI mapping for pre-PMF, growth, and mature product cycles

06Automated cohort and retention analysis with built-in CLI metric calculations

ユースケース

01Analyzing user retention curves to identify friction points in onboarding

02Designing a comprehensive KPI dashboard for a new product launch

03Defining North Star metrics to align cross-functional teams on long-term value