What analytics tools are covered in this skill?

The skill provides guidance for popular tools including Mixpanel, Amplitude, PostHog, FullStory, and various A/B testing platforms like Optimizely.

Can it help me define my North Star Metric?

Yes, it includes a strategic framework and industry examples to help teams identify the one metric that best represents customer value and correlates with revenue.

How does this skill help with event tracking?

It provides standardized code snippets and patterns for tracking clicks, page views, and user identity across different platforms using best-practice analytics SDKs.

Does this skill help with retention analysis?

Absolutely. It offers specific benchmarks for good retention and instructions on how to use cohort analysis to track improvements in user behavior over time.

Product Analytics Guide

Name: Product Analytics Guide
Author: daffy0208

bydaffy0208

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分析与监控

Implements data-driven measurement strategies through event tracking, funnel analysis, and KPI monitoring to optimize product growth.

关于

This skill equips Claude with specialized knowledge to help developers and product teams set up robust analytics frameworks, define North Star metrics, and implement event tracking across their applications. It provides standardized patterns for measuring user behavior, analyzing retention cohorts, and optimizing conversion funnels, ensuring that engineering efforts align with measurable business value and customer success. Whether you are identifying bottlenecks in a signup flow or choosing between analytics providers like PostHog or Mixpanel, this skill provides the implementation patterns and best practices needed to turn raw data into actionable insights.

主要功能

Funnel analysis insights to identify and fix conversion drop-offs
North Star metric definition and KPI hierarchy frameworks
2 GitHub stars
Cohort and retention curve modeling to measure product stickiness
Comprehensive dashboard design patterns for executive and product teams
Standardized event tracking patterns for user actions and page views

使用场景

Analyzing user drop-off points in a multi-step onboarding funnel to increase activation
Implementing initial event tracking and user identification in a new web application
Designing a product dashboard that monitors North Star metrics and daily active users

关于

主要功能

Funnel analysis insights to identify and fix conversion drop-offs
North Star metric definition and KPI hierarchy frameworks
2 GitHub stars
Cohort and retention curve modeling to measure product stickiness
Comprehensive dashboard design patterns for executive and product teams
Standardized event tracking patterns for user actions and page views

使用场景

Analyzing user drop-off points in a multi-step onboarding funnel to increase activation
Implementing initial event tracking and user identification in a new web application
Designing a product dashboard that monitors North Star metrics and daily active users