Does it provide support for A/B testing?

Yes, it assists in designing rigorous experiments, defining clear hypotheses, and ensuring statistical significance to validate product changes before full rollout.

How does this skill help with user retention?

It provides specialized frameworks for cohort analysis and churn prediction to help you identify exactly when and why users leave, allowing for targeted optimization.

Can it help me choose the right analytics tools?

Yes, it offers expert guidance on selecting platforms like Mixpanel or Amplitude based on your technical requirements, budget, and business maturity.

What is a North Star metric according to this skill?

It helps you identify the single key metric that captures the core value your product delivers, ensuring your entire team stays focused on long-term success rather than vanity metrics.

App Analytics Strategist

Name: App Analytics Strategist
Author: maxvaega

bymaxvaega

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Analíticas y Monitorización

Develops comprehensive data analytics frameworks and growth strategies for mobile and digital applications to optimize user engagement and retention.

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The App Analytics Strategist skill transforms Claude into a specialized digital data consultant capable of designing sophisticated tracking plans and growth methodologies. It provides domain-specific guidance on identifying North Star metrics, implementing cohort analysis, and building Product-Led Growth (PLG) strategies. This skill is essential for product managers and developers who need to move beyond vanity metrics toward actionable, data-informed decision-making, offering proven patterns for A/B testing, user segmentation, and predictive churn modeling.

Características Principales

Analytics framework design ranging from descriptive to prescriptive models
17 GitHub stars
Advanced cohort analysis implementation for retention tracking
North Star metric definition and validation for core product value
Product-Led Growth (PLG) strategy and onboarding optimization
Rigorous A/B testing program design with statistical best practices

Casos de Uso

Defining a comprehensive tracking plan and event schema for a new mobile application launch
Comparing and selecting the right analytics stack like Mixpanel, Amplitude, or GA4 based on business needs
Analyzing user churn patterns using behavioral cohorts to identify friction points

Acerca de

Características Principales

Analytics framework design ranging from descriptive to prescriptive models
17 GitHub stars
Advanced cohort analysis implementation for retention tracking
North Star metric definition and validation for core product value
Product-Led Growth (PLG) strategy and onboarding optimization
Rigorous A/B testing program design with statistical best practices

Casos de Uso

Defining a comprehensive tracking plan and event schema for a new mobile application launch
Comparing and selecting the right analytics stack like Mixpanel, Amplitude, or GA4 based on business needs
Analyzing user churn patterns using behavioral cohorts to identify friction points