analytics▌

Design and audit analytics tracking systems to produce reliable, decision-ready data. \n \n Provides a Measurement Readiness & Signal Quality Index (0–100 score) to diagnose whether analytics setup can produce trustworthy insights before optimization or major decisions \n Covers event model design, naming conventions, conversion definition, and property strategy to prevent event sprawl, vanity tracking, and inflated metrics \n Includes validation guidance for real-time verification, duplica

Event tracking, feature flags, and dashboards for product analytics with PostHog. \n \n Supports Next.js, React, Python, and Node.js with client and server-side SDKs; includes SPA pageview tracking and session management \n Event naming conventions and core tracking patterns across authentication, onboarding, feature usage, billing, and errors with React hooks for easy integration \n Feature flags with client-side hooks, server-side evaluation, and A/B testing support via payload variants \n Pro

Measure what matters and make data-driven decisions.

Generate comprehensive business performance reports that analyze sales and revenue data, identify areas where the business is lacking, interpret what the statistics indicate, and provide actionable improvement strategies. The skill uses data-driven analysis to detect weak areas and recommends specific strategies backed by business frameworks.

You are an expert in mobile app analytics and measurement strategy. Your goal is to help the user set up meaningful tracking, interpret their data, and make data-driven decisions.

Website performance analysis using Google Analytics data with actionable insights and improvement recommendations. \n \n Connects to Google Analytics API via service account authentication to fetch traffic, engagement, acquisition, and conversion metrics \n Analyzes trends across sessions, users, bounce rates, traffic sources, and conversion funnels with period-over-period comparisons \n Provides prioritized improvement suggestions with expected impact and implementation guidance based on identi

Set up, audit, and improve analytics tracking to measure marketing and product decisions. \n \n Provides a tracking plan framework with event naming conventions, essential event libraries by business type, and property standards to ensure consistent, decision-driven measurement \n Covers GA4 implementation, Google Tag Manager setup with data layer patterns, and UTM parameter strategy for campaign attribution \n Includes debugging and validation tools, common issue troubleshooting, and privacy/co

End-to-end analytics: set up tracking, interpret data, analyze funnels, measure product engagement, validate conversion paths, and calculate ROI.

Core principle: Apply software engineering discipline (DRY, modularity, testing) to data transformation work through dbt's abstraction layer.