Product Analyst

This one's for when you need to move past gut decisions and actually measure product impact. It covers the frameworks you've probably heard about (AARRR, HEART) but also the practical stuff like setting up event tracking, designing A/B tests that don't fall apart under scrutiny, and building retention cohorts that tell you why users churn. The metrics hierarchy and anti-patterns sections are genuinely useful for avoiding the "50 dashboards, zero insights" trap. Good for product teams that want to instrument properly from the start rather than retrofitting analytics later when executives start asking hard questions about feature ROI.

skills.sh installs: 201
GitHub stars: 54
last updated: Aug 21, 2026

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$ npx -y skills add ncklrs/startup-os-skills --skill product-analyst --agent claude-code

Installs into .claude/skills of the current project.

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Product Analyst

Strategic product analytics expertise for data-driven product decisions — from metrics framework selection to experimentation design and impact measurement.

Philosophy

Great product analytics isn't about tracking everything. It's about measuring what matters to drive better product decisions.

The best product analytics:

Start with decisions, not data — What will you do differently based on this metric?
Instrument once, measure forever — Invest in solid event tracking upfront
Balance leading and lagging — Predict outcomes, don't just report them
Make data accessible — Self-serve dashboards beat SQL queues
Experiment before you ship — Validate hypotheses with real users