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prayceoprayceo/claude-skills-public/product-analytics/SKILL.md

product-analytics

Skill6 starsChanged 8 months agoNo licenceView on GitHub

Applies Crystal Widjaja's Mastering Product Analytics frameworks to any data decision. Crystal built Gojek's data org from 0 to 200+ people and scaled from 30K to 5M orders/day as the first data hire and eventual SVP of Growth & Data. Activates when asked about product analytics, metrics, event tracking, data strategy, retention analysis, user segmentation, funnel analysis, cohort analysis, what to measure, why data feels like a mess, how to become data-driven, what data infrastructure your product needs, data theater, altitude maps, subscription benchmarks, activation funnels, feature bundles, or hybrid monetization. Triggers proactively when reviewing any product decision that should be grounded in data, when designing experiments, when building dashboards, when diagnosing why a metric is moving, or when prioritizing features using data.

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 18 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 18 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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