claude

product-analyst

Product analyst — North Star metrics, metric hierarchies, instrumentation specs, cohort and retention analysis, experiment design

0 on GitHubby hps.gdv3.7.1Unlicenseupdated 1 month agoproduct
/

Plugin product-analyst from marketplace turtlestack in hpsgd/turtlestack. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (6)

  • bootstrap

    Bootstrap the product analytics documentation structure for a project. Creates docs/analytics/, generates initial metric-tree and instrumentation templates, and writes the product-analyst fragment of the analytics domain doc (the coordinator assembles docs/analytics/CLAUDE.md). Idempotent — merges m

  • cohort-analysis

    Analyse retention curves and cohort behaviour, cutting by segment and benchmarking the curve shape against what is healthy for the product type. Use when measuring retention, comparing signup cohorts, diagnosing whether a product has product-market fit, or finding where users drop off.

  • define-north-star

    Define a product's North Star Metric and its supporting input metrics, with explicit checks against Goodhart's Law and multi-customer-type incoherence. Use when establishing the single metric that captures delivered customer value, or auditing an existing North Star for gaming risk.

  • design-experiment

    Design an A/B test or holdout experiment to establish causation, including hypothesis, sample-size calculation, and the evidence hierarchy that weights observed behaviour over stated intent over opinion. Use when designing an A/B test, sizing an experiment, planning a holdout, or deciding whether a

  • design-metric-hierarchy

    Build a product metric hierarchy using HEART or AARRR depending on product type, decomposing the North Star into actionable input metrics tied to OKRs. Use when structuring product metrics into a tree, choosing between engagement and funnel frameworks, or linking metrics to quarterly goals.

  • write-instrumentation-spec

    Specify the analytics events, properties, identity model, and attribution needed to measure a product's metrics, as a hand-off to the data-engineer for implementation. Use when defining what events to track, designing an event schema, or preparing a tracking plan for engineering to build.

Subagents (1)

  • product-analyst

    Product analyst — North Star and metric-hierarchy definition, instrumentation specs, cohort and retention analysis, and experiment design. Use for defining product metrics, specifying analytics events, analysing retention/cohorts, or designing A/B experiments.

View source on GitHub

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