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Telemetry to product insights

Skill alexzhu0/agent-ready-skills/skills/telemetry-to-product-insights

Ten practical AI-agent skills for turning messy work into clear context, evals, reviews, and launch-ready artifacts.

Install
npx -y skills add alexzhu0/agent-ready-skills --skill telemetry-to-product-insights

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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What its author says it does

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Use when reviewing product telemetry, funnel notes, event exports, dashboard screenshots, or metric summaries to produce grounded insights, hypotheses, experiments, and data caveats.

SKILL.md

1.4 KB, 256 tokens by cl100k_base, as published. Nobody here has run it

Telemetry To Product Insights

Purpose

Convert product metrics into usable product insight without pretending the data proves more than it does.

Fit

  • Use when telemetry needs to inform a product decision, experiment, or follow-up analysis.
  • Do not use when metrics definitions, time window, and source are completely unknown.

Inputs

  • Event exports, dashboard screenshots, funnel notes, or metric summaries.
  • Product context, time window, cohorts, and tracking definitions if available.
  • The decision the metrics should inform.

Workflow

  1. Restate the metric source, time window, and known limitations.
  2. Identify signal, noise, anomalies, and missing breakdowns.
  3. Convert observed patterns into hypotheses.
  4. Recommend experiments or follow-up analysis.
  5. Mark any data quality issues that weaken confidence.

Output

Produce Markdown with:

  • Data Snapshot
  • Key Observations
  • Product Insights
  • Hypotheses
  • Experiments
  • Data Caveats
  • Next Questions

Validation

  • Insights are tied to observed data.
  • Correlation is not presented as causation.
  • Missing definitions or windows are called out.
  • Experiments include a measurable success signal.
  • Caveats are visible, not buried at the end.

Keep looking

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