← ClaudeAtlas

telemetry-to-product-insightslisted

Use when reviewing product telemetry, funnel notes, event exports, dashboard screenshots, or metric summaries to produce grounded insights, hypotheses, experiments, and data caveats.
alexzhu0/agent-ready-skills · ★ 0 · AI & Automation · score 68
Install: claude install-skill alexzhu0/agent-ready-skills
# 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.