Signal Correlation Workbench Skill

When to Use

• Quantifying the impact of qualitative feedback on churn, expansion, and adoption.
• Connecting support data, product usage, and survey responses into a unified narrative.
• Testing hypotheses about leading indicators for customer health.

Framework

1. Data Inventory – list all relevant sources (surveys, NPS, CSAT, telemetry, CRM, finance).
2. Join Strategy – map IDs/keys, sampling windows, and normalization rules.
3. Correlation Analysis – evaluate relationships (Pearson/Spearman), cohort comparisons, regression snippets.
4. Signal Strength Scoring – combine volume, recency, severity, and revenue exposure.
5. Insight Packaging – translate stats into plain language, visuals, and actionable levers.

Templates

• SQL/notebook snippets for merging VoC tags with product/CRM tables.
• Dashboard layout showing signal volume vs impact.
• Experiment tracker linking hypotheses to validated outcomes.

Tips

• Watch for survivor bias; include lost customers when possible.
• Flag data quality caveats prominently to maintain trust.
• Pair with

  synthesize-voc-insights

  to auto-embed correlations into narratives.

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