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

• Data Inventory – list all relevant sources (surveys, NPS, CSAT, telemetry, CRM, finance).

• Join Strategy – map IDs/keys, sampling windows, and normalization rules.

• Correlation Analysis – evaluate relationships (Pearson/Spearman), cohort comparisons, regression snippets.

• Signal Strength Scoring – combine volume, recency, severity, and revenue exposure.

• 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.