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Generalgtmagents

signal-correlation-workbench

Toolkit for linking VoC feedback with telemetry, revenue, and operational

Stars
259
Source
gtmagents/gtm-agents
Updated
2026-04-03
Slug
gtmagents--gtm-agents--signal-correlation-workbench
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/gtmagents/gtm-agents/HEAD/plugins/voice-of-customer/skills/signal-correlation-workbench/SKILL.md -o .claude/skills/signal-correlation-workbench.md

Drops the SKILL.md into .claude/skills/signal-correlation-workbench.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

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.