Signal Correlation Workbench
Toolkit for linking VoC feedback with telemetry, revenue, and operational data.
claude plugin marketplace add gtmagents/gtm-agentsWhat this skill does
- 1Inventories all relevant data sources: NPS, CSAT, support tickets, product telemetry, CRM, and finance data.
- 2Maps join keys, sampling windows, and normalization rules needed to merge VoC tags with operational data.
- 3Runs correlation analysis (Pearson, Spearman) and cohort comparisons to quantify feedback impact on churn and expansion.
- 4Scores signal strength by combining volume, recency, severity, and revenue exposure into a single index.
- 5Translates statistical findings into plain-language summaries, dashboard layouts, and actionable levers.
When to use
- Quantifying whether a recurring customer complaint actually correlates with churn or contraction.
- Connecting support ticket themes, product usage drops, and survey scores into a unified health narrative.
- Testing whether a specific leading indicator reliably predicts customer health before investing in a fix.
- Building an exec-ready business case that ties qualitative feedback to revenue impact.
Best for
Format
Frequently asked questions
What is Signal Correlation Workbench?
Signal Correlation Workbench is a Claude Code skill for discovery by GTM Agents. Toolkit for linking VoC feedback with telemetry, revenue, and operational data.
When should I use Signal Correlation Workbench?
Quantifying whether a recurring customer complaint actually correlates with churn or contraction. Connecting support ticket themes, product usage drops, and survey scores into a unified health narrative.
How do I install Signal Correlation Workbench?
Run the install command (claude plugin marketplace add gtmagents/gtm-agents). Once the skill is in place, Claude Code loads it automatically whenever a task matches what it does.
Is Signal Correlation Workbench free to use?
Yes. Signal Correlation Workbench is open source under the Apache-2.0 license, published in the gtmagents/gtm-agents repository on GitHub.