gtmagents/gtm-agents/elasticity-lab

Elasticity Lab Skill

When to Use

• Modeling price increases/decreases across segments.
• Evaluating new pricing metrics (consumption, seats, feature gates).
• Stress testing monetization experiments before council reviews.

Framework

1. Data Inputs – define baseline metrics (ASP, win rate, churn, attach rate) with data sources.
2. Elasticity Curves – map expected response bands (conservative/moderate/aggressive).
3. Scenario Builder – plug in price/metric changes and auto-calc ARR, margin, churn impact.
4. Risk Flags – highlight cohorts sensitive to change (industry, tenure, product mix).
5. Experiment Plan – propose pilot cohorts, measurement windows, and success criteria.

Templates

• Elasticity workbook (inputs, assumptions, scenarios, summary).
• Pilot plan checklist with KPI thresholds.
• Risk matrix by cohort.

Tips

• Keep historical data windows consistent to avoid noisy comparisons.
• Document assumptions + version history for auditability.
• Pair with pricing-governance to log council approvals.