| name | elasticity-lab |
| description | Use to run pricing elasticity experiments with consistent assumptions and guardrails. |
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
- Data Inputs – define baseline metrics (ASP, win rate, churn, attach rate) with data sources.
- Elasticity Curves – map expected response bands (conservative/moderate/aggressive).
- Scenario Builder – plug in price/metric changes and auto-calc ARR, margin, churn impact.
- Risk Flags – highlight cohorts sensitive to change (industry, tenure, product mix).
- 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-governanceto log council approvals.