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-governance to log council approvals.