About elasticity-lab
elasticity-lab is a skill for modeling how pricing changes may affect customer segments and monetization metrics. It provides scenario analysis, cohort risk flags, and pilot-planning templates for pricing reviews and experiments.
Key features
- 01Pricing data inputs
- 02Elasticity response bands
- 03Scenario impact calculations
- 04Cohort risk flags
- 05Pilot planning templates
Use cases
- 01Model price changes across segments
- 02Assess new consumption or seat metrics
- 03Stress-test monetization experiments
- 04Plan pricing pilots and success criteria
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/elasticity-labin Claude Code to confirm it loaded.
Details
From the project READMEElasticity 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.
Comments
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