# Elasticity Lab

> Use to run pricing elasticity experiments with consistent assumptions and guardrails.

- Skill: `majiayu000/elasticity-lab` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/elasticity-lab`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/elasticity-lab/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/elasticity-lab

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# 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.

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