Simulate Pricing Impact

Command: simulate-pricing-impact

Inputs

• scenario – description of proposed change (e.g., "+10% list", "usage tier change").
• segments – comma-separated segments/cohorts to model.
• metric – pricing driver (seats, usage, API calls, storage).
• elasticity – conservative | moderate | aggressive modeling assumption.
• experiment-window – timeframe to measure post-launch impact.

Workflow

1. Data Aggregation – pull billing, usage, pipeline, and win/loss data for impacted cohorts.
2. Elasticity Modeling – apply elasticity assumptions, sensitivity bands, and attach-rate shifts.
3. Scenario Simulation – calculate ARR, margin, churn, and expansion impacts per segment.
4. Risk & Opportunity Analysis – highlight customer personas or regions most affected.
5. Output Packaging – assemble summary decks, spreadsheets, and recommendation notes.

Outputs

• Scenario comparison table (current vs proposed) with KPIs.
• Elasticity charts + cohort breakdowns.
• Recommendation brief for pricing council.

Agent/Skill Invocations

• monetization-analyst – runs modeling + analysis.
• pricing-architect – aligns assumptions with strategy.
• deal-desk-partner – surfaces field implications.
• elasticity-lab skill – provides modeling templates + guardrails.
• pricing-governance skill – logs approvals + next steps.