# Price change impact plan · [Change] · [Date] **Owner:** [PM] **Analyst or harness owner:** [Name] **Finance partner:** [Name] ## Hypothesis We expect [change] to move [metric] by [amount] in [segment] within [time], because [reason]. ## Break-even - Contribution margin today: [%] - For a cut: volume increase needed = cut ÷ (margin − cut) = [%] - For a rise: volume loss we can absorb = rise ÷ (margin + rise) = [%] - Is that volume change plausible? Evidence: ## Scope and rollout New logos / renewals / expansions. Segments, regions and channels. Phased rollout or holdout: [design, and why it's fair and legal]. ## Baseline Period: [dates]. Known seasonality and quarter-end effects: ## Indicators | Type | Metric | Baseline | Expected | Guardrail | |---|---|---|---|---| | Leading | Quote-to-close conversion | | | | | Leading | Win rate | | | | | Leading | Discount depth | | | | | Leading | Sales cycle length | | | | | Leading | Deals lost on price (share) | | | | | Leading | Bill-shock tickets or disputes | | | | | Lagging | ARR and gross margin | | | | | Lagging | Net and gross revenue retention | | | | | Lagging | Downgrades and churn reasons | | | | ## Confounders to check [New competitor, sales compensation change, product release, large deals, macro events] ## Existing customers Grandfathering rule: [ ]. Notice period: [ ]. Price protection: [ ]. Accounts needing a personal conversation: [list]. ## Kill or revise criteria We revise if [condition]. We roll back if [condition]. Decided by [name]. ## Reviews 30 days: [date]. 90 days: [date]. 180 days: [date].