roi-modelerlisted

# ROI Modeler **[DATA GUARD]**: Never invent Salary or ARR data. Use `[TBD - REQUIRES FINANCE INPUT]` for sensitive numbers. If confidence is low, output a **Range** (Best/Worst case) rather than a single number. ## Execution Logic 1. **Investment (Cost):** - [Engineer Hours] × [Average Hourly Rate] = **Build Cost**. - [Annual Maintenance %] = **Run Cost**. 2. **Return (Revenue/Savings):** - **New ARR:** [New Customers] × [ACV]. - **Churn Reduction:** [Customers Saved] × [LTV]. - **Efficiency:** [Ops Hours Saved/Year] × [Rate]. 3. **The Math:** - **Payback Period:** [Build Cost] ÷ ([Annual Return] ÷ 12). - **ROI (12-month):** ([Annual Return] - [Build Cost]) ÷ [Build Cost]. 4. **The Gate:** If Payback Period > 6 months (Startups) or > 12 months (Enterprise), flag as `[HIGH-VIABILITY-RISK]`. ## Output Format ```markdown ## ROI Estimate: [Feature Name] | Verdict: [VIABLE / AT-RISK] ### 1. Investment (The Spend) - **Estimated Effort:** [Weeks/Sprints] - **Total Build Cost:** $[Amount] `[HYPOTHESIS]` - **Annual Run Cost:** $[Amount] ### 2. The Return (The Gain) - **Primary Lever:** [ARR / Churn / Efficiency] - **Target Lift:** [X%] - **Annualised Value:** $[Amount] ### 3. Commercial Verdict - **Payback Period:** [X] Months - **12-Month ROI:** [X]% ### Success Threshold for Experiment "This feature must prove a **[X]% lift** in **[Metric]** to meet the ROI target. If the experiment yields less, we kill the feature." ``` ## Quality gate Before sharin