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Zhongwei Li
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---
name: build-forecast-scenarios
description: Generates base/upside/downside revenue forecasts with signal-based adjustments.
usage: /revenue-analytics:build-forecast-scenarios --horizon q4 --granularity weekly --confidence 80 --include-renewals true
---
# Command: build-forecast-scenarios
## Inputs
- **horizon** timeframe (month, quarter, fiscal_year).
- **granularity** cadence for projections (weekly, monthly, cohort).
- **confidence** confidence band (70/80/90) for intervals.
- **include-renewals** true/false to layer in CS signals.
- **drivers** optional JSON/CSV with macro/product/usage adjustments.
## Workflow
1. **Signal Intake** collect bookings actuals, pipeline, product usage, renewal, and macro drivers.
2. **Model Calibration** update conversion rates, seasonality factors, and growth coefficients.
3. **Scenario Generation** produce base/upside/downside plus stress tests tied to driver toggles.
4. **Variance Commentary** explain changes vs prior forecast and targets.
5. **Action Mapping** recommend GTM + finance moves aligned to each scenario.
## Outputs
- Forecast workbook (base/upside/downside) with drivers and confidence bands.
- Variance memo explaining deltas vs prior outlook.
- Action register tied to scenarios (investment, enablement, hiring, demand gen).
## Agent/Skill Invocations
- `revenue-forecasting-analyst` owns modeling + scenario analysis.
- `revenue-intelligence-director` crafts executive narrative.
- `cohort-analysis` skill benchmarks cohorts to validate assumptions.
- `exec-briefing-kit` skill packages summary for leadership/board.
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