pipeline-and-forecastlisted

# Pipeline & Forecast See whether the pipeline can actually hit the target — weighted forecast, coverage, the gap, and how much new pipeline to build. ## When to use When forecasts are sandbagged or wishful and you want a grounded number, when you need to know whether there's enough pipeline to make quota, when deciding whether to add pipeline or push the deals you have, or for board/quota reporting. ## Before you start 1. **Read the brand/product context first.** Pull any relevant goals/targets from `.agents/product-marketing.md`. If none exists, ask the user. 2. **Gather inputs:** the target/quota for the period, the open deals (amount + stage), the stage→probability mapping (from `sales-process-design` or historical conversion — not optimism), and the average win rate. If stages and probabilities aren't defined, run `sales-process-design` first. 3. **Confirm the objective:** a defensible number and the right lever to pull. (For LTV/CAC/payback questions, that's `unit-economics`.) ## Method Weight open pipeline by real stage probabilities to get an expected forecast, then compare open pipeline to the target as a coverage ratio against the ~1/win-rate benchmark. Separate commit (near-certain) from best case (everything open) so the number is honest, and name the lever: build pipeline if coverage is thin, or improve conversion if coverage is fine but the forecast is short. ## Workflow 1. **Gather the target and the open pipeline** — deals with amount and stage. 2. **