What this covers
- Why the close date lies
- Weighting by stage, using your own history
- The three numbers to report
- Forecast accuracy is a metric too
Why the close date lies
Ask most saas & technology teams for a forecast and you get a filtered list: every open deal with a close date this quarter, totalled. The number is precise and almost always wrong, because a close date is a statement of intention rather than evidence.
The trial is the real qualifier. Deals that skip it close slower and churn faster.
The information that actually predicts an outcome is not the date. It is the stage, how long the deal has been sitting in it, and what proportion of deals historically clear that stage.
Weighting by stage, using your own history
A defensible forecast weights each deal by the historical conversion rate of the stage it currently occupies. If Discovery converts at 46% for you, a deal sitting there counts as 46% of its value — not 100% because someone typed an optimistic date.
The weights must come from your own history, not an industry benchmark. Two saas & technology businesses with different contact mixes will have genuinely different curves, and borrowing someone else's produces a number that is confidently wrong.
- Full pipeline: every open deal, unweighted
- Weighted pipeline: each stage discounted by its own conversion rate
- Committed: deals past Trial/POC with a named next step
The three numbers to report
Report all three and the conversation changes. Full pipeline shows capacity, weighted shows the realistic expectation, and committed shows what you would defend in front of a board. Reporting only the first is how teams end a quarter surprised.
The pipeline itself has to carry the right stages first. A generic five-stage funnel cannot represent Discovery, so weighting it produces arithmetic applied to the wrong categories.
Forecast accuracy is a metric too
Track how far each month's forecast landed from actual collected revenue. Most teams never measure this, so nobody learns whether the forecast is systematically optimistic — and it usually is, by a consistent margin you could simply correct for.
Measure against collected revenue rather than closed-won. In saas & technology the gap between booking and payment is often material, and a forecast that stops at close is answering a different question from the one finance is asking.