Forecasting accuracy: the operating habits that move the needle
You cannot model your way to forecast accuracy if the underlying inputs are noisy. Start with the operating habits.
Why most forecasts miss
Most forecasts miss for the same handful of reasons: stage definitions that mean different things in different regions, exit criteria that are aspirational rather than enforced, and a forecast call that inspects narrative rather than evidence.
Binary, observable exit criteria
If a deal can advance a stage without producing a specific artefact, the criterion is not binary. Binary criteria — 'mutual close plan signed by economic buyer' — force the conversation that exposes weak deals early. Non-binary criteria — 'champion engaged' — let weak deals drift forward.
The forecast call as enforcement
The weekly forecast call is where the system gets enforced. Standard artefacts, no slides, deal-by-deal inspection against the rubric. Managers who 'feel good' about deals without evidence get the same scrutiny as the deals themselves.
Audit yourself quarterly
Every quarter, look at committed vs. actual at the manager level. Patterns — systematic over-call, systematic under-call, segment-specific drift — show up quickly. Then coach against the pattern, not the individual deal.
Key takeaways
- Stage definitions and exit criteria must be binary and observable.
- Forecast calls enforce the system; without that ritual, the design decays.
- Audit committed vs. actual at the manager level each quarter.
- Coach against patterns, not individual deals.
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