By building conversion history, so the number has a method behind it rather than a feeling.
Kaypo scores each open deal on buyer behaviour rather than rep confidence, so the forecast has evidence per deal instead of a single judgment per rep.
That forecast was rebuilt in a spreadsheet every week by whoever had time. Conversion history by stage and exit criteria that were objectively true or false moved accuracy 18 points, and the weekly rebuild stopped.
Build conversion history by stage over four quarters and weight the forecast on that, with exit criteria that are objectively true or false. Keep the rep call alongside it.
Roughly four quarters of closed opportunities with stage history retained. Below about fifty deals a quarter, conversion history beats any predictive tool.
Not until stages mean the same thing to every rep. A tool applies method to your data; it does not improve the data.
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