Build it three ways and show the range, not a single figure: bottom up from deal level commits with entry criteria applied strictly, top down from historical stage conversion applied to today's pipeline (the version that ignores rep optimism), and a capacity view of productive reps times realistic productivity. If the three land within about ten percent of each other, call the middle and sleep. If they diverge badly, that divergence is the real finding and you should present it as such rather than quietly averaging it away. Then say out loud what would have to go wrong for you to miss and what would have to go right to beat it. A number offered with its assumptions is defensible, a number offered alone is just a promise.
3 hand-picked resources, 3 link-checked. Pick how you want to dig in.
Why we picked it Defines accuracy against the day one forecast rather than the revised one, which is the single change that makes the metric honest. Includes the grading bands most leaders now quote.
From Forrester by Dana Therrien 7 min read
Open forrester.com →Why we picked it Gives testable definitions for pipeline, best case and commit, including the entry criteria a deal must meet. Copy these into your CRM and most forecast arguments disappear.
From Clari by Blair Stokes 9 min read
Open clari.com →Why we picked it Explains why the 3x rule of thumb is wrong for most teams and shows how to derive your own coverage number from your actual win rate. Weighted versus unweighted coverage is handled properly too.
From Clari by Jess Richter 11 min read
Open clari.com →How forecasting and gtm metrics reads from a different seat.
