Question
Weighted pipeline and commit measure different things.
Weighted pipeline is a calculation applied to every open deal. Commit is a person saying they will deliver a number. Comparing them is useful; treating either as the other is how forecasts go wrong.
What each one is.
Weighted pipeline multiplies deal value by a probability and sums it. It is arithmetic, it includes every open deal, and it has no judgment in it.
Commit is a person putting their name to a number. It includes only what they believe, and it is a promise rather than a calculation.
Why the gap is the useful part.
Commit well below weighted pipeline means either sandbagging or a pipeline full of deals nobody believes in. Both are worth knowing and they need different responses.
Commit above weighted pipeline usually means optimism about specific deals, which is worth testing one at a time.
The probability problem.
Weighted pipeline is only as good as the probabilities, and most are CRM defaults nobody has checked against outcomes. That is worth one query before trusting any of it.
A third read.
Kaypo weights each deal by what the buyer actually did rather than by its stage, which gives you a number to compare against both the arithmetic and the promise. Where all three agree you have a forecast; where they diverge you have a list of deals to look at.
Questions
What is the difference between weighted pipeline and commit?
Weighted pipeline is deal value times probability across every open deal. Commit is a person promising a number. One is arithmetic, the other is judgment.
Should commit be higher or lower than weighted pipeline?
Usually lower, since commit excludes deals nobody believes in. A large gap in either direction is worth investigating rather than averaging.
It arrives in Slack
Every morning, each rep gets one message naming the deals on their own book that moved overnight, biggest mover first, with the reason beside each number and the deals that have gone quiet underneath.
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Related reading
Why your forecast is wrong, and the query that shows by how much
Most forecasts multiply deal value by a stage probability nobody has checked. Here is the gap between that number and the actual win rate.
What pipeline coverage is, and why 3x is usually wrong
Pipeline coverage is open pipeline divided by quota. The standard 3x rule is a guess, and your own win rate gives you a better number.
When a rep forecast does not match their pipeline
Systematically low commit against a healthy book, and the opposite. How to tell either apart from genuine caution.
Where AI actually helps in a sales workflow, and where it does not
A specific view rather than a survey: which parts of selling AI is genuinely good at today, and which parts it makes worse.
Reviewed September 20, 2026 against the product as it behaves today.