Question
No. Kaypo normalizes around 300 stage strings automatically, so "6 - Closed/Won" reads as closed and won and "01. Prospecting" reads as new. An unrecognized stage is never refused a score.
A scoring tool has to know whether a stage means early or late. The usual answer is a setup screen where somebody maps every stage in every pipeline. It is a job nobody wants and it goes stale the moment a pipeline changes.
A vocabulary layer normalizes the string: strips numbering, years, quarters and separators, expands abbreviations, matches exactly, then fuzzily for typos. "6 - Closed/Won" reads as closed and won. "01. Prospecting" reads as new. "Negociation" still reaches committed.
Around 300 stage terms are recognized. Nobody maps anything.
It is never refused a score. It reads as working, the deal is marked interpreted, and the interface says so. The product exists to read an ambiguous pipeline, not to make somebody tidy one first.
Questions
Kaypo does not ask anybody to map pipeline stages. Stage strings are normalized automatically against around 300 recognized terms, including numbered, abbreviated and misspelled ones.
It is read as working, the deal is marked interpreted, and the interface says so. It is never refused a score.
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
The three ways to score deals in a CRM, what each costs in time and money, and why most home built scoring models stop being maintained within a quarter.
Every pipeline has deals that are alive and deals being carried. The difference shows in what the buyer did, not the stage somebody dragged the card to.
Most forecasts multiply deal value by a stage probability nobody has checked. Here is the gap between that number and the actual win rate.
One decides whether to work something. The other decides whether it will close. Using one model for both is why both get ignored.
Reviewed September 20, 2026 against the product as it behaves today.