ai vendor scorecard
Vendor selections usually end in a weighted spreadsheet that nobody questions. This one does two extra things. A must-have rules a vendor out however well it scores elsewhere, and a swing check tells you which criteria decide the result, so you argue about the weights before the demos rather than after.
Build in-house leads
- 80/100 Build in-house
- 65/100 Vendor B
- 57/100 Vendor A
The winner holds if any single weight drops by a point.
A must-have scored 2 or less rules an option out, whatever its total. Scores are rescaled so all 1s is 0 and all 5s is 100.
questions
how is the score calculated?
A weighted average of the 1–5 scores, rescaled so all 1s is 0 and all 5s is 100. A weight of 0 leaves a criterion out.
what does the swing check do?
For each criterion it lowers the weight by one point and reranks. If the winner changes or ties, that criterion is listed: the decision rests on it, so it deserves the most evidence.
how should i score accuracy?
On a test set built from your own cases, with the hard ones included, run by every vendor under the same conditions. The accuracy proof calculator tells you how many cases you need for the result to mean something.
should building in-house be one of the options?
Usually, yes. It sets the bar on control, audit trail and exit, and the build vs buy calculator gives you its three-year cost.
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Want the numbers checked against your own process? Book a 20-minute call.