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SETDA AI outcome discovery register
A product team running AI discovery gets a structured register of candidate AI outcomes, each correctly categorized (revenue / cost / risk) and mapped to a Sense/Explain/Think/Decide/Act method, with needs and requirements broken out per the SETDA framework.
You receive: A JSON object {productName, outcomes:[{challenge:string, valueCategory:enum['generateRevenue','reduceCost','manageRisk'], setdaMethod:enum['sense','explain','think','decide','act'], needs:[string], requirements:[string]}]}.
Part of Choose Business Model
What you receive
The shape of your delivered file. Your result is generated for your inputs.
Your deliverable is a structured document carrying these fields:
- Challenge
- Needs
- Outcomes
- Product Name
- Requirements
- Setda Method
- Value Category
Some fields carry set values, drawn from:
generateRevenue, reduceCost, manageRisk
sense, explain, think, decide, act
yes, true, 1
Opens soon
STUD opens runs for everyone soon, on every play at once.
Scope of the check
What's verified: STUD verifies the register is structurally complete, each outcome is tagged with a valid value category and a valid SETDA method, all three categories are covered if required, and needs/requirements meet the minimum counts. STUD does NOT verify that the SETDA method is the *right* one for the challenge or that the outcomes are genuinely valuable or achievable with AI.
Get early access to STUD the day it goes live.