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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'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.
Opens soon
This objective is verified and ready. It opens soon, once sign-in and payments are live.
Deliverable interface
The exact vocabulary the automated check enforces: keys, tokens, entry points, and worked examples. Generated from the verification source.
{
"buyerParamKeys": [
"productName",
"requireAllValueCategories"
],
"checkNames": [
"format_parses",
"product_matches",
"outcomes_nonempty_array",
"min_outcomes",
"value_category_enum",
"setda_method_enum",
"needs_cardinality",
"requirements_cardinality",
"challenge_present",
"challenge_unique",
"value_category_coverage"
],
"constants": {},
"deliverableLabel": "setda_ai_outcome_register",
"documentKeys": [
"challenge",
"needs",
"outcomes",
"productName",
"requirements",
"setdaMethod",
"valueCategory"
],
"enumLiterals": [
[
"generateRevenue",
"reduceCost",
"manageRisk"
],
[
"sense",
"explain",
"think",
"decide",
"act"
],
[
"yes",
"true",
"1"
]
],
"submission": "a JSON document (submitted as a string), validated as data; every check below must pass",
"tier": "doc-validator"
}Get early access to STUD the day it goes live.