Build · Assess & Decide · Analysis & Finance

Build a Protagonist-Selection Pain-and-Gain Scorecard

I get a structured scorecard of every candidate protagonist with pain and gain scores plus role tags, and exactly one flagged as the chosen protagonist, where the choice provably maximizes the pain+gain rule from the book.

You receive: A JSON object {candidates:[{name, role, painScore, gainScore, isChosen}]} where role is from a fixed enum and scores are on a fixed 1-5 scale.

Part of Pitch Investors

What's verified: STUD verifies every candidate is scored on pain and gain within range, tagged with a valid role, and that the single chosen protagonist provably maximizes the pain+gain sum under the stated tie-break. STUD does NOT verify that the pain/gain scores are accurate to the real market, nor that the chosen protagonist will actually make the best story.

{
 "buyerParamKeys": [
  "candidateNames",
  "roleEnum",
  "tiebreak"
 ],
 "checkNames": [
  "format_parses",
  "has_candidates",
  "candidates_are_objects",
  "nonempty_names",
  "coverage",
  "roles_valid",
  "scores_range",
  "one_chosen",
  "chosen_maximizes"
 ],
 "constants": {},
 "deliverableLabel": "protagonist_selection_scorecard",
 "documentKeys": [
  "candidates",
  "gainScore",
  "isChosen",
  "name",
  "painScore",
  "role"
 ],
 "enumLiterals": [
  [
   "pain",
   "gain"
  ]
 ],
 "submission": "a JSON document (submitted as a string), validated as data; every check below must pass",
 "tier": "doc-validator"
}