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Recruit participants

Find the right people, including people often left out, and handle consent.

For UX researcher · Knowledge pack and an independent checker

What are you writing?

One line is enough. Step 1 asks the rest in your AI app, and nothing is done until you approve the brief it writes.

It never leaves this computer: not uploaded to Cheatcode, never used to train a model. Your AI app reads it from the case folder.

Add details (optional)
Start

Step 1 asks anything else it needs, in your AI app. Nothing you write here or put in the case folder comes to Cheatcode.

In the case folder's materials/: The notes, documents or past examples it should rest on.

The 5 steps

  1. 01

    Gather and frame

    Then you approve, before the next step starts.

  2. 02

    Outline

    Then you approve, before the next step starts.

  3. 03

    Draft

  4. 04

    Independent check

  5. 05

    Finish

How it does this well

One writer from the person's material, checked by a fresh reader. Not found and out of scope are valid answers here: it says so instead of guessing.

How the field does this well
  • Give synthesis the study context: goals, research questions and prior findings, or trivial findings crowd out useful ones.
  • Keep participant words apart from interpretation, and tie each finding to participant, session and timestamp.
  • Code with a small set of described tags.
  • Critique only against a named checklist the agent can detect reliably, and mark each item observed or inferred.
Ground it first

Ask for, or look in materials/ for: the study goals and research questions, participant details, and the design principles or checklist to judge against. If there is none, say plainly that the result rests on general defaults, and name them.

What stays with the person

Interpretation, prioritization against the study goals, and design decisions. Prepare these; never decide them.

The check that makes it trustworthy

Each finding links to participant, session and quote, and critique is limited to a named checklist.

The person's own data

If the person has connected Figma, Miro, Notion, Lucid, read their data through that connector instead of asking for exports, and say which source each number or fact came from. Without one, work from materials/.

The agents

checker
Checks a Cheatcode draft against its brief and its claims with fresh eyes, pass or fail per criterion.

Where things stay

On your computer
Your files in materials/, every result in outputs/, the work itself. It runs in your AI app, on the plan you already pay for.
With Cheatcode
The steps, the gates and how far each case has come, so a case survives closing the app. See your cases.