01.01Research Strategy and DesignAvailable

Research Brief Interrogation

Extracts what a brief is actually asking: the decision behind it, the assumptions inside it, the scope boundary, and the questions that must be answered first.

Free. Works on Claude, ChatGPT, Gemini or any assistant that accepts a skill file.

What this skill does

The method, encoded.

Most research briefs describe a solution rather than a problem. By the time one reaches a researcher it has usually acquired a method, lost the decision it was meant to serve, and hardened a set of assumptions into apparent facts. The damage is invisible at the time, because the project proceeds politely from the brief's own framing and every later choice inherits an untested assumption.

This skill reads a brief the way you would read a transcript: for what it reveals as well as what it says. It splits every line into fact, assumption and preference. It recovers the decision behind the request, or states plainly that none was found rather than inventing one. It handles the most common case of all, the brief that specifies a method before it specifies a question, with a test that separates a real question from a request for an artefact. It maps the stakeholders and identifies whose question this actually is, draws the scope boundary in three parts including the things silently assumed to be in, and checks six signals for a brief written to confirm a decision already taken.

It ends with the part that determines whether any of it gets used: a short list of blocking questions that must be answered before design starts, kept separate from the nice-to-know ones, each of which carries the default you will proceed on instead.

Best used for

  • Reading a brief that names a method but no question
  • Finding the real decision behind a research request
  • Surfacing the assumptions a brief presents as settled fact
  • Detecting a brief written to confirm a decision already taken
  • Producing a short list of questions a busy stakeholder will actually answer
  • Setting a scope boundary before a proposal is written
  • Diagnosing an inherited project that is going wrong

Typical inputs

What you give it.

The brief exactly as written, in the requester's own words, Provenance: who wrote it, who commissioned it, when, and why, Access to someone who can answer questions, or a statement that access is closed, The email or meeting thread the brief came out of (optional), Previous briefs and previous research from the same requester (optional), Stakeholder list with roles (optional), Budget order of magnitude and decision date (optional)

Typical outputs

What you get back.

Brief Interrogation Note, Assumption register with consequence and verification action per line, Decision statement, or an explicit "decision not established", Method-before-question finding, Stated, inferred and anti success criteria, Stakeholder map with the decision owner identified, Three-part scope boundary including silent inclusions, Constraints expressed as designs already ruled out, Confirmation-seeking assessment, Blocking clarifying questions, separated from non-blocking ones with defaults, One-page restatement for the requester to correct

Method coverage

What the skill works through.

  1. Why briefs describe solutions instead of problems
  2. Splitting the brief into fact, assumption and preference
  3. Finding the decision behind the request
  4. What to do when no decision exists
  5. When the brief names a method but no question
  6. The success criteria nobody writes down
  7. Whose question is this? Mapping the stakeholders
  8. Scope: what is in, what is out, and what is silently assumed in
  9. Spotting a brief written to confirm a decision already taken
  10. Blocking questions versus nice-to-know questions
  11. Restating the brief back to the client

Download

Free skill. One file.

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How to install

Add the skill file and the five kernel protocols to a Claude Project, a ChatGPT Project, a Gemini Gem, or paste them at the top of any assistant conversation. Then give it your real research material, not a description of it.

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Questions

Common questions.

What questions should I ask before starting a research project?

Only the ones where two different answers would produce two different designs. Typically: what decision does this feed and when is it made, what happens if nothing is done, who else has to agree with the answer, what is explicitly out of scope, and what has already been tried. Three to six questions get answered properly. Fifteen get delegated and answered badly.

The brief says "run a survey" but does not say why. What do I do?

Strike the method from the brief and re-read what is left. If a question survives, the method was a preference and can be tested on its merits. If nothing survives, no question was ever written and the brief is a request for an artefact. Then ask what question that method would genuinely answer well, and whether it is the question the decision needs.

How do I tell if a client has already decided and just wants evidence?

Ask what they would do if the study found the opposite. If the answer names a changed action, the question is live. If the decision stands regardless, or the finding simply would not be published, the brief is a ratification exercise. Other signals: the expected finding appears in the brief, the timing sits after the decision meeting, and the language is "demonstrate" and "prove" rather than "understand" and "establish".

What is the difference between what a brief says and what it assumes?

A brief states facts you can check against a source, preferences about how the work should be done, and assumptions about the world presented as settled. Most of a brief is assumptions, and they hide in noun phrases: "why customers are abandoning the portal" assumes abandonment; "the barriers to adoption" assumes barriers. Tag each line, then ask what would change if the assumption were wrong.

Should I write down what is out of scope?

Yes, and clients read it as competence rather than retreat. Write scope in three parts: explicitly in, explicitly out, and the third category that causes most disputes, the things silently assumed to be in. Markets nobody mentioned excluding, the segment everyone pictures when they say "customers", the languages fieldwork will not run in.

How many clarifying questions is too many?

Any number where the important ones stop getting answered. Split them: blocking questions, which stop design starting, and non-blocking ones, which travel with a stated default. Send the blocking list alone, keep it short, and say what each one unlocks.

Can AI interrogate a brief for me?

It can do the mechanical parts well: the line-by-line register split, the assumption consequences, the stakeholder slots, the question list. What it must not do is infer a decision, a decision owner or a deadline that nobody stated, or resolve an ambiguity to make the brief read coherently. Ambiguity is the finding. Whether to challenge a client about a ratification brief is a professional judgement with a relationship attached.

What should I send back to the client after reading the brief?

A one-page restatement in your own words: what we understand you to be deciding, what we understand you to be asking, what is in and out, what we are assuming, and what we still need to know. Write it so they can disagree with it specifically. Disagreement now is worth more than agreement, because the alternative is discovering it at the debrief.

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