Research

Market Research Prompt Workflow

A sequential prompt workflow for market research: scope the question, set evidence rules, map the landscape, hunt counter-evidence, and end with a stress-tested verdict.

Open in Multi-Step Prompt Builder

Overview

Market research collapses in single prompts: 'evaluate this market' returns a confident essay with no evidence trail. Run as a workflow, the same goal becomes auditable — the question gets scoped before any searching, evidence rules get set before claims, every candidate is judged on the same criteria, and the recommendation survives a deliberate counter-evidence hunt before anyone acts on it. This resource loads a full advanced-complexity market evaluation sequence ready to run.

How to use this resource

Build the loaded workflow

Advanced complexity loads the full 10-phase research arc including counter-evidence and red-teaming.
Respect the scoping step

Everything downstream judges against Step 1's criteria — spend real attention validating them.
Don't skip the hunt

The counter-evidence step is what separates research from confirmation. It's also the step single prompts never do.
Ship the brief

The final step packages everything for the decision-maker — under 400 words, gaps stated honestly.

Why This Works

Scoped questions give the research something to be wrong about — that's what makes it checkable
Same-criteria evaluation makes candidate comparisons fair instead of vibes-weighted
A deliberate counter-evidence pass catches the failure modes optimistic research misses

Best for

Build/buy/enter decisions resting on market evidence
Research whose conclusion someone will challenge
Analysts who need their AI research to show its work

Not for

Rewriting a single research prompt — that's the Prompt Rewriter
Comparing two research prompts — that's the Prompt Comparator

Use cases

Evaluating a market before committing build resources
Replacing 'research this and tell me' with an auditable sequence
Producing a decision brief that survives skeptical review

FAQ

How do I actually run this multi-step market research workflow?

You run it as a sequence, not one shot — "paste each step into the same conversation, validating the output before continuing." It moves from Step 1 (scope the research question, set 3–5 evaluation criteria, name what's out of scope) through the counter-evidence hunt to a decision brief. The builder assembles the loaded sequence; you drive each step in your own assistant and check its output before advancing.

What makes this different from just asking AI to 'research this market'?

The counter-evidence step. Step 2 takes the two strongest candidates and "actively searches for evidence against them: known failures, negative reviews, hidden costs, deal-breaker limitations," rated by severity — the step single prompts skip. Everything downstream also judges against Step 1's fixed criteria, so comparisons stay fair, and the arc ends red-teamed. It structures an auditable process; you still validate the evidence.

Customize This Resource

Opens this goal in Multi-Step Prompt Builder. Build the workflow to get every step's prompt — then adjust type, complexity, and step count.

Open in Multi-Step Prompt Builder

Prompt Template

Copy it as-is, or use Open in Multi-Step Prompt Builder to load it pre-filled and customize it with your own context.

MULTI-STEP PROMPT WORKFLOW (excerpt)
Goal: Evaluate the market for an AI-powered invoicing tool

STEP 1 — DEFINE THE RESEARCH QUESTION
Prompt:
Turn this research goal into a precise research question: "Evaluate the market for an AI-powered invoicing tool".
Define: the decision this research will inform, 3–5 evaluation criteria, and what is explicitly out of scope.
Output: one research question, the criteria list, and the out-of-scope list.
Expected output: A scoped research question with evaluation criteria.

STEP 2 — HUNT CONTRADICTING EVIDENCE (later in the sequence)
Prompt:
Take the two strongest candidates from the evaluation matrix and actively search for evidence against them: known failures, negative reviews, hidden costs, deal-breaker limitations.
Output: a counter-evidence list per candidate, each item rated by severity.
Expected output: Counter-evidence that survived a deliberate search.

The full advanced sequence runs: question → sources → landscape → evaluation → counter-evidence → synthesis → gaps → recommendation → red-team → decision brief.

How to run it: paste each step into the same conversation, validating the output before continuing.

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