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As of 13 August 2026, AI can create a UX research plan for your business.
Most people should hand this to a purpose-built tool.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsA human UX researcher remains the alternative; no comparable price is supplied in the available tool data.
If this goes wrong: you recruit the wrong people or answer the wrong question, then make a product decision from weak evidence.
What to actually do
Use a tool built for this
The route this page recommends
Do it yourself
Second choiceA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open a document and write the business, product, target users, decision to be made, known uncertainty, existing evidence and practical constraints.
- Paste those details into the prompt, replacing every bracketed slot, and ask the chatbot to create the plan.
- Answer any essential follow-up questions using information from your product records, customer support material, analytics or conversations with your team.
- Compare the proposed objectives and research questions with the decision you actually need to make, removing questions that would not change an action.
- Check the method, participant criteria, consent wording, privacy steps and accessibility steps against your recruitment process and current data-handling arrangements.
- Ask a colleague who understands the product or users to challenge the assumptions, then revise the plan and agree who will recruit, run sessions, analyse evidence and approve the final recommendations.
Prompt
Create a practical UX research plan for my business using the information below. Business and product: [describe the business, product or service] Decision this research must support: [state the decision] Research problem or uncertainty: [state what you do not know] Target users: [describe who they are, including relevant UK context] What users currently do: [describe the current behaviour or alternative] Existing evidence: [paste analytics findings, support themes, interview notes or other evidence] Research constraints: [time, budget, access to participants, team capacity and tools] Privacy or accessibility requirements: [state any requirements] Produce: 1. A short research brief and the decision it will inform. 2. Three to five prioritised research objectives. 3. Neutral research questions linked to each objective. Do not write leading questions. 4. The recommended method or combination of methods, with a reason for each choice and a note on what it cannot answer. 5. A participant profile, inclusion criteria, exclusion criteria and a realistic recruitment approach. 6. A sample-size rationale without inventing statistical confidence or certainty. 7. A discussion guide or test script with timings, opening consent wording, tasks and follow-up questions. 8. A plan for recording, organising and analysing the evidence. 9. A synthesis framework showing how observations become findings and findings become recommendations. 10. Risks, biases, ethical and privacy considerations, accessibility considerations and mitigation steps. 11. A timeline, responsibilities, deliverables and definition of done. Separate facts taken from my input from your assumptions. Mark every assumption clearly. If information is missing, ask up to five essential questions first. Do not invent users, evidence, recruitment numbers, research findings or business constraints. Keep the plan proportionate to the decision and suitable for a UK business. End with a short checklist of decisions I must approve before research starts.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
Hand it to a person
The distant thirdA person who owns the outcome does this end to end, worth it when the failure is dear.
What it gets wrong
- AI cannot decide which business uncertainty matters most when your stakeholders want different answers.
- AI cannot know whether your proposed participants reflect the people who will actually use the product.
- AI cannot replace observation, interviewing or moderated testing with real participants.
- AI can recommend a method that sounds rigorous but is poorly matched to the decision, so the method needs a knowledgeable challenge.
- AI cannot take responsibility for consent, privacy, accessibility or the product decision made from the research.
Even on a YES, the friction has a name: judgement under ambiguity, context depth and stakes of error.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT make a UX research plan?
- Yes. It can turn your product context, decision and constraints into a usable plan with objectives, research questions, methods, recruitment criteria, scripts and analysis steps. You still need to correct its assumptions and approve whether the method can answer your actual question.
- What information do I need to give AI for a UX research plan?
- Give it the decision the research must support, what you currently do not know, who the users are, what evidence you already have and the limits on time, access and budget. Also include privacy, consent and accessibility requirements so the plan is not built around unrealistic or unsuitable research.
- Can AI choose the right UX research method?
- It can compare methods and explain what each one can and cannot answer. It cannot reliably resolve an ambiguous business question or know whether your proposed participants and setting will produce useful evidence without your context and a knowledgeable check.
- Can AI run UX research for my business?
- It can help write a discussion guide, organise notes and structure a synthesis. It cannot recruit representative participants, build trust in a sensitive conversation or take responsibility for the quality of the evidence and the decision that follows.
Nearby answers
- Can AI design a better sign-up flow for my service?PARTLY
- Can AI map a customer journey for my UK business?YES
- Can AI turn my prototype into HTML and CSS?YES
- Can AI analyse usability test recordings?YES
- Can AI choose a colour palette for my website?YES
- Can AI create a prototype from a website screenshot?YES
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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