As of 13 August 2026, AI can critique your app design.
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 or designer is an alternative, but no price is provided here.
If this goes wrong: you prioritise the wrong interface changes and spend time building or testing improvements that do not solve the users' actual problem.
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 the latest prototype or design file and export screenshots of every screen in the main user journey, including loading, empty, error, confirmation and permission states where they exist.
- Write down the target users, the task they are trying to complete, the product goal, the platform, and any technical, accessibility, brand or delivery constraints.
- Gather relevant user research, analytics, support issues and previous test findings, removing private data that the critique does not need.
- Paste the prompt and the gathered material into ChatGPT, Claude or Gemini, and ask it to critique the complete journey rather than one attractive screen.
- Compare each proposed issue with the stated goal, the supplied research and the current prototype, marking claims that are assumptions or unsupported by the evidence.
- Turn the highest-risk recommendations into small design changes and test them with representative users before committing the changes to development.
Prompt
Critique the app design described below as a UX reviewer. Use only the information I provide and label assumptions clearly. Assess each screen and the main user flow against the stated user goal, accessibility basics, information hierarchy, navigation, wording, error prevention, feedback, trust and likely points of confusion. Separate observations from inferences. Produce: 1) the five most important issues ranked by user impact and confidence, 2) a specific fix for each issue, 3) any important missing state or screen, 4) questions that must be answered before changing the design, and 5) a short test plan for checking the highest-risk assumptions with real users. Do not praise the design unless you can point to evidence. Do not claim that a change will work without suggesting how to test it. Target users: [describe the users] Primary user goal: [describe what users need to accomplish] Business or product goal: [describe the outcome the product needs] Platform and context: [for example, iOS app used on mobile data] Constraints: [include technical, legal, brand, accessibility or delivery constraints] Known research or evidence: [paste relevant findings, metrics or support issues] Design material: [attach screenshots or paste a prototype link and describe the flow]
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 observe how your actual users behave, hesitate or misunderstand the interface without a properly run test.
- AI cannot know your product strategy, technical constraints or organisational politics unless you provide that context.
- AI cannot settle subjective brand and interaction choices when several options meet the same user need.
- AI can miss accessibility barriers that require testing with assistive technology and people with relevant access needs.
- AI does not own the consequences of shipping a poor design, so the prioritisation decision remains yours.
Even on a YES, the friction has a name: context depth, judgement under ambiguity and taste.
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 | 2 |
| Effort delta | 2 |
| Total | 9 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT review my app design?
- Yes. Give it the complete user flow, screenshots or a prototype, the target users, the task and any research, then ask it to separate observations from assumptions. Its review is a first pass, not evidence that real users can complete the task.
- Can AI test my app usability?
- AI can inspect a design and suggest usability risks or a test plan. It cannot replace observing representative people use the app, especially for confusing, inaccessible or high-consequence tasks.
- What should I give AI to critique a UX design?
- Provide every screen in the main journey, including empty, loading and error states, plus the user goal, target users, platform, constraints and relevant research. A single polished screenshot gives it too little context to assess navigation or task completion.
- Is AI good enough to replace a UX designer?
- No. It can absorb a useful first-pass critique and suggest alternatives, but it cannot own product judgement, conduct reliable user research or account for context you have not supplied. Keep a designer or product team responsible for the decision and validate important changes with users.
Nearby answers
- Can AI audit my website UX?YES
- Can AI build a website prototype from a prompt?YES
- Can AI check my website design for accessibility?PARTLY
- Can AI check whether my website meets WCAG requirements?PARTLY
- Can AI choose a colour palette for my website?YES
- Can AI create a clickable prototype for my business idea?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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