Score each anti-pattern by typical user impact
Each checked item is weighted by how commonly it causes real user confusion or mistakes — hidden primary actions and ambiguous destructive-button styling weigh the heaviest.
Free UX anti-pattern detection tool
AntiPattern AI
Answer yes/no against a checklist of known UX anti-patterns — hidden actions, confusing toggles, unnecessary confirmations, misleading interactions — and get a scored, prioritized fix list from your own answers.
- Calculated instantly from your inputs
- No signup or data submission
- A focused next step for MVP planning
Your entries remain in this browser session and are not sent to MVPHub.
Your inputs
Answer the anti-pattern checklist
Enter one anti-pattern check per line as Check | present in your product (yes/no).
Your calculated result
Your result
0/100
Planning score
Recommended next actions
How it works
Aggregate into an overall risk score
The more high-impact anti-patterns present, the lower the score — giving you a single comparable number to track improvement over time.
Rank fixes by impact
Present anti-patterns are ranked so you fix the ones most likely to be actively confusing or costing you users first.
Frequently asked questions
Is this a real AI visual analysis of my UI?
No — this is a structured self-assessment. It scores your own yes/no answers against a documented checklist; it does not inspect screenshots or your live product visually.
What's the single most damaging anti-pattern usually?
Hiding a primary, frequently needed action behind a hover-only or deeply nested menu — it directly reduces discoverability of core functionality, often silently.
Are unnecessary confirmations really an anti-pattern?
Yes — a confirmation dialog on a harmless, reversible action adds friction without any safety benefit; see ConfirmUX and ModalGuard for how to right-size confirmation friction.
How is this different from DarkPattern Guard?
AntiPattern AI detects usability anti-patterns that confuse or slow users unintentionally; DarkPattern Guard specifically reviews for manipulative patterns designed to trick users, often around cancellation or consent.
How we compare
| Capability | MVPHub | An unstructured gut-feel design review | A general-purpose AI assistant |
|---|---|---|---|
| Uses a documented, repeatable checklist | ✓ | × | — |
| Weighs anti-patterns by typical impact | ✓ | × | × |
| Produces a ranked fix list | ✓ | × | — |
| Instant, no design engagement required | ✓ | ✓ | ✓ |
MVPHub applies a consistent, transparent checklist to your own answers. An unstructured review varies reviewer to reviewer; a general AI assistant lacks a fixed, repeatable scoring method.