AI app for product development · no coding needed
Synthetic usability evidence workbench
Reduce reliance on live participants for early usability checks while keeping evidence and human review.
Made for: Product designers and UX researchers running quick usability checks on designs and prototypes
What it does for you
The problem
Live usability tests are slow and costly, so teams ship designs with unverified usability issues.
What it gives you
Reviewed usability findings linked to design evidence
What you give it
Figma filesinteractive prototypeslive URLspersona descriptions or interview transcriptstask definitionsdesign constraints
Build your own version of Snap, Uxia and more
One app with what these 4 AI tools do, yours to keep and change: Snap, Uxia, Userology AI, Visual Usability Checker.
Everything these tools do, in one app
- AI-simulated user testing Runs usability tests with AI-generated users instead of live participants.Found in Snap, Uxia, Userology AI
- Fast feedback in minutes Delivers test results and summaries within minutes.Found in Snap, Uxia
- Figma plugin support Lets you run tests directly on Figma designs via a plugin.Found in Snap, Userology AI, Visual Usability Checker
- Test prototypes and live URLs Allows testing of interactive prototypes and live websites.Found in Snap, Userology AI
- AI persona generation Creates target user personas from interview transcripts or text descriptions.Found in Snap
- Think-aloud sessions Simulates users verbalizing their thoughts while completing tasks.Found in Snap
- Transcripts and recordings Provides written transcripts and recorded interactions from test sessions.Found in Snap
- Consolidated reports Combines findings from multiple AI participants into one report.Found in Snap
- Actionable recommendations Offers specific suggestions to improve the design based on test results.Found in Snap, Userology AI
- Instant flow validation Quickly validates user flows with synthetic users.Found in Uxia
- Iterative test cycles Enables running multiple quick tests to support iterative design.Found in Uxia
- End-to-end research workflow Automates recruitment, moderation, and synthesis in one flow.Found in Userology AI
- Screen-aware moderation AI interviewer watches the participant's screen and asks follow-up questions.Found in Userology AI
- Respondent pool and filters Access to a large opt-in panel with demographic and role filters.Found in Userology AI
- Multi-language support Supports testing in many languages.Found in Userology AI
- Accessibility checks Surfaces accessibility and inclusive design issues early.Found in Userology AI
- Attention prediction Predicts where users will look using eye-tracking data.Found in Visual Usability Checker
- Cognitive load detection Highlights areas that may confuse or slow users.Found in Visual Usability Checker
- Attention maps and scores Provides heatmaps and numeric scores to quantify visual clarity.Found in Visual Usability Checker
- Design variation comparison Compares design variations side-by-side to see how changes affect attention.Found in Visual Usability Checker
How it works, step by step
- Import Figma designs, prototypes and live URLs
- Generate target user personas from transcripts or text descriptions
- Run AI-simulated usability tests with synthetic users
- Simulate think-aloud verbalizations during task completion
- Capture transcripts and recordings of synthetic sessions
- Predict attention with heatmaps and numeric clarity scores
- Detect cognitive load and confusion points
- Validate user flows with synthetic participants
- Run multiple quick iterative test cycles
- Compare design variations side by side
- Surface accessibility and inclusive design issues
- Consolidate findings from multiple synthetic participants into one report
- Generate actionable design recommendations
- Support multi-language test sessions
- Capture reviewer corrections and named-owner approval before consequential use
- Export a versioned reviewed usability findings report with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Synthetic usability evidence workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Synthetic usability evidence workbench with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria10 KB
- demo/index.htmlThe working demo on sample data197 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce reliance on live participants for early usability checks while keeping evidence and human review. For product designers and UX researchers running quick usability checks on designs and prototypes, convert Figma files, prototypes, live URLs and persona descriptions into reviewed usability findings linked to design evidence. The benefit is a testable hypothesis, measured through accepted usability findings per design iteration and reduction in unaddressed issues after review; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect Figma files, prototypes, live URLs and persona descriptions, then follow this sequence: 1. Import Figma designs, prototypes and live URLs. 2. Generate target user personas from transcripts or text descriptions. 3. Run AI-simulated usability tests with synthetic users. 4. Simulate think-aloud verbalizations during task completion. 5. Capture transcripts and recordings of synthetic sessions. 6. Predict attention with heatmaps and numeric clarity scores. 7. Detect cognitive load and confusion points. 8. Validate user flows with synthetic participants. 9. Run multiple quick iterative test cycles. 10. Compare design variations side by side. 11. Surface accessibility and inclusive design issues. 12. Consolidate findings from multiple synthetic participants into one report. 13. Generate actionable design recommendations. 14. Support multi-language test sessions. Resolve uncertain cases with qualified reviewers, approve reviewed usability findings linked to design evidence, and measure accepted usability findings per design iteration and reduction in unaddressed issues after review against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Synthetic participants are not real users; findings require human review before design decisions. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve design intent, source attribution, quotation accuracy and usage permissions. Designers approve substantive changes and publication scope. One design tool integration (Figma), one prototype format and one live URL type; synthetic findings remain advisory and require human review. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One design tool integration (Figma), one prototype format and one live URL type; synthetic findings remain advisory and require human review. Implement one approved input format, a bounded representative case set and the first two task modules: import Figma designs, prototypes and live URLs; generate target user personas from transcripts or text descriptions. Support the remaining modules with operator review: run AI-simulated usability tests with synthetic users; simulate think-aloud verbalizations; capture transcripts and recordings; predict attention; detect cognitive load; validate user flows; run iterative cycles; compare design variations; surface accessibility issues; consolidate findings; generate recommendations; support multi-language sessions. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Figma, prototype tools, live website URLs and design file storage. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Study setup and persona selection, Synthetic session runner, Findings and recommendations. Use a thumbnail gallery for studies, a large central canvas for design preview and session playback, and a right-hand panel for findings, severity and comments. Let users compare design variations side by side. Display draft, in review and approved states. Provide a client preview link with comments anchored to the relevant screen. Make the task-specific outcome reviewed usability findings linked to design evidence visible beside its evidence, review state and value baseline.
