Screenshot of the Synthetic usability evidence workbench interactive demo
Screenshot of the interactive demo, on sample data

Synthetic usability evidence workbench

Reduce reliance on live participants for early usability checks while keeping evidence and human review.

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For
Product designers and UX researchers running quick usability checks on designs and prototypes
Solves
Live usability tests are slow and costly, so teams ship designs with unverified usability issues.
Delivers
Reviewed usability findings linked to design evidence
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$14,000 for the MVP, $47,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce reliance on live participants for early usability checks while keeping evidence and human review.

  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.
  15. Capture reviewer corrections and named-owner approval before consequential use.
  16. Export a versioned reviewed usability findings report with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Figma files
  • Interactive prototypes
  • Live URLs
  • Persona descriptions or interview transcripts
  • Task definitions
  • Design constraints

AI drafts, people review. Evidence-backed analysis and reporting workspace.

What the customer gets
  • Reviewed usability findings linked to design evidence
02

How it works

The workflow

  1. In
    Start with

    Figma files, interactive prototypes, live URLs, persona descriptions or interview transcripts, task definitions and design constraints

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect Figma files

  4. 3

    Prototypes

  5. 4

    Live URLs and persona descriptions

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Reviewed usability findings linked to design evidence

AI does the heavy lifting, people stay in charge

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.

What your team sees

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.

Accounts and administration

Project ownership, design versions, reviewer comments, approval states, usage allowances, test limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

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.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    6 days

    One buyer segment, one recurring use case; first modules: import Figma designs, prototypes and live URLs; generate target user personas from transcripts or text descriptions. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    2 weeks

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will product designers and UX researchers running quick usability checks on designs and prototypes use it to solve "live usability tests are slow and costly, so teams ship designs with unverified usability issues"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted usability findings per design iteration and reduction in unaddressed issues after review.
  4. Measure, then decide. Track accepted usability findings per design iteration and reduction in unaddressed issues after review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. 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.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed usability findings linked to design evidence. Retain the explicit scope boundary: One design tool integration (Figma), one prototype format and one live URL type; synthetic findings remain advisory and require human review.

What the build depends on. Design upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity usability requires specialist review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One design tool integration (Figma), one prototype format and one live URL type; synthetic findings remain advisory and require human review.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: import Figma designs, prototypes and live URLs; generate target user personas from transcripts or text descriptions. Manual review in the loop.

    $14,000 · about 6 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $14,000 · about 7 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $19,500 · about 2 weeks of creation time

Indicative total, MVP to full product$47,500about 5 weeks of creation time · start with the MVP from $14,000

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$80–$160$110–$220
Full productabout 50 customers$110–$210$880–$1,750$990–$1,960
05

Run it or resell it

Internally

For your own team

Product designers and UX researchers running quick usability checks on designs and prototypes run it inside the business: figma files, interactive prototypes, live URLs, persona descriptions or interview transcripts, task definitions and design constraints in, reviewed usability findings linked to design evidence out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#6f2791
  • accent#87c954
  • surface#ede4f1
  • ink#22201e
Headings
Fraunces
Text
Inter
Voice
Curious, rigorous, user-led
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined design package. Offer a monthly production allowance after repeat demand. Quote complex multi-language or accessibility certification separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed usability findings report. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce reliance on live participants for early usability checks while keeping evidence and human review. Demonstrate a concrete reviewed usability findings report using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Product designers and UX researchers professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample usability findings report from a small authorized design set, with a transparent calculation of accepted usability findings per design iteration and reduction in unaddressed issues after review and no promised savings.

The first 30 days

  1. Week 1: interview five product designers and UX researchers running quick usability checks on designs and prototypes and inspect a recent example of live usability tests being slow and costly, so teams ship designs with unverified usability issues.
  2. Week 2: prepare a consented or synthetic demonstration of the task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure accepted usability findings per design iteration and reduction in unaddressed issues after review, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted usability findings per design iteration and reduction in unaddressed issues after review. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted usability findings per design iteration and reduction in unaddressed issues after review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed usability findings linked to design evidence. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved usability patterns, design constraints and review examples, together with reliable delivery for a narrow product design niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for product designers and UX researchers running quick usability checks on designs and prototypes. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Snap, Uxia, Userology AI and Visual Usability Checker, plus live usability testing services and generic design review tools. Compare this product with the buyer's present method on accepted usability findings per design iteration and reduction in unaddressed issues after review. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Synthetic session generation, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed usability findings linked to design evidence. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

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.

Get this solution built

Built for you by our AI software factory, MVP in about 6 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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