Now accepting enterprise partners

Stop testing code.
Start testing human friction.

Replace $20,000 human focus groups with continuous Synthetic Usability Studies. Deploy synthetic patients with real demographic, cognitive, and motor constraints to audit your healthcare app — and catch human friction before it hits production.

Real-time audit streaming — watch each persona's internal monologue and UI interactions unfold step-by-step as they navigate your app.
UX Audit Report — acme-health.com
👩‍⚕️

Martha, 68

Medicare enrollee · Dual-eligible · Low tech literacy

Friction Score 78/100

Top Blockers

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Insurance card upload failed — file input not accessible, Martha couldn't attach her Medicare card.

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Session timeout during intake — form expired after 60s, erasing 4 completed fields.

Plan terminology confusion — Martha couldn't distinguish "Part A" vs "Part B" in the dropdown.

Built for Healthcare & Enterprise

Enterprise Security

Layered safeguards designed for sensitive environments.

PHI Redaction Proxy

Patient data scrubbed before any LLM processing.

Deterministic Accessibility Scoring

Reproducible WCAG metrics grounded by human-like behavioral reasoning.

How It Works

From URL to continuous UX intelligence.

Four steps. No SDK. No code changes. Continuous, actionable UX intelligence.

1

Select Your Audience

Choose from our healthcare persona templates, or use the Custom Persona Builder with built-in cognitive condition presets like post-op fog, tech-anxiety, and terminology confusion — or define your own.

2

Run the Study

Enter your staging URL and a goal. Personas navigate the site visually, handling complex real-world mechanics like multi-tab navigation, PDF-aware tab handling, and complex onboarding flows.

3

Watch the Live Audit

Don't just wait for a PDF. Watch the audit unfold via Real-Time Telemetry. Stream the persona's internal monologue step-by-step as they experience confusion or struggle with your UI.

4

Track Regressions

Establish baselines and track UX friction across releases. Generate Diff Reports to see exactly how your latest code changes impacted accessibility and cognitive load for specific demographics.

Under the Hood

Three layers. One synthetic human.

Each AI persona combines cognitive, sensory, and motor constraints to behave like a real user — not a bot clicking buttons.

01

Cognitive Layer

AI vision models reason as the persona. We inject cognitive conditions that cause the persona to react to unexpected events — like confusion when an unexpected browser tab opens, or anxiety when confronted with unfamiliar medical terminology — just as a real patient would.

02

Sensory Layer

Deterministic WCAG accessibility checks are applied per persona. Martha's low vision means contrast below 4.5:1 is a blocker. Kevin's post-op cognitive fog slows reading comprehension and amplifies confusion on dense medical forms.

03

Motor Layer

We enforce Deterministic Dwell Times and tap-target size validation. A power user moves at 300ms between actions, while a low-tech senior is physically throttled to 2500ms, accurately modeling demographic task completion times.

The Synthetic Cohort

Meet your new focus group.

Healthcare-specific persona templates that model real patient demographics and clinical contexts — available 24/7, no recruiting, no scheduling. Here are four of our most popular templates.

👩‍⚕️

Martha

68 years old

Medicare enrollee, dual-eligible. Needs to upload insurance cards but struggles with plan terminology and file inputs.

Low Tech Literacy Medicare Enrollee Dual-Eligible
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Kevin

55 years old

Post-discharge patient with cognitive fog from pain medication. Scheduling a follow-up appointment on mobile.

Post-Discharge Cognitive Fog Mobile User
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Sarah

45 years old

Caregiver proxy managing her mother's patient portal. Navigating security questions and permission friction on someone else's behalf.

Caregiver Proxy Security Friction
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Marcus

42 years old

Diabetic power user who logs in weekly for refills. Easily frustrated by redundant confirmations and slow navigation.

Chronic Condition Power User Weekly Refills

Healthcare-specific starting templates.

Enterprise plans include the Custom Persona Builder — create personas for non-English speaking caregivers, patients with specific chronic conditions, or any demographic your product serves. Each with their own Asset Backpack and clinical context.

The Asset Backpack

Your synthetic patients arrive prepared.

Unlike generic testers that just click buttons, PersonifyUX personas carry everything needed to complete real healthcare onboarding flows.

Synthetic Documents

High-fidelity fake Medicare cards, secondary insurance PDFs, and pharmacy preference screenshots. Every asset needed to complete document collection flows.

Compliance-Safe Test Data

Synthetic SSNs, NPI numbers, and personal details that are mathematically invalid — designed to never pass real-world verification. Test records are always distinguishable from production data.

Multi-Step Flow Navigation

Personas remember what they've seen and done throughout a session, enabling them to navigate 8-12 screen onboarding flows without losing context — just like a real user.

Trust & Validation

Designed for Verification

PersonifyUX is designed to prove itself. Teams can cross-reference synthetic friction findings against their existing analytics and support data to build confidence over time.

Cross-Reference Findings

Compare synthetic friction points against your analytics, support tickets, and user research data.

Build a Trust Record

Each confirmed finding creates a verified record that strengthens confidence in synthetic results over time.

Improve Over Time

Confidence in synthetic testing grows with every validated finding — trust that compounds with every sprint.

Competitive Positioning

Different from everything else.

PersonifyUX occupies a unique space in the testing ecosystem — purpose-built for healthcare UX.

Axe-Core / Lighthouse

Accessibility Compliance

Methodology: Programmatic DOM Scan

They find bugs; we show how those bugs stop a patient from finishing a flow.

QA Wolf / Mabl

Functional QA

Methodology: DOM-level Automation

They test if the code works; we test if the user can work the code.

UserTesting / Maze

UX Research

Methodology: Human Focus Groups

Weeks of recruiting and $20K per study. We deliver the same insight in 10 minutes.

PersonifyUX

UX Intelligence

Methodology: Synthetic Personas

Behavioral persona simulation + PHI redaction. No one else does both.

Platform Features

Everything you need to ship accessible products.

Transparent Friction Scoring

0–100 Friction Score based on a deterministic rubric: accessibility violation severity weighted by each persona's constraints, extra steps beyond the ideal path, and task abandonment. Reproducible and algorithmically calculated — not generated by AI.

WCAG AA/AAA Compliance

Automated accessibility audits via axe-core combined with persona-specific sensory constraints for real-world relevance.

Premium PDF Reports

Branded, shareable reports with behavioral friction analysis, top blockers, and engineering-ready recommendations.

PHI Redaction Engine

Patient data is automatically scrubbed from screenshots and logs before any AI processing. Redaction covers Social Security numbers, Medicare IDs, medical record numbers, phone numbers, dates of birth, and email addresses.

10-Minute Audits

Submit a URL, pick your personas, get a full UX audit report. No setup, no SDK, no code changes required.

Regression Tracking

Run audits on every deploy. Compare friction scores over time and catch UX regressions before your users do.

Limited Early Access

Request Enterprise Access

PersonifyUX is currently rolling out to select healthcare enterprise partners. Request early access and we'll be in touch. Pilot programs available for healthcare teams.