Synthetic users that
find your UX friction
AI-powered personas navigate your app like real users. They find what's confusing, broken, or frustrating — and hand you copy-pasteable fixes for your AI agent.
THE PROBLEM
You're shipping blind.
Real user testing is slow, expensive, and biased. You can't run 100 users through your checkout flow before every deploy. So you guess, ship, and hope.
THE SOLUTION
Flock changes that.
Spin up 50 synthetic users — each with distinct backgrounds, patience levels, and tech skills. They navigate your app, feel friction, and tell you exactly what's wrong and how to fix it.
Not a bot. Not a crawler. A synthetic UX tester that experiences your product the way humans do.
THREE STEPS
How it works
Configure
Paste your URL, pick your personas, and go. Set a goal like "complete checkout" and Flock knows what success looks like.
flock.run({
url: "https://app.com/checkout",
personas: ["novice", "executive"],
goal: "complete purchase"
}); Observe
AI personas navigate your app like real users. They narrate frustration, confusion, and delight — in their own voice, with annotated screenshots as evidence.
// Novice User (patience: low):
"I couldn't figure out how to
change my shipping address. The
edit button was hidden behind a
tiny icon I didn't recognize."
// Severity: Major · Confidence: 95% Fix
Get findings ranked by severity, each with the persona's own words and a copy-pasteable prompt for your AI coding agent. One click from friction to fix.
// Paste into Cursor / Copilot:
"The edit-address button on
/checkout uses an ambiguous icon
with no label. Replace the icon
button with a text link 'Edit
address' next to the address
block. Add aria-label." SEE IT IN ACTION
Not logs. Perspectives.
Every finding is a quote from a synthetic user who experienced your product. Here's what Flock found on a checkout flow in under 3 minutes.
Your checkout flow lost 3 of 4 personas at the shipping step
The Novice User and Security Admin both abandoned at the shipping options due to unclear labeling and missing trust signals. The Busy Executive completed checkout but lost form data when switching tabs. Only the Accessibility Auditor persisted through all steps, though they flagged critical keyboard navigation barriers.
"I couldn't figure out how to change my shipping address. The edit button was hidden behind a tiny icon I didn't recognize."
"The payment form reloaded when I switched tabs to copy my card number. I lost everything I typed."
"There's no indication that the payment form uses HTTPS encryption. I see no lock icon or security badge near the card input."
Results from a synthetic test of a checkout flow · 4 personas · 2m 34s · ~$0.14
CAPABILITIES
Everything you need
Synthetic UX testing that gives you signal, not noise. Every feature built around one idea: findings you can act on immediately.
Agent Voice
Every finding is a quote from a synthetic user who experienced your product. Not a log entry — a perspective.
Diverse Personas
Novice users, busy executives, accessibility auditors — each with distinct patience, tech skill, and priorities.
Divergence Insights
See exactly where your novice user gave up but your power user pushed through — and why.
Visual Evidence
Annotated screenshots showing exactly where friction occurred, paired with the persona's narration.
Fix Prompts for AI
Each finding includes a self-contained prompt you can paste into Cursor, Copilot, or Claude. One copy-paste from finding to fix.
Severity Triage
Findings ranked from Critical to Cosmetic. Bugs, UX issues, and accessibility problems categorized separately.
Goal-Directed Testing
Define what success looks like. Flock doesn't just browse — it tries to accomplish your user's goal and tells you where it got stuck.
Before/After Comparison
Run against staging, auto-compare against production. See what's new, what's fixed, and which personas are happier.
WHO IT'S FOR
Built for builders
Founders & PMs
Ship faster with confidence. Run synthetic users before every launch. Know where friction lives before your real users find it.
Frontend Developers
Find friction before your users do. Get fixes as AI prompts you can paste and go. Every finding maps to a component and a fix.
Design Teams
See how diverse user types react to your flows. Divergence data reveals blind spots that homogeneous testing misses.
QA Engineers
Automate UX regression checks in CI. Compare staging vs production on every deploy. Catch what functional tests can't.
MEET THE PERSONAS
Diverse by design
Each persona has distinct patience, risk tolerance, and goals. The same flow looks different through different eyes — that's where the insight lives.
Sam Rivera
Gets overwhelmed by dense layouts and jargon. Hesitates on ambiguous buttons or unclear labels.
Alex Chen
Skims quickly and reacts to visual contradictions. Near-zero tolerance for queues or disabled actions.
Riley Morgan
Notices inconsistencies and treats them as trust breakers. Pauses on mismatched labels that imply risk.
Jordan Wu
Knows what they want. Impatient with hand-holding. Explores aggressively, tries shortcuts.
Morgan Taylor
Looking for reasons to say no. Scrutinizes pricing. Compares to alternatives mentally.
Jordan Park
Navigates keyboard-only. Flags contrast issues, focus traps, missing ARIA labels, and broken heading hierarchy.
Get early access to Flock
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