Find the work.
Prove the need.
Protect the result.
PersonaQA simulates real customer journeys across client websites, revealing conversion blockers, turning findings into client-ready assessments, and alerting you when a future release makes the experience worse.
Pricing creates interest, but not enough confidence to enquire
Customers reached the service page and understood the offer, then hesitated when they could not see what happens after submitting the form.
Rebuild the enquiry handoff with response-time, process and privacy reassurance beside the form.
Turn customer friction into valuable client work.
PersonaQA gives your team a repeatable way to uncover opportunities, win approval for the work and demonstrate what changed.
Uncover billable work
Find commercially important problems across client sites before they become complaints, lost leads or awkward review meetings.
Replace opinion with evidence
Show the exact journey, page and customer perspective behind every recommendation. Not another subjective list of best practices.
Prove your improvements
Rerun the same journey after your work and present clear before-and-after evidence to clients and stakeholders.
Build a monitoring retainer
Keep important journeys under watch and alert clients when a release introduces new conversion friction.
From a URL and a few minutes of setup, to a customer behaviour audit the agency could sell to clients.
An agency used a PersonaQA Snapshot as the basis of a £750 client audit. The opportunity is not merely saving research time. It is creating a repeatable, evidence-backed service clients understand and value.
Assess. Present. Improve. Monitor.
Start with a one-off client assessment, turn the evidence into an action plan, then protect the customer journey over time.
Assess
Enter a client URL and choose the relevant assessment. Simulated customers explore the real website in parallel.
Present
Share a client-ready Snapshot containing prioritised findings, journey evidence and screenshots.
Improve
Turn the highest-impact findings into scoped work, then rerun the same journey to verify the improvement.
Monitor
Run weekly or after deployment and receive an alert when a confirmed change makes the journey worse.
Reports that justify the retainer.
Every run generates a structured report with scored metrics, page-by-page analysis, and prioritised recommendations. Share directly with clients or build into your own deliverables.
Every report is structured and self-contained. Paste it into a client deck, attach it to a retainer review, or use it to scope the next sprint. No interpretation needed.
Three lenses.
One prioritised picture.
Choose the question your client needs answered. Every Snapshot consolidates multiple specialist perspectives into clear findings and actions.
Customer Behaviour
See where simulated customers hesitate, why they might abandon and what should be fixed first.
- Conversion decisions and reasons
- Trust, clarity and pricing friction
- Priorities ranked by likely impact
Search & AI Credibility
See how clearly search engines and AI systems can understand, trust and reference the client website.
- Search-intent fulfilment
- Expertise and credibility signals
- AI and structured-content readiness
UX & Accessibility
Find usability, mobile and accessibility barriers that make important journeys harder to complete.
- Navigation and interaction friction
- Mobile and cognitive-load issues
- Evidence mapped to standards
Know when a release makes the customer journey worse.
Traditional QA confirms that the product still functions. PersonaQA checks whether customers can still find, understand, trust and complete what matters.
Customer found the consultation CTA directly from the service page.
CTA moved inside the mobile menu and was not discovered.
Evidence first. Human judgement stays in control.
PersonaQA is not a chatbot reviewing a screenshot. Specialist personas navigate the real website, interact with pages and record the evidence behind every conclusion.
Real browser journeys
Personas follow links, search for information, interact with interfaces, encounter blockers and make a decision based on what they experienced.
Findings grounded in observations
Recommendations connect back to pages, steps, screenshots and recorded behaviour rather than generic advice.
Simulation as an evidence-backed hypothesis layer
Use PersonaQA to find likely friction early, prioritise investigation and complement analytics, Clarity and real-user research, not replace them.
Less than one hour of billable time.
A single round of user testing costs £500–£2,000 and takes weeks. PersonaQA Professional gives you 200 tests/month across 20 domains for $299/mo, less than a single user testing session.
Run tests on every client, every week, and still come in under budget.
5 participants
20+ personas, 20 domains
Frequently asked questions
Why not just ask ChatGPT / Claude etc. to “review my website”?
AI chat tools can interpret content but don’t run structured, repeatable tests in a real browser. PersonaQA uses full browser automation to simulate real journeys, capture screenshots, log errors, track performance, and collect structured telemetry. AI can read a website like a menu. PersonaQA can directly interact, test, measure, and compare it over time like a real user would.
But simulated users aren’t real users. Can I trust the results?
Good question, but a better one is “is it valuable?” Most signals you already rely on aren’t perfect either: analytics is aggregated, heatmaps are partial, and A/B tests only show outcomes. You use them because they help you make better decisions, not because they’re exact. Simulation surfaces likely friction points early - where users might get confused, hesitate, or lose trust. Those signals are directionally useful and often catch issues other tools miss. It’s not a replacement for real users, it’s a hypothesis layer before experimentation that helps you ask better questions and validate them properly.
Can I manage multiple client sites from one account?
Yes. Professional plan supports 20 domains, Business supports unlimited. Each domain gets its own dashboard with sentiment tracking over time.
Can I white-label the reports?
Not yet, but you can export data and use the structured findings in your own deliverables. White-label is on the roadmap.
How do I explain AI-simulated users to my clients?
Position it as a “first-pass filter”. It catches the majority of issues before you invest in real user testing. It’s a hypothesis layer that saves time and money, not a replacement for live feedback.
Is there an API for automated triggers?
API access is coming. Currently you can use scheduled automation or trigger runs manually from the web interface.
Can my team members access the same account?
Team features are on the roadmap. Currently each account manages its own domains and can share report links with clients.