For Growth & CRO Teams

Your analytics show
the drop. Investigate what gets in the way.

Assess the journey with AI personas and recorded browser evidence. Turn potential barriers into focused hypotheses, validate them with real customers and keep checking after the next release.

No traffic required Works before launch Multiple customer perspectives Evidence to inspect
Trial journey · Mobile
Illustrative example
Customer journeyGoal: start a free trial
01Landing page
02Pricing
03Start free
04Question raised
Needs reviewMobile test

A simulated buyer asks what happens after “Start free”.

The CTA is easy to find, but the persona is unsure about setup. Inspect the next step and existing guidance before treating that concern as missing information.

Recorded action Simulated interpretation Screenshot to review
Evidence-backed hypothesis

If the next step is still unclear after review, test a clearer explanation beside the CTA. Measure qualified trial starts to judge the result.

Illustrative finding, not a verified customer resultReview → test → measure

The missing layer in CRO

See what happened. Investigate where and why.

Your existing stack measures behaviour after traffic arrives. PersonaQA adds a structured customer perspective before and between experiments.

Analytics

What happened?

Conversion rates, exits, funnel movement and campaign performance show you where outcomes changed.

Session recordings

Where did it happen?

Recordings and heatmaps reveal clicks, scrolling and visible struggle. but interpretation still takes time.

PersonaQA

Why might it be happening?

Simulated customers explain what they needed, what they misunderstood and why their confidence or decision changed.

Together, they create a stronger loop: observe → explain → hypothesise → validate.

Built for real CRO constraints

Find useful answers before perfect data exists.

PersonaQA is most valuable in the awkward gaps where traditional research or experimentation cannot yet give you an answer.

01

Not enough traffic to A/B test

Use simulated journeys to find and strengthen hypotheses before committing limited traffic to an experiment.

02

A page underperforms, but nobody knows why

Go beyond the funnel number and inspect the missing information, trust gap or interaction friction behind the decision.

03

Paid traffic is about to hit an untested page

Stress-test messaging, mobile usability and conversion journeys before campaign spend begins.

04

A redesign changed performance

Compare the same customer journey before and after the release to isolate meaningful changes in the experience.

05

Stakeholders want evidence, not instinct

Support recommendations with journey steps, screenshots, cross-persona agreement and customer reasoning.

06

One page serves several audiences

See where first-time visitors, cautious buyers, mobile users and specialist audiences interpret the same page differently.

The CRO workflow

Assess. Improve. Protect.

Use simulation to shape the investigation, customer evidence to judge the result and repeat checks to keep the journey under review.

1

Assess

Define the audience and goal, then investigate the landing page or journey. Inspect recorded steps and group related observations into questions worth testing.

2

Improve

Prioritise relevant findings, verify the issue and choose a fix or experiment. Use analytics, research and real outcomes to assess its effect.

3

Protect

Repeat important checks after releases and campaign updates. Keep conditions comparable and investigate changed results before calling them regressions.

Use it when the answer matters

Before traffic. Between tests. After release.

PersonaQA gives growth teams a fast, repeatable challenge layer throughout the optimisation cycle. not another dashboard to check without a decision to make.

Before launch

Campaign readiness

Test whether the proposition, proof and CTA make sense before paid traffic arrives.

During research

Hypothesis generation

Surface plausible causes of hesitation worth investigating with real-user evidence.

Before build

Concept challenge

Compare customer interpretations before committing design and development time.

After a change

Improvement verification

Rerun the same journey and inspect the before-and-after evidence.

When performance dips

Root-cause investigation

Identify what changed in the experience, not merely which metric moved.

Continuously

Journey monitoring

Catch newly introduced blockers before they quietly consume traffic.

Website assessments

Choose the lens your question needs.

Each Snapshot combines several specialist perspectives into one prioritised, shareable assessment.

Customer Behaviour

Understand hesitation, abandonment and the customer reasoning behind conversion decisions.

  • Conversion barriers and decisions
  • Trust, clarity, pricing and CTA friction
  • Evidence-backed priorities

Search & AI Credibility

Understand whether search and AI systems can confidently interpret and trust the website.

  • Intent fulfilment and credibility
  • Expertise and evidence signals
  • AI-readiness opportunities

UX & Accessibility

Find interface, mobile and accessibility barriers making important journeys harder.

  • Navigation and form friction
  • Mobile and cognitive-load issues
  • Observed evidence mapped to standards

Conversion regression monitoring

Protect the journey after the experiment ends.

A winning change can be weakened by the next release. Repeat priority journeys under comparable conditions, inspect the evidence and check whether a suspected regression can be reproduced.

A CTA disappears on mobile.
Pricing becomes harder to understand.
A cookie banner or form blocks progress.
Important reassurance vanishes.
The customer’s conversion decision changes.
Illustrative check · Mobile trial Change to investigate
Baseline Journey completed

The test reached the trial form without a payment requirement.

After deployment Payment step encountered

New account step requested payment details without prior warning.

Next check: reproduce the new step and inspect the trial terms. This example shows an investigation, not measured customer abandonment.

Works with your evidence stack

Simulation finds the hypothesis.
Real behaviour helps validate it.

Connect PersonaQA findings with analytics, search performance and observed session behaviour to build a more complete case for what to investigate next.

PersonaQA Reasoning and journey evidence
GA4 Traffic and outcome data
Clarity Observed behaviour signals
Search Console Queries and visibility
Experiments Causal validation
Your team Context and judgement
Pricing

Make journey checks part of every campaign.

Assess a landing page before launch, investigate questions between experiments and rerun the journey after changes. Keep a record of what you checked alongside campaign performance.

Website Essentials (Starter) starts at $149/month. Evaluate it against the time your team spends investigating and verifying findings. A simulation score does not establish savings or conversion uplift.

View Full Pricing
Website Essentials
$149/month · Starter
50 tests
Up to 5 reports
Single-user account
Professional Assurance
$499/month · Professional
200 tests
Up to 10 reports
Custom AI persona builder
Unlimited seats/team members
Business
$1,495/month
Everything in Professional
Import your own persona profiles

A report uses one slot and a test for each persona run. Scheduled checks and reruns also use tests. Team access follows the owner's plan, with unlimited members from Professional. View plan allowances.

Frequently asked questions

Why not just ask ChatGPT / Claude etc. to “review my website”?

AI assistants with browser tools can explore websites. PersonaQA provides a dedicated process for defined personas, recorded journeys, evidence review and repeat assessments. Judge it by the usefulness of the findings and the time needed to verify them.

How should I validate a simulated finding?

Inspect the recorded page, action, outcome and screenshot. Check whether later steps resolved the concern and reproduce significant issues yourself. Treat the persona's explanation as an interpretation and the suggested fix as something to assess. Use real customer research, analytics or experiments to determine relevance and impact; persona agreement alone does not prove either.

Do I need to know how to code?

No. PersonaQA is entirely web-based. Paste a URL, choose a persona, click run. No scripts, extensions, or technical setup.

Can I test pages that aren’t live yet?

Yes. Any URL accessible in a browser works. staging environments, preview deployments, password-free dev URLs.

Why keep testing after the first assessment?

Releases, campaign changes and content updates can alter a previously working journey. Repeat the same checks at a useful cadence, investigate changed evidence and follow up on fixes. Scheduled runs and repeat assessments consume your plan allowance, so choose the journeys and frequency deliberately.

Can I compare two versions of the same page?

Yes. Run the same persona, goal and device on both URLs, then compare recorded actions and feedback. The comparison can suggest what to investigate, but score differences are not measured conversion uplift.

What if I disagree with the AI’s feedback?

The feedback is directional, not absolute. If 3 out of 5 personas flag the same issue, it’s worth investigating. Combine with your own expertise and real data.

Find your next strong conversion hypothesis.

Run a Customer Behaviour Snapshot on any public landing page and see what simulated customers understand, question and decide.