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Sample report

How three AI-simulated AU patients pressure-tested this leaflet — before it landed in front of real readers.

A real Lucid Audience Lab evaluation: one Atrial Fibrillation disease awareness leaflet, pressure-tested against three AI-simulated AU patient personas designed around the draft. Scroll to see the full report you'd get back from your own evaluation — verdict, scorecard, consensus, divergence, behavioural analysis, suggested improvements, and every reaction traceable to the persona who had it.

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01 · The verdict

An overall score, the band it lands in, and the personas behind the read.

Each persona comes with location, age and life stage, why we chose them, and what they'd weigh hardest — so every score reads through the right lens.

Overall score, mixed-reception band, and panel mean across five dimensions
Three patient personas: a regional retiree, a working-age sceptic, and a CALD carer

02 · The scorecard

Five dimensions. Per-persona scores, not averaged away.

Relevance, credibility, clarity, actionability, engagement. Per-persona scores plus the panel mean, then each persona's overall verdict weighted through their own priorities — so when one persona breaks from the pack, you see why.

Scorecard across five dimensions plus per-persona verdict table with weighted priorities

03 · Consensus, divergence & blindspots

Where the personas converged. Where they split. Where their backgrounds may have skewed the read.

Strengths and weaknesses in plain language, then the specific points of disagreement — which persona diverged, why, and the implication. Plus blindspots: what each persona systematically over- or under-weighted, so you know how much to act on their input.

Consensus strengths and weaknesses the three personas agreed on
Divergent reactions: where the panel split, why, and what it implies
Persona blindspots flagging where their background may have over- or under-weighted their reaction

04 · Behavioural analysis

Is the leaflet built to actually move the reader?

A quick skim across the behavioural levers that predict whether the reader will change practice — capability, real-world conditions, motivation, picturing themselves doing it, and tonal confidence. Each gets a yes / partial / no.

Five-row behavioural analysis with state glyphs against the levers that move readers to act

05 · Suggested improvements

Specific revisions your team can work from on Monday morning.

Each suggestion: what to change, the panel reaction that prompted it, and a chip telling you whether it's a quick rewrite, a moderate edit, or a structural change. Rank 1 first.

Top-ranked suggested improvements with panel reaction and effort chips

06 · Reactions to your copy

Specific copy that drew a reaction, paired with what each panellist made of it.

These are AI-simulated reactions, not real patient quotes. Each persona is built from published behavioural research — specific enough to sharpen your next creative brief, fast and cheap enough to run before you commission live research.

Quote bank: specific copy that drew a reaction with persona and sentiment filters

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Run this on a draft of your own.

Send us a draft and we'll run your first evaluation — free. You get the full report: scored, divergent, with a quote bank, a PDF, and a shareable link. Multi-asset campaigns — just ask.

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The report above is a real Lucid Audience Lab evaluation of an Atrial Fibrillation patient disease awareness leaflet, run against our AI-simulated AU patient persona panel. AU HCP panels — including GP, oncology, cardiology, and endocrinology — are also available.