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Peer-reviewed86% recall validated against Baymard Institute and Nielsen Norman Group

AI user research for healthcare teams shipping without the recruiting problem.

Validate product concepts, patient messaging, clinician adoption, and pricing models against behaviorally-grounded synthetic personas — without recruiting real clinicians, gating on IRB, or paying $500 per participant. Under 30 minutes, from $8 per study.

7-day trial · 2 free researches · No credit card

86%
Recall against expert-published findings, validated against Baymard Institute and NN/g.
< 30 min
From research design to structured findings — per study.
$8
Effective cost per study on Pro.
500+ teams
Agencies, consultants, and healthtech teams validating before launch.

Why healthcare user research is often functionally impossible before launch.

Clinicians cost $500–$1,500 per participant

A 30-minute interview costs the health system $200–$500 in lost clinical revenue. Systems block or gate participation. So you can't recruit the segment you need, at the pace a launch requires.

IRB review blocks everything patient-facing

Anything touching real clinical workflows or patient data gets held for IRB review. That's 8–12 weeks before recruitment can even start. Longer than most pre-launch decision windows exist.

Patient panels are gatekept by advocacy orgs

Panels for people with specific chronic conditions run $150–$400 per interview. Reaching the right condition-severity segment often requires disease-advocacy partnerships built over quarters — not weeks.

So most healthtech teams ship without research

The recruiting bottleneck is the specific reason. Most healthtech teams skip pre-launch research entirely, ship on gut, and discover which assumptions were wrong after the market grades them.

Four healthcare decisions you can test in under 30 minutes.

Clinician Adoption

Know if clinicians will adopt your product — before you commit engineering.

Test clinician reaction and reasoning against synthetic clinician personas segmented by specialty, seniority, and practice setting. Articos surfaces adoption barriers, workflow objections, and comprehension gaps before you build — using hypothesis-blind interviews that prevent AI agreement bias.

Sample
Clinician Research · Hospitalist
MR
Dr. Marcus Reid
Hospitalist · 11yrs · Mid-size health system
“Fast onboarding means nothing if my residents can't use it mid-shift. I'd need to see 30-day outcome data before I present this to my unit director.”
Evidence-drivenProtocol-firstTime-constrained
Patient Messaging

Test patient engagement messaging before a launch or campaign.

Run patient reaction research against synthetic patient personas segmented by condition context, health literacy, and engagement archetype. Healthcare messaging failures are almost always segment failures — surface which value propositions land and which create anxiety, per segment, before you ship.

Sample
Messaging test · Chronic condition segment
A"Take control of your health journey"
34%
B"Manage your condition on your schedule"
71%
Resonance score · 24 patient personas · 3 health-literacy levels
Buying Committee

Map the real buying committee and their objections — before the pitch.

Healthcare buying committees span clinical, IT, procurement, finance, and compliance. The loudest voice in the pitch isn't always the one who kills the deal. Articos generates a synthetic panel matched to your target segment and runs each role through your pitch independently.

Sample
Committee map · Health system
Clinical ChampionAdoption driver
IT DirectorIntegration blocker
CFOBudget gate
Compliance OfficerHIPAA concern
Role-level objection map · 4 stakeholders interviewed blind
Pricing Models

Test healthcare pricing models before buyers see them in a real pitch.

Healthcare pricing is where good products lose good deals. A per-encounter model reasonable to a specialty clinic gets flagged as budget-unpredictable by a health system. Articos runs your pricing framings against synthetic buyer personas — clinical directors, procurement leads, CFOs — surfacing objections per segment.

Sample
Pricing test · Hospital segment
Per-seatPreferred
Per-encounterBudget-unpredictable
Value-basedCFO concern
Perceived fairness per model · 18 buyer personas

The traditional healthtech recruiting timeline.

This is what user research looks like when it has to go through the real system.

Weeks 1–2
Panel outreach. IRB application drafted. Advocacy org contacts identified.
Weeks 3–5
IRB review in progress. No recruitment can start until approval comes back.
Weeks 4–8
Recruitment for niche condition or specialty segment. $150–$400 per participant. Many no-shows.
Weeks 6–10
Scheduling around clinician availability and system calendars. 30-min slots take weeks to fill.
Weeks 10–12
Interviews conducted. $500–$1,500 per clinician participant in lost clinical revenue reimbursed.
Weeks 13–14
Analysis complete. The launch decision was made in week 6.
Articos: 30 minutes

Why healthcare teams switch to Articos for pre-launch research.

Speed, cost, and access — without the gatekeeping.

Speed & Cost

Under 30 minutes at $8 per study — vs 6–12 weeks at $5,000–$50,000.

Traditional healthcare research firms charge $5,000 to $50,000 per study and take 6 to 12 weeks. Articos gives healthcare teams a way to run structured research inside the actual pre-launch window a decision allows.

Traditional healthcare study$5K–$50K · 6–12 wks
Articos$8 · 30 min
No Recruitment

No clinician outreach, no IRB gates, no patient panel wait. Research that fits your timeline.

Articos replaces the recruiting bottleneck — the specific reason most healthtech teams skip pre-launch research. Synthetic personas grounded in real behavioral science, available in seconds, not weeks.

Clinician outreach requiredNone
IRB review neededNone
Patient panel accessNo wait
Cost per studyFrom $8
Run your first research free
7-day free trial · 2 free researches · No credit card

Peer-reviewed at 86% human accuracy. Built on Big Five, Hofstede, Rogers Diffusion, ACT-R.

Articos is an AI user research platform that helps healthcare teams test how clinicians, patients, and buying committees react to product concepts, messaging, and pricing — before launch — using behavioral-science-grounded synthetic personas. It runs pre-launch reaction and reasoning tests without recruitment, without IRB review, and without HIPAA exposure. It complements — never replaces — real clinical trials, IRB-reviewed patient research, and regulatory-grade real-world evidence.
For reaction, reasoning, and messaging comprehension — yes, at 86% recall against expert-published findings, validated in the peer-reviewed Grounded Simulation paper. Personas are grounded in Big Five personality traits, Hofstede cultural dimensions, and behavioral psychology. They don't represent real patient outcomes or clinical population data, and Articos doesn't claim they do.
Articos is a pre-launch reaction and reasoning testing tool. It doesn't process real patient data, PHI, or clinical records. Personas are behaviorally-grounded synthetic profiles, not real patient information. Articos studies don't require IRB review, don't create HIPAA exposure, and don't need PHI handling infrastructure. On formal certifications: Articos doesn't currently hold SOC 2, HIPAA BAA, or FDA certifications, because the tool is designed to sit outside the regulatory perimeter that requires them. If your team has a specific compliance requirement, let us know — compliance work is on our roadmap.
Real patient interviews measure real behavior, real adherence, and real symptom experience over time. Articos measures how synthetic personas react to and reason about your concept, messaging, or pricing. Real interviews cost $500 to $2,500 per participant and take weeks. Articos runs in 30 minutes at $8. Use Articos for pre-launch reaction testing; use real research for behavioral outcomes, adherence, and clinical validation.
The honest answer: most don't, until after launch, because clinician recruitment costs $500 to $1,500 per participant and takes weeks. Patient recruitment through panels for specific conditions runs $150 to $400 per participant, and reaching condition-specific segments often requires disease-advocacy partnerships. Articos handles the pre-launch reaction and reasoning decisions — clinician adoption barriers, patient messaging, buying committee objections, pricing — without recruitment.
Traditional healthcare market research firms cost $5,000 to $50,000 per study, take 6 to 12 weeks, and require IRB-reviewed protocols for regulated decisions. Alternatives include synthetic research platforms like Articos for pre-launch reaction testing, panel platforms like Wynter for messaging testing, and internal research teams supplemented by AI tools.
Yes. Telehealth and healthtech teams use Articos to test intake flow copy, onboarding messaging, condition-specific value propositions, and app screen language against synthetic patient personas segmented by tech literacy, health literacy, and condition context. Same architecture: reactions per segment, comprehension issues surfaced by patient archetype, and language recommendations before launch. Under 30 minutes at $8 per test.
Direct ChatGPT prompting generates 142 themes per study at 4.5% precision — a 22:1 noise ratio. Articos runs hypothesis-blind interviews against 12 to 50 stance-diverse personas, using six-stage adversarial review to filter agreement bias out of the output. 7× more accurate than direct ChatGPT prompting (p < 0.002 in the Grounded Simulation paper).
$79/mo Starter (10 researches), $199/mo Pro (unlimited researches). 40% off launch pricing currently active on monthly plans. On-demand packs from $29 for 2 researches, lifetime access, no expiry. Free trial with 2 researches, 7 days, no credit card required.
Sign up free with no credit card, pick your first decision to test (product concept, messaging, buying committee, or pricing), define your target segment, and run the study. First report in under 30 minutes.

Stop shipping healthcare decisions your buyers haven't seen.

7-day trial · 2 free researches · No credit card