Healthcare Research That Compounds
AI-moderated interviews with patients, caregivers, and providers that go 5-7 levels deep. Surface adherence barriers and care journey friction in 48-72 hours.
Tell me about the moment you decided to switch providers.
Trust and transparency are the #1 decision drivers across all segments.
Trusted by teams at
Across 1,520 AI-moderated healthcare interviews with patients, caregivers, and providers, the most consistent finding was that stated dissatisfaction reasons — wait times, cost, inconvenience — masked the deeper trust erosion, care coordination failures, and emotional barriers that actually predict treatment abandonment, provider switching, and non-adherence. User Intuition uncovers these deeper drivers through 30-minute AI-moderated conversations probing 5–7 levels deep into why patients engage, disengage, and make care decisions across conditions, providers, and treatment stages. Each study costs approximately $20 per interview with results in 48–72 hours — replacing the 6–8 week timelines and $50K–$200K costs of traditional healthcare consulting engagements. Results include adherence barrier hierarchies, care journey friction maps, and provider satisfaction analysis with verbatim patient and clinician language. Every conversation feeds a searchable intelligence hub where patient experience, device, and pharma teams can query past findings across conditions, segments, and journey stages — building compounding healthcare intelligence that gets sharper with every study.
Why Does Healthcare Research Break at Decision Speed?
Healthcare organizations face a compounding research crisis: patient and provider insights take 6-8 weeks to surface, cost hundreds of thousands of dollars per study, and evaporate the moment a research firm closes the engagement.
Traditional Healthcare Research Takes 6-8 Weeks
IRB prep, vendor selection, recruitment through clinical sites, in-person facilitation, manual transcription, and consulting report cycles consume months. By the time findings land, your formulary decision is made, your device has launched, and the patient experience initiative has moved to implementation.
Surveys Can't Surface Why Patients Really Behave
A patient survey might show 72% satisfaction but can't tell you why 30% of those patients never filled their second prescription. The emotional drivers behind treatment abandonment, care avoidance, and provider switching live beneath the surface.
HIPAA Compliance Creates Research Paralysis
Healthcare teams avoid qualitative research because they can't guarantee compliance through standard consumer research tools. Unverified vendors, unclear data handling, and missing BAAs make legal teams block studies before they start.
Provider Research Is Chronically Underrepresented
Clinical teams focus patient research but neglect the provider side. Physician satisfaction, nursing workflow friction, and administrator experience rarely get dedicated qualitative attention.
Patient Insights Don't Persist Past Research Engagement
A consulting firm delivers a 90-page patient journey report. Twelve months later, a new VP of Patient Experience joins and the findings are lost in a shared drive. A new study is commissioned. The same patients describe the same friction points.
Research Cost Locks Out Mid-Market Health Systems
Enterprise healthcare qualitative research through traditional consultancies runs $50,000-$200,000 per engagement. Mid-market health systems, regional provider networks, digital health startups, and medical device teams at growth stage can't access research-grade insights.
How Does User Intuition Solve Healthcare Research at Scale?
User Intuition runs HIPAA-compliant AI-moderated interviews with patients, caregivers, and providers — adherence research, care journey mapping, device feedback, and provider satisfaction studies in 48–72 hours at $20 per interview.
Why do patients abandon treatment plans before outcomes improve?
AI-moderated interviews with patients at different adherence stages identify whether the real barrier is side-effect anxiety, cost friction, care coordination complexity, provider trust, or competing health priorities. Emotional laddering uncovers root causes in 72 hours — not 8-week consulting cycles.
What's actually driving provider adoption — or resistance — to new workflows?
30+ minute provider interviews surface workflow friction, EHR integration pain, time constraints, and change-management barriers. Go 5-7 levels deep into what's creating resistance before scaling a rollout.
How do patients really experience the care journey from symptom to treatment?
Map the full patient journey including research, referral friction, scheduling barriers, appointment anxiety, post-visit comprehension, and follow-up adherence. Surface exactly where patient trust is built and where it breaks.
Measurable impact
What matters most to teams after switching to AI-moderated research.
Replace $50,000-$200,000 consulting engagements with per-interview studies from $200. Same research quality. Fraction of the cost. Results in 72 hours instead of 8 weeks.
Healthcare decisions don't pause for 8-week research cycles. Patient experience leaders, device teams, and pharma insights managers get findings before the next committee meeting — not the next quarter.
Surface treatment adherence barriers, care avoidance drivers, and formulary switching triggers that sit beneath the surface of any survey response. The 'why behind the why' emerges at level four.
ISO 27001, GDPR, and HIPAA certification with BAAs available. Legal and compliance teams approve. Research teams run patient and provider interviews without data security compromises.
How Healthcare Teams Use User Intuition
Patient Experience Research
Map the full care journey through 30+ minute interviews that probe scheduling friction, appointment anxiety, provider communication gaps, post-visit comprehension, and follow-up adherence. Surface exactly where patient trust is built and where it breaks.
Treatment Adherence Research
Interview patients at different adherence stages to surface the emotional, logistical, and relational barriers behind non-compliance. Laddering reveals whether the real driver is side-effect anxiety, cost friction, care complexity, or provider trust.
Medical Device Feedback and Adoption Research
Run structured interviews with device users, clinical staff, and procurement decision-makers before and after launch. Surface usability barriers, workflow integration friction, and purchasing objections that usability testing alone misses.
Pharma Concept Testing and Formulary Research
Test drug concepts, messaging frameworks, and formulary positioning with patients and prescribers before commercial launch. Probe treatment decision-making, switching triggers, and what would make a new therapy worth the transition cost.
Provider Satisfaction and Workflow Research
Interview physicians, nurses, and clinical administrators to surface workflow friction, EHR integration pain, burnout drivers, and adoption barriers to new clinical tools. Go 5-7 levels deep into what's actually creating dissatisfaction.
Digital Health and Health Tech Usability
Test patient portals, telehealth platforms, remote monitoring apps, and care coordination tools with real patients and providers before and after launch. Surface where digital experiences create confusion, anxiety, or dropout.
From care question to patient truth
Design The Study
Every study starts with a research plan. Define your question — treatment adherence, patient experience, provider satisfaction, or device adoption — and our AI builds the discussion guide, screener, and timeline tailored to HIPAA-compliant healthcare research.
AI Conducts the Conversations
Each participant completes a 10–20 minute AI-moderated voice interview with full HIPAA compliance and BAA coverage. The AI moderator adapts questions in real time, probing deeper when patients reveal adherence barriers, care journey friction, or provider trust factors.
Get Evidence-Backed Results
After interviews are complete, you receive a full research report with quantified findings, participant verbatims, and strategic recommendations — organized by patient segment, care journey stage, and condition with full compliance documentation.
Create Compounding Intelligence
Every study feeds your searchable Intelligence Hub. Query past research across patient experience studies, adherence analyses, and provider satisfaction research. Surface patterns across conditions and re-mine interviews for new insights — so your patient intelligence compounds over time.
Built for speed and depth
HIPAA Compliance Without Research Paralysis
ISO 27001, GDPR, and HIPAA certified with BAAs available. Legal and compliance teams approve studies before they start — not block them. Healthcare organizations run patient and provider research through a platform built for regulated environments, not retrofitted for them.
Emotional Laddering That Surveys Can't Replicate
30+ minute AI-moderated interviews go 5-7 levels deep into patient motivation, treatment decision-making, and care behavior. Qualtrics captures what patients report. User Intuition surfaces what patients actually feel — including the adherence barriers and care avoidance triggers hiding beneath stated satisfaction.
48-72 Hours vs. 6-8 Weeks
Traditional healthcare qualitative research takes 6-8 weeks from design to delivery. User Intuition delivers searchable findings in 48-72 hours — fast enough to inform a formulary decision, a device launch, or a patient experience initiative before the committee meets, not after.
Institutional Memory for Longitudinal Patient Insights
Intelligence Hub stores every patient and provider interview across every study — searchable by condition, segment, journey stage, and date. A new VP of Patient Experience searches six months of prior interviews in seconds. Research compounds. Knowledge never evaporates at engagement close.
When Healthcare Research Specialists Still Make Sense
For IRB-required clinical trials, longitudinal ethnographic studies with vulnerable populations, or research requiring trauma-informed human facilitation, a specialized clinical research organization may complement User Intuition. For patient experience, provider satisfaction, digital health usability, and pharma concept testing — User Intuition delivers in a fraction of the time at a fraction of the cost.
How Does User Intuition Compare to Patient Surveys, Clinical Research Panels, and Focus Groups for Healthcare Research?
| Dimension | User Intuition | Patient Surveys (Press Ganey) | Clinical Research Panels | Focus Groups |
|---|---|---|---|---|
| Depth of Insight | 30+ min conversations probing 5–7 levels into emotional and psychological barriers behind care decisions | 5–10 min satisfaction surveys; captures scores without root-cause depth on adherence or trust | Structured clinical endpoints; designed for efficacy measurement, not patient motivation | 60–90 min groups but social desirability bias suppresses honest health disclosures |
| Time to Insights | 48–72 hours from study launch to full report | Monthly or quarterly reporting cycles; lagging indicators by design | 6–18 months for study recruitment, data collection, and analysis | 4–8 weeks including specialized healthcare recruitment and IRB coordination |
| Cost per Study | From $200 (20 interviews at $20 each) | $25K–$100K annual platform subscription; limited qualitative depth | $100K–$500K+ per clinical study depending on protocol complexity | $15K–$75K per group series including specialized healthcare recruitment |
| Treatment Adherence Research | Direct patient conversations revealing why patients abandon treatment — side-effect anxiety, cost friction, or trust erosion | Measures reported adherence rates but can't explain the emotional drivers behind non-compliance | Tracks clinical adherence as endpoint data; no insight into patient motivation or barriers | Small sample and group dynamics limit detection of individual adherence patterns |
| Care Journey Mapping | Full patient journey from symptom to follow-up with emotional and logistical friction points identified | Touchpoint satisfaction scores; no journey-level narrative or friction identification | Protocol-specific touchpoints only; not designed for holistic journey mapping | Can explore journey but limited by small sample and facilitation constraints |
| Consumer Language | Full verbatim transcripts — usable directly in patient experience strategy and accreditation evidence | Numeric scores and brief open-text; limited patient voice | Clinical terminology and coded data; no natural patient language | Transcripts available but contaminated by group dynamics |
| Knowledge Retention | Searchable intelligence hub that compounds across every study, condition, and patient segment | Dashboard access during subscription; no cross-study intelligence | Study data siloed per protocol; no cross-condition synthesis | Consulting deliverables filed away; starts from zero each engagement |
| HIPAA Compliance | HIPAA certified with BAAs, encryption, role-based access, and audit trails built in | HIPAA compliant for survey data; limited qualitative research capability | IRB-governed but designed for clinical trials, not operational research | Variable compliance across facilities; no standardized data handling |
"By our fourth patient experience study, the Intelligence Hub surfaced adherence barrier patterns we'd never connected across conditions. A care team designing a diabetes program searched and found matching friction points from oncology and cardiology research. That cross-condition insight shaped the entire intervention design."
VP of Patient Experience — Regional Health System
When Should You Use AI-Moderated Interviews for Healthcare Research — and When Shouldn't You?
AI-moderated interviews excel at structured healthcare research at scale — patient experience mapping, adherence analysis, and device feedback across hundreds of verified participants in 48–72 hours. But they're not the right tool for IRB-required clinical trials, trauma-sensitive populations, or pediatric research requiring guardian facilitation.
AI-Moderated Interviews Are Best For
- Patient experience and care journey friction research
- Treatment adherence barrier and decision-driver interviews
- Provider satisfaction and workflow friction analysis
- Medical device usability and adoption research
- Pharma concept testing and formulary switching research
- Digital health platform and patient portal usability
- Consistent methodology across geographically dispersed patient populations
Consider Other Methods When
- Research with trauma survivors or acutely vulnerable patient populations
- Pediatric research requiring guardian-involved facilitation
- IRB-required clinical trial participant interviews
- Grief, bereavement, or end-of-life care research
- Rare disease populations with fewer than 200 potential participants
- Co-design workshops with clinical care teams requiring real-time synthesis
Most healthcare teams use AI interviews for 80% of patient and provider research and reserve human moderation for vulnerable populations and IRB-required clinical studies.
Run 200+ patient interviews in 48 hours — HIPAA compliant
Whether you're diagnosing treatment adherence barriers, mapping the patient journey, or testing a digital health experience — get research-quality answers before your next committee meeting.
Launch your first HIPAA-compliant patient or provider study in minutes. Define your research question and see results in 72 hours.
See how healthcare teams run 200+ patient and provider interviews in 48 hours. We'll map User Intuition to your next patient experience or clinical research decision.
Walk through a real study — from interview to report. See exactly what the platform delivers before you commit.
HIPAA compliant · BAAs available · Studies from $200 · Results in 48-72 hours
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