See what earns clinical confidence, and what breaks it.
Healthcare decisions turn on the exact words HCPs and patients use to qualify a treatment, explain a journey or challenge a message.Enumerate brings HCP and KOL interviews, advisory boards, patient diaries, journey work, message and OTC concept tests, detail aids and open ends into one AI study view, so teams can see what earns confidence and what needs to change.
I wanted to understand the side effects before I started taking it.
Patient · treatment interview
on GreenbookVerified reviews from research teams on GreenbookHealthcare decisions turn on the details people qualify.
An oncologist weighs efficacy against tolerability. A patient describes the point a diagnosis became real. A message earns attention, then loses it on one unsupported claim. Enumerate keeps those turns intact so medical, insights and brand teams can see what creates confidence and what needs to change.
Clinical nuance becomes a broad theme
Mechanisms, treatment goals, tolerability concerns, access barriers and competitive trade‑offs each carry a different implication.
The turning point in a narrative gets missed
Message work depends on the exact moment an HCP leans in, asks for proof or disengages.
Evidence must survive review
Every conclusion needs verbatim support that can be checked by medical, legal and regulatory reviewers.
See an HCP message study come together.
Follow oncologist interviews, narrative reactions and competitive framing to see what earns attention, where belief weakens and which message needs work.
The efficacy narrative earns attention, while the tolerability claim weakens belief when oncologists compare it with standard of care. The clearest pre‑launch edit is to lead with proof, address the standard‑of‑care comparison directly and soften the tolerability claim.
“The efficacy data is genuinely compelling. That earns my attention.”Academic oncologist · Interview
“I’d need to see the tolerability claim hold up in practice.”Community oncologist · Interview
Ask the study what matters
Explore what won, what got in the way, who experienced it differently and what should change next. Enumerate keeps every answer connected to the evidence behind it.
mBC Message Test24 oncologist IDIsEvidence connectedFrom first question to study answer, in one platform.
Use AI probing to collect richer patient and HCP open ends, bring in the conversations and stimuli your team already has, and move from raw study inputs to a stakeholder‑ready read. Enumerate supports coding, analysis, synthesis, cuts, reports and reels while your team controls the interpretation.
Explore each step →Probe
Use AI follow‑ups for diaries and open ends when a patient or HCP mentions a barrier, trade‑off, unmet need, confusing instruction or unsupported message.
- AI asks the useful next question
- Captures richer async responses
- Works across 40+ languages
- Links every answer to context
Give stakeholders the answer and the evidence.
Reports, reels and segment cuts, each tied back to the study.
AI-drafted reports grounded in source evidence and ready for your team’s review.
Short, shareable clips that bring the feedback to life.
Quick cuts by market, segment, study stage or any filter.
Every quote coded and tied back to the source, in 40+ languages.
One platform across the studies your team already runs.
Move between methods without losing the respondent, context, segment or evidence behind the answer.
HCP & KOL interviews
Enumerate reads each oncologist, specialist and KOL transcript end to end and synthesises across the panel, holding therapy mechanisms, competitive sets and trade‑offs at full precision. Every prescribing driver and message reaction is linked back to the moment it was said.
Explore the HCP interviews use case- Verbatim transcript
- Prescribing drivers
- Linked quotes
- Cross‑panel synthesis
HCP & KOL interviews
Enumerate reads each oncologist, specialist and KOL transcript end to end and synthesises across the panel, holding therapy mechanisms, competitive sets and trade‑offs at full precision. Every prescribing driver and message reaction is linked back to the moment it was said.
Explore the HCP interviews use case- Verbatim transcript
- Prescribing drivers
- Linked quotes
- Cross‑panel synthesis
Start with the decision you need to make.
See all research methods
HCP & expert interviews
Understand what shapes expert belief and recommendation.
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Patient journey & experience
Map the moments that shape the patient experience.
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Concept & message testing
Find which ideas land, where they weaken and why.
Explore →See the platform in action
Turn complex healthcare evidence into a clearer recommendation.
Connect HCP, patient, message and journey evidence while preserving the source behind every recommendation.