What QuantCheck answers
“We heard it in the interviews. Does it hold across a larger patient sample?”
Questions co-designed with patient experts
Every respondent screened on diagnosis
Patients or caregivers, from vetted panels
How it works
15–20minute survey
Multi-marketin local languages
Typical size
150
completes per condition
Sized for the question
Big enough to compare markets or subgroups.
Option A
~2
weeks in field
Directional read
Self-reported diagnosis, screened. For message tests and quick checks.
Option B
3–4
weeks in field
Evidence-grade read
Clinician-confirmed diagnosis. The proof medical, safety and access teams ask for.
What you can ask
A/B
Preference
Which of two service models do patients prefer?
“”
Concept resonance
Does this message land, and with whom?
Priority ranking
Which unmet needs matter most, and least? (MaxDiff)
%
Prevalence
How often do patients really do X?
The perfect companion to Patient Experience Lab
Step 1 · Patient Experience Lab
Qualitative co-design with patient experts
Patient experts co-design the insight and the hypothesis.
You are here
Step 2 · Patient QuantCheck
Quantitative validation, precisely targeted
Test it with around 150 screened respondents per condition.
What clients say
“After a Patient Experience Lab with six patient experts, we needed to know if what we heard held across a wider caregiver group. QuantCheck validated three of our four hypotheses — and reshaped the fourth.”
Head of Patient InsightsGlobal rare-disease company
“A traditional vendor couldn't reach our specific population without diluting the sample. QuantCheck gave us a precisely-matched patient read — and we acted on it.”
Director, Patient EngagementMid-sized biotech
Book a Consultation to scope your QuantCheck.
A short call to frame the question, the target audience, and the level of diagnosis checking that fits.
