Telemedicine Adoption & Satisfaction Survey
Measure how patients and healthcare providers evaluate, compare, and choose telemedicine platforms across access, cost, and clinical trust, so you can sharpen acquisition targeting, refine pricing tiers, and strengthen retention positioning.
CONTEXT & RELEVANCE
Why run this survey now
Most telehealth platforms don't lose patients purely on technical reliability. They lose them due to friction at onboarding, mismatched provider availability, unresolved trust gaps, poor follow-up continuity, and unclear reimbursement pathways, none of which fully show up in session completion logs or app store ratings.
If you are...
- Telehealth platform scaling nationally
- Health system adding virtual care
- Digital health product leader
- Payer or benefits strategy head
- Virtual care revenue growth lead
You're likely facing...
- Post-visit drop-off: retention vs acquisition
- In-person vs virtual trust gap
- Reimbursement confusion: payer vs patient
- Specialist fit: chronic vs acute use
- Platform switching after first consult
This will help answer...
- Adoption drivers beyond convenience
- Drop-off stage in care journey
- Chronic vs acute patient segments
- Willingness to pay by visit type
- Retention triggers and switch signals
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete patient journey from first virtual consultation to long-term telehealth retention.
Discovery & Awareness
- First telehealth touchpoint sources
- Condition type driving first consult
Platform Selection
- Provider shortlisting criteria, ranked
- Specialist availability vs. convenience trade-off
Consultation Experience
- Audio, video, and chat quality ratings
- Physician interaction time, perceived adequacy
Journey Friction
- Drop-off points across booking flow
- Identity verification and onboarding barriers
Pricing & WTP
- Out-of-pocket spend vs. insured cost split
- Subscription vs. per-consult preference
Retention & Stickiness
- Repeat consultation frequency by specialty
- Switching triggers and loyalty drivers
Trust & Safety
- Physician credential verification expectations
- Data privacy concern intensity, by age cohort
Competitive Positioning
- Primary platform used, aided recall
- In-person care substitution rate
SAMPLING STRATEGY
Tell us about your ideal sample
Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.
METHODOLOGY
Survey approach
For the Telemedicine Adoption and Satisfaction Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across patient and provider segments.
EXECUTION PROCESS
How we execute
A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.
Define the decision frame
Confirm objectives, target cohorts, geographies, and reporting cuts
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
Deliver and align
COMMERCIAL TERMS
Request a Commercial Proposal
Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.
Select Sample Size
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.
REFERENCE CASELETS
Reference
Real-world examples of survey work in the digital health and telemedicine space.
Remote consultation channel preference & friction mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Remote consultation channel preference & friction mapping (India)
Teleconsultation pricing corridor & willingness-to-pay segmentation (South Asia)
Remote consultation channel preference & friction mapping (India)
OBJECTIVE
A digital health platform needed to map how urban chronic-care patients and first-time teleconsultation users choose between app-based video consults , phone triage lines , and in-clinic visits , and identify the friction points that trigger drop-off before consultation completion.
WHAT WE DID
Ran a structured quant survey across 6 cities with 480 respondents, capturing channel shortlisting criteria , pre-consultation drop-off triggers , wait-time tolerance thresholds , and trust signals by patient segment and condition type.
DELIVERED
A channel preference map by patient segment, a ranked friction list across 5 consultation stages, and a set of trust signal territories that separated first-time converters from repeat users by condition category.
FREQUENTLY ASKED QUESTIONS
Common Questions
Answers to frequently asked questions about this survey mandate.
What decisions will this survey enable?
Who is the buyer vs who are the respondents?
Can we see differences between first-time users, repeat users and lapsed users?
How will you measure platform preference beyond simple ratings?
Will the survey map the full virtual care journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our provider and patient acquisition strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.