Diabetes Care Device Brand Trust & Patient Usability Perception Survey
Understand how diabetes patients evaluate device reliability, compare brands on usability, and choose between CGM, glucometer, and insulin delivery options, so you can sharpen positioning, fix conversion gaps, and benchmark retention triggers.
CONTEXT & RELEVANCE
Why run this survey now
Most diabetes care device brands don't lose patients purely on clinical performance. They lose them due to device discomfort, opaque dosing feedback, poor onboarding by HCPs, low trust in brand after first failure, and confusing device switching costs, none of which fully show up in prescription data or post-market surveillance reports.
If you are...
- CGM or insulin delivery brand
- Device portfolio head, diabetes segment
- Competing against established sensor brands
- Commercial lead, chronic care devices
- Strategy head, patient retention programs
You're likely facing...
- Brand trust gap: first-time vs repeat users
- Device switch triggers at refill stage
- HCP recommendation vs patient preference mismatch
- Usability drop-off: onboarding to daily adherence
- Premium device pricing vs perceived value tension
This will help answer...
- Trust drivers beyond clinical accuracy
- Usability drop-off stage and trigger
- Segment preference: CGM vs traditional monitoring
- Acceptable price-to-comfort trade-off
- Brand switch and loyalty renewal triggers
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete patient journey from device awareness to long-term adherence.
Device Discovery
- First device category encountered
- HCP referral vs. self-research
Brand Trust
- Trust signals at point of selection
- Clinical credibility vs. peer endorsement
Usability & Design
- Physical handling ease, display clarity
- Setup complexity at first use
Accuracy Perception
- Confidence in reading reliability
- Discrepancy incidents, frequency
Pricing & Switching
- Consumable cost tolerance thresholds
- Price-driven brand switch triggers
Digital Integration
- App connectivity, data sync reliability
- HCP data-sharing adoption barriers
Support & Adherence
- Post-purchase patient support quality
- Adherence drop-off timing, reasons
Competitive Positioning
- Shortlisted brands at purchase decision
- Switching intent, next device consideration
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 Diabetes Care Device Brand Trust and Patient Usability Perception Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.
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 diabetes care device space.
CGM adoption barriers & segment friction mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
CGM adoption barriers & segment friction mapping (India)
Blood glucose monitor brand trust & HCP recommendation dynamics (South Asia)
CGM adoption barriers & segment friction mapping (India)
OBJECTIVE
A specialty medical device distributor needed to isolate why Type 2 insulin-dependent patients stalled at first prescription, and how device complexity perception and caregiver influence shaped adoption decisions across metro and Tier 2 markets.
WHAT WE DID
Ran a structured quant survey across 480 patients in 6 cities, capturing device shortlisting criteria, prescription-to-purchase drop-off stages, caregiver involvement levels, and perceived ease-of-use scores by device category and patient age band.
DELIVERED
A segment friction map by patient archetype, a ranked barrier list at each adoption stage, and a set of message territories calibrated to reduce perceived complexity for first-time device users.
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 insulin-dependent patients, non-insulin-dependent patients and newly diagnosed patients?
How will you measure device brand trust beyond simple ratings?
Will the survey map the full diabetes device adoption journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our HCP engagement and patient acquisition strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.