Diabetes Care & Specialty Pharma Brand Trust & Physician Preference Survey
Map how diabetologists, endocrinologists, and general physicians evaluate, compare, and choose specialty pharma brands across efficacy signals, trust, and formulary fit, so you can sharpen positioning, fix conversion gaps, and benchmark prescriber retention.
CONTEXT & RELEVANCE
Why run this survey now
Most diabetes and specialty pharma brands don't lose physician preference purely on clinical efficacy. They lose it due to trust erosion at the rep level, formulary positioning gaps, competing brand messaging, unresolved dosing concerns, and weak patient outcome narratives, none of which fully show up in prescription audit data or sales force activity reports.
If you are...
- Diabetes portfolio brand lead
- Specialty pharma vs biosimilar competition
- Medical affairs or MSL head
- Commercial or market access lead
- Pharma GTM or field strategy team
You're likely facing...
- Script share erosion: no clear cause
- Trust gap: rep vs clinical evidence
- Originator vs biosimilar perception split
- Formulary tier vs preference misalignment
- Switching triggers at renewal or titration
This will help answer...
- Physician preference drivers beyond efficacy
- Trust drop-off stage by specialty
- Segment split: diabetologist vs GP
- Pricing and co-pay friction points
- Brand switching and retention triggers
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete physician prescribing journey from initial brand exposure to sustained formulary preference.
Brand Awareness & Recall
- Unaided recall by drug class
- First-mention brand frequency
Prescribing Preference Drivers
- Clinical efficacy vs. tolerability trade-offs
- Patient adherence as preference signal
MSL & Detailing Impact
- MSL visit frequency and quality
- Detail aid relevance by specialty
Formulary & Access Friction
- Prior authorization burden by payer tier
- Formulary listing gaps, specialty segment
Pricing & Patient Affordability
- Out-of-pocket cost as prescribing barrier
- Patient assistance program awareness
Digital & Omnichannel Engagement
- HCP portal usage and content preference
- Digital touchpoint frequency by channel
Trust & Brand Credibility
- Clinical evidence quality as trust anchor
- Post-market safety communication gaps
Competitive Positioning
- Head-to-head brand rank by molecule class
- Switch triggers across branded competitors
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 & Specialty Pharma Brand Trust & Physician Preference Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across prescriber 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 diabetes care and specialty pharma space.
GLP-1 & insulin prescribing preference segmentation among diabetologists (India)
OBJECTIVE
WHAT WE DID
DELIVERED
GLP-1 & insulin prescribing preference segmentation among diabetologists (India)
Specialty rep messaging & detailing effectiveness audit among cardiometabolic physicians (India)
GLP-1 & insulin prescribing preference segmentation among diabetologists (India)
OBJECTIVE
A specialty pharma client needed to map how diabetologists and endocrinologists segment patients for GLP-1 receptor agonists versus basal insulin , and which clinical and commercial factors drive first-line prescribing decisions at the individual physician level.
WHAT WE DID
Ran a structured quant survey across 320 diabetologists and endocrinologists in 8 metros and Tier 1 cities, capturing patient profiling criteria, brand shortlists, switching triggers, MR visit frequency, and perceived differentiation across the top 4 molecules in the class.
DELIVERED
A prescriber segmentation framework by prescribing volume and molecule affinity, a brand preference map ranking the top 4 molecules on 9 clinical and commercial attributes, and a switching trigger list ranked by segment and city tier.
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 diabetologists, endocrinologists and general physicians?
How will you measure prescribing preference beyond simple ratings?
Will the survey map the full prescribing journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our brand detailing and formulary pull-through?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.