Quantitative Market Research for Medical Devices
Specialist quantitative market research for medical devices, helping medtech companies quantify decision drivers, optimise pricing, and validate market strategies.
Measuring What Drives Decisions at Scale
Quantitative market research for medical devices plays a critical role in validating hypotheses and quantifying what drives decision-making across complex healthcare environments. At IDR Medical, we go beyond descriptive data to identify the relative importance of different factors, model trade-offs, and predict behaviour—providing evidence that directly informs pricing, product design, positioning, and commercial strategy.
Our healthcare quantitative market research is designed to generate robust insight that supports confident decision-making across global medtech markets.
Our Quantitative Research Methodologies
We apply a range of quantitative market research methodologies used in medical device and healthcare markets, including conjoint analysis, MaxDiff, Simalto, pricing research, and segmentation, to generate robust, decision-ready insight.
Conjoint Analysis in Medical Device Market Research
Conjoint analysis is a core technique in quantitative market research for medical devices, used to understand how stakeholders make trade-offs between product features, pricing, and service elements. It simulates real-world decision-making by asking respondents to choose between different product configurations.
Key Activities
- Survey design incorporating realistic product profiles
- Experimental design to test multiple attributes and levels
- Statistical modelling (e.g. CBC, ACBC)
Outcomes
- Relative importance of product features
- Willingness to pay and price sensitivity
- Optimised product configurations and pricing strategies
MaxDiff (Best-Worst Scaling) for Healthcare Market Research
MaxDiff is widely used in medical device quantitative market research to prioritise features, messages, or value drivers. Respondents select the most and least important items from sets, producing a clear and statistically robust ranking.
Key Activities
- Structured prioritisation exercises
- Balanced experimental design
- Statistical scaling of preferences
Outcomes
- Robust ranking of features or messages
- Clear differentiation between high and low priorities
- Input for positioning and value proposition development
Gabor-Granger Analysis for Healthcare Market Research
Gabor-Granger is widely used in medical device pricing research to assess willingness-to-pay and price sensitivity. Respondents evaluate a product concept at different price points, indicating whether they would purchase at each level—providing a clear view of how demand changes as price increases.
Key Activities
- Structured price testing across multiple price points
- Measurement of purchase intent
- Price sensitivity and demand curves
Outcomes
- Identification of maximum acceptable price
- Clear understanding of price sensitivity and resistance points
- Input for medical device pricing strategy
Van Westendorp (Price Sensitivity Meter) for Healthcare Market Research
Van Westendorp is widely used in medical device pricing research to assess acceptable price ranges and price perception. Respondents evaluate price points based on what they consider too cheap, acceptable, expensive, and too expensive—providing a directional view of pricing thresholds and perceived value.
Key Activities
- Structured price perception questioning
- Identification of key price thresholds
- Analysis of acceptable price range
Outcomes
- Definition of acceptable price corridor
- Identification of price resistance points
- Directional input for pricing strategy
Segmentation Analysis in MedTech Markets
Segmentation analysis identifies distinct customer groups within medical device markets based on needs, behaviours, and decision drivers. It enables targeted strategies aligned to clearly defined and actionable segments.
Key Activities
- Survey design capturing behavioural and attitudinal variables
- Statistical segmentation techniques (e.g. cluster analysis, CHAID)
- Profiling of segments using observable characteristics
Outcomes
- Clearly defined customer segments
- Understanding of segment-specific needs and drivers
- Actionable targeting and go-to-market strategies
Concept Testing in Healthcare Market Research
Concept testing uses quantitative methods to evaluate how target audiences respond to new medical device concepts, value propositions, or service models. It provides measurable evidence on appeal, differentiation, and likelihood of adoption.
Key Activities
- Structured concept exposure within surveys
- Rating, ranking, and diagnostic exercises
- Measurement of purchase intent and perceived value
Outcomes
- Quantified concept appeal and differentiation
- Identification of key drivers of interest
- Prioritisation of concepts for development
Simalto Analysis for Product Optimisation
Simalto (Simultaneous Multi-Attribute Level Trade-Off) analysis is used in healthcare quantitative research to simulate constrained decision-making. Respondents build their preferred product or offering within defined limits, such as budgets or feature constraints, reflecting more realistic purchasing environments.
Key Activities
- Interactive exercises where respondents allocate points or budgets
- Definition of attributes, levels, and constraints
- Simulation modelling of optimal configurations
Outcomes
- Preferred product configurations under real-world constraints
- Trade-offs between features, price, and performance
- Clear guidance on optimal product design and packaging
Correspondence Analysis for Healthcare Market Research
Correspondence analysis is used in quantitative market research for medical devices to explore relationships between stakeholders, products, attributes, or brands. It provides a visual map of how different elements are associated, helping to identify positioning gaps and competitive dynamics.
Key Activities
- Analysis of relationships between categorical variables (e.g. brand vs attributes)
- Data visualisation through perceptual or positioning maps
- Interpretation of proximity and clustering patterns
Outcomes
- Visual representation of market structure and positioning
- Identification of competitive clusters and whitespace opportunities
- Insight into how stakeholders perceive brands, products, or attributes
How We Approach Quantitative Research
Our quantitative market research is designed around decision-making, not just measurement. We focus on quantifying what matters most—identifying the drivers of behaviour, the trade-offs stakeholders make, and how these translate into real-world choices. We structure every quantitative market research study around clear business questions, ensuring outputs directly inform commercial decisions such as pricing, positioning, segmentation, and go-to-market strategy.
Stakeholders We Engage
We conduct research directly with the stakeholders involved in healthcare decision-making, capturing their perspectives, behaviours, and real-world experiences.
Clinical Stakeholders
Frontline decision-makers in patient care and technology adoption.
Physicians and surgeons, radiologists, cardiologists and other specialists, general practitioners, specialist nurses, allied healthcare professionals, laboratory managers, and clinical experts and key opinion leaders.
Commercial & Operational Stakeholders
Responsible for evaluating value, managing budgets, and implementing solutions
Procurement teams, value analysis committees, hospital administrators, operational managers, finance and commercial leads, and IT and digital stakeholders responsible for integration and delivery.
Leadership & System Stakeholders
Shaping strategy, funding, and access within healthcare systems.
C-suite leaders, clinical directors, payers, reimbursement bodies, and healthcare system stakeholders influencing investment, access, and long-term adoption.

