Capabilities
Understanding complex medical device markets and user decision dynamics requires more than intuition. It demands rigorous, evidence-based capabilities that combine deep qualitative exploration with robust quantitative analysis. Our methodologies are designed to support strategic decisions in Medical Device Development, capital equipment pricing, workflow positioning, and clinical adoption – enabling organisations to move confidently from insight to action.
Qualitative methods: uncovering the “why” behind clinical and purchasing decisions
Qualitative research provides the nuanced understanding needed to interpret attitudes, motivations, and behaviours that shape technology choices in hospitals, labs, and clinics. Through in-depth exploration, we reveal underlying decision drivers—from ergonomics to economic value—that inform strategic prioritisation and optimal device design.
Our qualitative capabilities include:
- In-Depth Interviews (IDIs): One-to-one discussions with surgeons, physicians, Value Analysis Committee (VAC) members, and end-users to surface deep clinical needs and usability barriers.
- Group Sessions: Moderated interactions where a small group discusses a specific concept to gather deep insights into diverse perceptions or consensus and shared opinions through interactive dialogue.
- Observational Field Studies: Contextual observation in operating rooms (ORs), labs, or clinical settings to understand real-world device use, ergonomics, and workflow integration.
These methods are conducted by experienced moderators and supported by specialised panels of healthcare professionals, ensuring insights are both credible and technically grounded.
Quantitative methods: measuring device market dynamics and value
Quantitative analysis provides statistically reliable data on feature preferences, price sensitivity, segmentation, and demand potential — essential for evidence-based strategy in hardware/software innovation and go-to-market planning. Our quantitative frameworks are tailored to the unique complexity of MedTech ecosystems, including capital vs. consumable revenue models.
Key quantitative techniques include:
Joint statistical approaches for preference and trade-offs
- Choice-Based Conjoint (CBC) and Adaptive Conjoint (ACBC): Reveal how clinical and economic buyers prioritise device features, connectivity, and pricing, helping define optimal product configurations.
- Max Diff: Provides robust ranking of device attributes and clinical benefits by importance, mitigating scale bias and highlighting priority drivers for adoption.
These preference modelling methods are essential to tailor device attributes and forecast market appeal with precision.
Pricing and demand analysis (incl. conjoint analysis CBC and ACBC)
- Van Westendorp price sensitivity meter: Establishes acceptable price corridors based on hospital or clinic perception of value.
- Cascading price analysis: Tests specific price points for willingness to pay, adapting to capital equipment, leasing, or disposable models.
- Demand and revenue modelling: Integrates pricing with projected market share, revenue, and profitability scenarios.
These techniques are particularly useful for MedTech pricing strategy and adoption forecasting in Medical Device Development contexts.
Our analytical tools: voxDecidor™ & voxVW™
To make advanced analysis accessible and actionable, we have developed proprietary platforms tailored to the MedTech and connected device environment.
voxDecidor™ — Preference simulation modelling
voxDecidor™ is a web-based platform that translates preference and conjoint data into dynamic market simulations. It allows MedTech teams to explore “what-if” scenarios without re-surveying, helping predict device performance, competitive share, and positioning under different strategic hypotheses.
Core benefits of voxDecidor™:
- Custom-designed for MedTech and medical device preference simulation
- Enables market scenario testing across clinical and economic buyer segments
- Supports feature-bundling, positioning, and branding analysis
- Compatible with Excel and PowerPoint for immediate strategic application
voxDecidor™ empowers teams to visualise how device attributes and price trade-offs influence purchasing decisions – a critical foundation for confident R&D investments.
voxVW™ — Pricing and adoption modelling
voxVW™ operationalises the van Westendorp Price Sensitivity Meter to produce market-relevant pricing insights and adoption forecasts for medical technologies. It captures how clinical value perceptions translate into price thresholds across different healthcare systems.
Key capabilities of voxVW™:
- Custom segmentation to determine acceptable price ranges for devices and consumables
- Adoption estimates using enhanced methodological extensions
- Web-accessible results for real-time commercial strategy refinement
- Designed with complex healthcare procurement behaviour in mind
This tool supports pricing strategies that reflect institutional willingness to pay and expected adoption patterns across target clinical markets.
How these methods support strategic decisions
Our qualitative and quantitative methods are not conducted in isolation – they are woven into decision frameworks that drive device engineering, pricing, target segmentation, and clinical adoption planning.
These capabilities help MedTech organisations to:
- Prioritise device features informed by real clinical and economic trade-offs
- Define pricing strategies aligned with perceived value and reimbursement landscapes
- Identify high-value clinical segments and tailor technological positioning
- Forecast adoption scenarios that reduce commercial and R&D risk
Together, these tools and methods provide a comprehensive understanding of market dynamics that supports medical device development and strategic planning.
Contact our capabilities team
If your organisation seeks to elevate its market understanding, refine device pricing through advanced quantitative models, or explore nuanced user insights through qualitative enquiry, our team is ready to support you.
We specialise in translating complex data into strategic guidance that informs decisions with clarity and confidence – particularly within MedTech, Medical Devices, Diagnostics, and Digital Health environments. Contact us to discuss how our capabilities can be aligned with your strategic priorities.