Venn Diagram MedTech Success – Aligning Product and Business Strategy

MedDevice by Design with Mark Drlik and Ariana Wilson
Resources

Venn Diagram MedTech Success – Aligning Product and Business Strategy

YouTube video thumbnail

In this episode of MedDevice by Design, we explore how the Venn Diagram MedTech Success model helps early-stage companies align product design with commercial strategy. Mark Drlik and Ariana Wilson share how this triple Venn framework, focusing on feasibility, viability, and desirability, can diagnose the strengths and weaknesses of a MedTech product or startup.

What Is the Venn Diagram MedTech Success Model?

The Venn Diagram MedTech Success framework consists of three intersecting pillars:

  • Feasibility: Can we build it? Do we have the technical and engineering capability?
  • Viability: Can we sell it? Will it generate economic value in a competitive market?
  • Desirability: Will users and payers want it? Does it meet clinical and user needs?

Mark emphasizes that while most teams focus heavily on feasibility, overlooking the business and market context can derail an otherwise brilliant product.

Applying the Venn Diagram to Real-World MedTech Devices

Mark uses intravascular lithotripsy—a device designed to break up calcified plaque in arteries—as a real-world example. This innovation checked all three boxes:

  • A strong business strategy and regulatory plan (viability)
  • A differentiated product that improved safety and effectiveness (desirability)
  • A feasible, proven technical path with clinical precedent (feasibility)

By mapping success factors in each area, teams can assess risk early, validate commercial potential, and focus their development investment where it matters most.

Why This Matters in Early-Stage MedTech

The Venn Diagram MedTech Success model is especially useful for startups navigating limited budgets and uncertain markets. It helps founders:

  • Prepare for investment pitches
  • Avoid over-engineering a product no one wants
  • Prioritize features that drive adoption and reimbursement

Whether you’re aiming for acquisition or full commercialization, this framework offers a repeatable, cross-functional approach to building successful medical technologies.

Patient undergoing optical eye imaging exam using a slit lamp style diagnostic device for detailed corneal and anterior eye analysis.

I was recently looking through the OPTICA trade journal Optics and Photonics News – specifically its summary of “Optics in 2025.” A few highlights were of particular interest to me in terms of their potential applicability to future medical devices.

Thumbnail with the words “Designing Out Bias” above an ECG waveform and a gloved hand holding a surgical instrument, highlighting bias in medical device design.

Ariana Wilson and Mark Drlik explore how bias can enter the development process and why engineers and manufacturers must actively work to prevent it.

Healthcare worker disposing hazardous medical waste into a biohazard container in a hospital setting

Did you know that 5-8% of total national carbon footprints come from the healthcare sector? Much of this (around 80%) is general waste – such as from office work – and the rest (~20%) requires special handling due to its dangerous nature.

Artificial intelligence ECG waveform with neural network overlay illustrating AI arrhythmia detection model

Electrocardiography (ECG) remains the gold standard for non-invasive cardiac assessment, providing a vital window into the heart’s electrical health. By recording electrical impulses through surface electrodes, clinicians can identify life-critical conditions such as arrhythmias, myocardial infarctions, and conduction abnormalities.