The MedTech Pricing Decision Most Teams Get Wrong

When MedTech companies evaluate pricing architecture, many teams ask, “Should we run MaxDiff or Conjoint?” The better question is: “What decision must this model support?” Both methods are powerful, but they answer different strategic questions. Choosing the wrong one creates elegant analysis with low decision utility.

MaxDiff: Best for Priority Structure

MaxDiff (best-worst scaling) is ideal when teams need a clean hierarchy of value drivers. It excels in early strategy phases where the objective is to identify which features, outcomes, or service elements stakeholders value most relative to alternatives.

Conjoint: Best for Trade-Off and Price Simulation

Conjoint analysis is superior when teams need to estimate willingness-to-pay and market-share effects under realistic product-price configurations. It captures trade-offs directly and supports scenario modeling for commercial planning.

Where Each Method Fails if Misapplied

Recommended MedTech Workflow

  1. Run MaxDiff to establish high-confidence attribute hierarchy.
  2. Use findings to reduce conjoint attribute complexity.
  3. Execute conjoint with realistic product and reimbursement contexts.
  4. Model outputs by segment: hospital procurement, specialist prescribers, and payer-influenced users.

Bottom-Line Recommendation

If your question is “What matters most?” start with MaxDiff. If your question is “What can we price and still win?” use Conjoint. In many MedTech categories, the highest-confidence strategy combines both sequentially.

For implementation patterns in GCC healthcare markets, read our guide on quantitative healthcare market research.


Author Bio: Written by Mohammad Alsaadany, healthcare market research specialist with 15+ years in pharmaceutical and MedTech strategy. LinkedIn: linkedin.com/in/mohammad-alsaadany.