Webcast: Too much choice? Cure the headaches of traditional conjoint with novel approaches

Mariana Servin & Misti Paul - Jan 2020

Conjoint analysis has evolved into a tool kit that includes a wide variety of models with multiple applications. It's used to inform product design, optimise pricing strategies, access programmes and estimate the size of future market opportunities. However, traditional approaches have limitations such as the number of attributes that can be evaluated, interview methods that can be used, minimum sample sizes required and the length of time required to cover all the necessary questions or tasks. How can we as healthcare market researchers overcome these? 

Conjoint 2020
Conjoint 2020

Conjoint analysis has evolved into a tool kit that includes a wide variety of models with multiple applications. It's used to inform product design, optimise pricing strategies, access programmes and estimate the size of future market opportunities. However, traditional approaches have limitations such as the number of attributes that can be evaluated, interview methods that can be used, minimum sample sizes required and the length of time required to cover all the necessary questions or tasks. How can we as healthcare market researchers overcome these? 

Watch this webcast in which quantitative experts Mariana Servin and Misti Paul outline some of the key limitations of traditional conjoint research and how to overcome them. 

They discuss how novel approaches, such as linked models (integrating inputs from multiple stakeholder groups) and our proprietary conjoint technique ChoiceQUAL can help you to simulate real-world buying situations and better understand how your customers’ make choices.

What are the key takeaways?

  • Revisiting conjoint: Understand the theory behind conjoint analysis and the main methodologies that are typically used in healthcare

  • Overcoming the obstacles: Find out about the main limitations of traditional approaches and how novel ones can help make conjoint feasible in difficult situations.

  • Where to next? Explore the future developments of conjoint methods including A.I. and integration with real world data.

  • Gain answers to your key questions: At the end of the webinar there will be a live Q&A session. Start the conversation by submitting your questions in advance when you register.

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