MaxDiffPro — Market insights like no others, for all your decision-making




MaxDiffPro, an advanced solution by AXYZ Analytics, stands as a leader in market research, specifically in MaxDiff (Best-Worst Scaling) studies with a commitment to excellence.



We deliver precise, actionable insights through specialized software and a diverse panel of respondents. Our team is committed to developing efficient tools to ensure every study meets the highest standards of quality and reliability.



Read more about Traditional MaxDiff (Best-Worst Scaling)
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How MaxDiffPro Solves
Your Biggest Challenges ?


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AND MORE...


Not sure if your use case can benefit from MaxDiffPro? You might be surprised by how many scenarios this top-notch solution can handle. Don't hesitate — just contact us.



Traditional MaxDiff (Best-Worst Scaling) in a Glance

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Animation with:
(1) Your List of Options
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(2) Choose the MOST and the LEAST
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(3) Precise Ranking
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Our Innovations

The Dual Response


Our MaxDiffPro studies can include a "Dual Response" question to enhance the insights we gather. This option is customizable to fit the unique needs of your study.


After identifying the top choice in a MaxDiffPro task, we ask participants a "Dual Response" question to gauge their true commitment to their preference, determining if they would realistically subscribe to, buy, or interact with it.


We tailor Dual Response to fit your study, from assessing willingness to "join" a party, "subscribe" to a gym, to decisions on "buying" or "renting." The aim is to understand the impact of each option on your specific outcome.


Advantages:
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Pierre

Balanced Design


We use an in-house algorithm to implement a 'balanced design' rather than relying on random displays, ensuring more pairs and triplets are shown for fairer assessments. This approach avoids bias and uneven item distribution, resulting in more accurate, reliable, and actionable survey data.


Advantages:
  • Improved Data Quality: Ensures data reliability and accuracy through consistent representation.
  • Reduces Systematic Bias: Minimizes bias by evenly distributing items across comparisons.
  • Enhanced Discriminatory Power: Identifies item preferences more effectively, capturing logical patterns (e.g., if A > B and B > C, then A > C).
  • Easier Analytics: Simplifies data analysis and interpretation by structuring comparisons logically.
  • Reduced Participant Fatigue: Prevents overexposure to the same items, maintaining engagement.





Would you like to hear more about it?
Pierre


Our Solution — The Optimal Methodology



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FAQ



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