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We design and run MaxDiff studies end-to-end—from item refinement and experimental design through programming, sampling, and fieldwork execution.
Our analytics team produces stable preference scores and rankings, supports segmentation cuts, and helps interpret results for messaging, feature prioritization, and value proposition decisions.
You receive decision-ready deliverables—ranked priorities, clear implications, and recommendations—so you can align teams around what matters most.
We work with you to refine the list of features, benefits, or messages to test, making sure items are clear, distinct, and comparable for respondents.
We create the MaxDiff design—how many items appear per screen and how often each is shown—and program the survey so every item is tested in a balanced way.
We define the sample and quotas, including the base sizes needed for segment-level rankings, and manage fieldwork with quality checks on responses.
Our analytics team estimates preference scores and rankings for every item, produces item shares, and compares results across segments.
You receive a findings deck with ranked priorities, score tables, and a clean dataset. A dashboard or interactive summary can be added for stakeholders.
Prioritize features, messages, or claims with clear trade-offs.
Avoid rating-scale bias and get stable preference rankings.
Interval-level scores support segmentation and scenario planning.
Strong input for product roadmaps and communication strategy.
Let's get started — Book a 30-minute discovery call.
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Need to prioritize features or messaging with confidence? Our team can design a MaxDiff study and turn results into clear, actionable recommendations.