One of the primary benefits of MaxDiff is that it allows for a large number of items to be traded off against each other, efficiently, while preventing rating scale bias. It has a wide variety of applications and may be considered any time a rating, ranking or constant sum scale would be used. More complex data like pricing/ costing can be handled with Survey Analytics's MaxDiff Conjoint Analysis tool.
Survey Analytics Max Diff Analysis
MaxDiff analysis can be used in new product features research or or even market segmentation research to get accurate orderings of the most important product features, Survey Analytics help's you discriminate among feature strengths better than derived importance methodologies. Like other trade-off analyses, the analysis derives utilities for each of the most important product features which can be used to derive optimal products, using market segmentation to put respondents into groups with similar preference structures, or to prioritize strategic product goals.
You can have your respondents perform Forced-choice nature of the tasks, where in Survey Analytics MaxDiff can disentangle the relative feature importance in cases where average Likert-style ratings might all have very similar ratings.
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