Maximum Difference Scaling is a very effective method of establishing the relative priority attached by an audience to a large set of items (up to 30). These items might be:
- Features or benefits of a service
- Areas for potential investment of resources
- Interests and activities
- Potential marketing messages for a new product
- Products or Services used
Traditionally, for a large number of items (more than 10) this might have been addressed via a rating scale. For example, we might ask on a numeric scale of 1..10 where 1 is not important at all and 10 is Extremely important, how important is each item? Each item's average score can then be presented for any subgroup.
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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