Introduction
MaxDiff (Best-Worst Scaling) estimates preference or importance scores for a set of items, such as brands, product features, or claims. Rather than asking respondents to rank a large list, MaxDiff breaks it into smaller tasks. In each task, respondents choose the best and worst items from a subset of typically 4 to 6 items. This makes the process more manageable and produces more accurate, reliable results.
MaxDiff outperforms traditional rating scales by offering clearer distinctions between preferences. Since respondents choose only the best and worst options without relying on a response scale, it eliminates common biases seen in cross-cultural research.
