Feature Prioritization

You add the features, messages, or benefits you want to compare, choose your audience, and launch a guided trade-off survey— no survey design experience needed. 

The solution automatically runs MaxDiff and TURF analysis once responses come in, then delivers priority rankings, preference scores, and the feature combination most likely to appeal to the widest share of your audience.

You only pay for the research you run—no subscription, no long-term commitment. 

Your cost comes down to two things:

2. Targeted responses (optional): If you want, you can get feedback from your target market using our global panel. Price varies based on the number of responses and targeting. Learn more about our market research panel.

Not at all. The Feature Prioritization solution guides you through every step—from setup to analysis—so you can run a professional MaxDiff study without any research or quantitative background.

Feature Prioritization is ideal any time you need to rank options objectively and identify the combination with the widest appeal, including:

If you choose to send your survey to our integrated panel, you can often go from launch to a full analysis in hours. It really depends on your audience sample, but even for niche global audiences, most studies wrap up within 24–48 hours.

Our powerful data quality controls ensure reliable respondent data at scale—so you know your results are accurate.

MaxDiff is one of several market research methodologies designed to identify and rank customer preferences, producing best-worst data. It is a type of best-worst scaling that gauges survey respondents' preference scores for different items. 

Here is a breakdown of how MaxDiff analysis differs from other common methods.

MaxDiff analysis vs. standard rating scale questions
In marketing research, standard rating scale questions differ from MaxDiff analysis in that they don’t force a respondent to choose their top preference from a list of choices. 

Standard rating scales aim to capture consumer opinions regarding a product or service. While types of rating scales vary, they often ask respondents to choose on a scale of 1 to 5, ranging from strong disagreement to strong agreement with a statement.

MaxDiff analysis vs. conjoint analysis
In conjoint analysis, researchers add more dimensions beyond what MaxDiff analysis seeks to determine by describing a product or service with multiple attributes.

Multiple product features are combined to build many product concepts. Then, respondents are asked to choose which concept they prefer, providing feedback that can be valuable in developing the most useful and marketable product. SurveyMonkey doesn’t currently offer conjoint analysis.

MaxDiff analysis vs. Likert scale surveys
Likert scales measure agreement/disagreement on statements, but don’t force prioritization. They are easy to administer, but often lead to “everything is important” results. MaxDiff cuts through this by requiring respondents to distinguish what’s most versus least important.