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Description of the method
Feature Desirability Surveys collect data around how desirable different features of a product or service would be to users. This survey is best used when making feature prioritization decisions as it brings a quantitative data set that represents users' opinions of each feature.
It’s important to use the same survey question and response scale for each feature to ensure the results can be analyzed equally.
Represent each feature in an equal style. For instance if using a single line description of the feature, ensure all features are represented that way. If using an image to represent a feature, ensure all features are represented as an image.
What Great Questions can you answer?
What feature are we missing?
What should we build next?
How should we prioritize the next thing we build?
Strengths of the method
Easy to measure results
Easy to gather large dataset
Can be used to set direction and offer insight into places to dig deeper
Disadvantages of the method
Might get conflicting messages
Might only hear from the loud minority
Be careful who you poll
