FEATURE PRIORIZATION

In order to guide the prioritization and classification of collected requirements, additional quantitative research can help to rank the features by importance and impact. For this we offer internal evaluation methods (e.g. prioritization matrices), as well as, qualitative (KANO, chip game) and quantitative methods (MaxDiff, Conjoint).

KANO-analysis helps to cluster possible features into different types of qualities (must-be, attractive, one-dimensional) and let you prioritize the implementation of those features based on empirical data. The results give an indication of what qualities or requirements the user thinks would have the most impact on their satisfaction with the planned product or service.

Conjoint or MaxDiff surveys measures the importance of individual features or topics. Results are calculated using a hierarchical Bayes regression. The results not only allow us to rank the different features and topics according to their importance for the user but also to show the relative distances between the importance of them.