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  1. How did this exercise help you build empathy with prospective users?

As a special brainstorming tool, affinity diagram helps me create ideas and hypotheses, get feedback about user experience, organize information to analyze the demand of users that could be used to determine prospective thoughts in the next step.

Interviewing is essential, but it involves too much information and fuzzy data. Therefore, affinity diagram is needed to classify information, understand implication that behind fuzzy data, and apply them in building empathy with prospective users.

 

  1. How did the clustering of information help you to understand user needs?

Users usually share their user behavior, user experience, user needs and user expectation in interview, which brings a lot of repetitive and foggy information. By recording the observations found in the information, grouping similar observations together in columns, and labeling clusters, affinity diagram helps me organize existing relationships which hide behind a large amount of information for seeing gaps between the current user experience and actual user needs and solving the most commonly mentioned problems in interview.

 

  1. What was difficult of challenging with the technique? How would you do it better next time?

The speed of reading and recording is my first challenge in the use of affinity diagram. The user interview is quite long, and I could not finish reading it and recording all the observations in the allotted time. Therefore, I’ve missed some important information, which affected the further processes of organizing and labeling.

Labeling ability is the second challenge. It was very difficult when our group tried to use short sentences to label clusters as accurately as we could, which were grouped by many similar observations.

Therefore, I would improve my reading speed and labeling ability to work on affinity diagram next time.

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