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Affinity diagram1:09 with Tomer Sharon
The most useful and popular technique for analyzing qualitative user research data is called an Affinity Diagram.
Evans, W. (2013). Introduction to Design Studio Method. TLCLabs.
Klocek, S. (2011). Better together; the practice of successful creative collaboration. Cooper Journal.
Gothelf, J. (2013). Lean UX. O’Reilly: Sebastopol, CA.
Lindstrom, J. (2011). Design Studios: The Good, the Bad, and the Science. UX Booth.
Warfel, T.Z. (2012). The Design Studio Method. Agile UX NYC 2012.
The KJ Technique: A group process for establishing priorities, by Jared Spool.
Creating an Affinity Diagram Sophie Brenny and Freek de Bruijn
Using Affinity Diagrams Arizona Public Health Training Center
The most interesting and popular technique for
analyzing qualitative user research data is called Affinity Diagram.
It is based on the KJ technique developed by the Japanese anthropologist,
Jiro Kawakita, in the 1960s.
The gist of the technique is simple.
Write down every single observation, insight,
finding, comment, thought, question, design idea, etc.
on a post-it note real or digital.
Shuffle the cards, sort similar cards into groups, and identify themes in the data.
Label each group.
A key aspect of affinity diagramming is keeping an open mind.
Let the themes and categories emerge from the data rather than
pre-defining categories and simply sorting each card into its basket.
An affinity diagram is powerful when you create it as a team, yet
you can definitely analyze the data single-handedly by using it.
The resources section in this stage lists several resources for
running an effective affinity diagram exercise.
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