Simultaneous triangulation is an incredibly powerful tool to generate comprehensive and verified findings.


If you only use one method, you could end up with blind spots.


If you employ methods sequentially rather than simultaneously, you could run into unexplainable contradictions.


Choose methods from different quadrants of the “What-Why Framework” to provide complementary perspectives. Apply these methods at the same time, to the same group of users.


Research


by Colette Kolenda
in Simultaneous Triangulation: Mixing User Research & Data Science Methods

by Colette Kolenda

in Simultaneous Triangulation: Mixing User Research & Data Science Methods

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