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Analyzing Interpreting Interviews

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Context: This exercise is designed for innovators who are preparing to analyze data from user interviews.  

Objective: The objective of this exercise is to provide innovators with a tool to analyze user interview data using a collaborative and visual technique called affinity mapping. User interviews can produce a wealth of data, so it's essential to approach the data analysis process in an organized and systematic way. 

Process: The exercise will guide innovators through four steps to identify key themes, patterns, and pain points that are vital for creating effective prototypes. 

Credits: 

This tool was designed in collaboration with the coordinators and students in the Concordia University Innovation Lab.

ChatGPT (OpenAI, 2024) was used during the creation of this template. 

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Ann-Louise Davidson image
Ann-Louise Davidson
Professor@Concordia University
I am the Director of the Concordia University Innovation Lab and a Professor in Education. In Fall 2025, we are launching a new microprogram designed to cultivate an innovation mindset in students. The tools we’ve developed are actively integrated into the lab’s learning experiences and my courses. As a passionate collaborative action researcher, I am deeply committed to developing methods that structure meaningful conversations and uncover thinking patterns.

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