Mixing different types of information in user experience (UX) research helps you get a better understanding of what people need. Here’s how I do it:
Triangulation: Use stories and feedback from users to explain numbers. For example, if a survey shows fewer people are happy with a service, talking to them can help you find out why.
Complementarity: Join the detailed information from interviews with the wider data from surveys. This gives you a clearer overall picture.
Iterative analysis: Keep going back and forth between the different pieces of data. This helps you improve your understanding as you learn more.
Using this mix creates a stronger base for design!
Mixing different types of information in user experience (UX) research helps you get a better understanding of what people need. Here’s how I do it:
Triangulation: Use stories and feedback from users to explain numbers. For example, if a survey shows fewer people are happy with a service, talking to them can help you find out why.
Complementarity: Join the detailed information from interviews with the wider data from surveys. This gives you a clearer overall picture.
Iterative analysis: Keep going back and forth between the different pieces of data. This helps you improve your understanding as you learn more.
Using this mix creates a stronger base for design!