You’re probably all familiar with customer journey maps as a user research output and/or design tool. But their usefulness can also extend to the research process, especially when you are trying to understand user decision-making. That is, the journey map can be a useful visual tool for both participant and moderator in a one-on-one interview.
Journey maps can be used to map out users’ behaviour and delve into the beliefs, attitudes and emotions that underpin this behaviour. When coupled with some research techniques grounded in cognitive psychology, you have a very sound and rigorous approach to understanding your user’s decision-making.
As UX researchers, whether we are working on some early exploratory user research, or working on a quick and ‘lean’ usability testing project, due diligence in analysis is a necessary part of our trade. But have you ever experienced ‘paralysis by analysis’ or felt overwhelmed by the amount of data collected? You may have just spent a month conducting contextual enquiries with your user base, and now face the seemingly impossible task of pulling it all together. Or you may be working in an Agile / Lean UX environment and have just finished 4-6 test sessions and now need to quickly work out what the key insights are – due tomorrow. How do you get a handle on all this information and distil it into some meaningful insights?
For those who want to foray into the field of User experience (UX) design, it should be noted that the elements of UX that you learn at university are very different to real life experiences in the industry.
UX design is often integrated into undergraduate university courses - not a course in itself, but you can major in UX design if you opt for a Bachelors in Information Technology and want to escape the lifetime of coding that looms ahead. However, if making the digital experience easier for people to use sounds like something you want to devote a large chunk of your life to, then reading this article may help you become UX design industry-ready.
The main issues which had a dramatic effect on data quality and the user experience of the 2016 Australian census were largely related to the design of the delivery and distribution process, offline support and technical issues but we can still learn a lot from the #censusfail both in terms of process and UX design.
How the Soviet Unions military training from the 1930's (aka The Soviet bomb dog story) is informing usability testing and research in 2016.
Creating a good customer experience is a lot like baking a cake - there are key ingredients essential to include and a recipe you need to follow to get the best outcome. Sure, there are out of the box solutions nowadays that can make this process much easier, but quality ingredients combined with a methodical approach will yield a much better experience for the consumer (and a more delicious cake).
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