Style guides are a great way to ensure user experience consistency when developing an application and a way to communicate user experience standards across an organization. They can be application specific, platform specific, and may encompass enterprise-wide standards. A style guide can help make the development of user interfaces more efficient and help ensure good user interface design practices. … »

Transformation is the act of taking a set of values from a dataset, processing them in some way (depending on the aims of the research) and arriving at a new set of values with the goal of revealing some aspect of the data from a new perspective. … »

“We won’t be doing any user testing for this project. There’s just no budget for it, and we don’t have time.” Hear this often? We do, particularly since we work in Ireland – a small country with similarly small companies and budgets. However, we believe user research is too important to give up. So instead, we have to run tests quickly and cheaply for our clients to accept the cost – and we have to clearly show how it brings value. Because of this, we’ve developed a toolbox of quick, cheap UX research techniques.

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Everyone reading this knows what a brainstorm is (I hope). I want to review a bit about the process I’ve used to find success in brainstorms, why they are helpful, and how they can be more successful in a corporate environment. If you work in an agency, this may not be as helpful, but might offer an interesting perspective. For those in the corporate environment, I hope this will help give you new ideas and erode old beliefs. … »

Deconstruction is one of the most frequently used and fundamental analysis techniques in our toolkit. It is used as both a preparatory technique to get research data ready for use in other ways; and a powerful technique in its own right as a method of isolating, exposing, and testing assumptions deeply embedded in our mental models. … »

Analysis is that oft-glossed over, but extremely important step in the research process that sits between observation (data gathering) and our design insights or recommendations. In many respects, analysis is crucial to realizing the value of our research since good analysis can salvage something from bad research, but the converse is not so true. This is where the literature tends to fall a little silent, jumping over the analysis techniques straight to a discussion of how best to document and communicate the findings from analysis. This article seeks to begin to redress that imbalance by breaking down the analysis black box into its major sub-techniques. … »