Researching your audience is imperative to developing a successful, ‘needed’ product or service.
To create something people want and need, you first must find out what they want and need. After all, creating a product or service without that vital information is like getting into a car and saying, “Go!”
In the book Pain Killer Marketing, researchers Chris Stielhl and Henry DeVries found that one-on-one interviews can generate around 80% of all possible pain points for your target market. That’s some seriously helpful information!
Of course, you can’t just rock up to anyone in the street with a pen and paper. And you can’t just make it up as you go along. To get the right information, you must prepare the right questions.
We recently launched several new features to even further supercharge your UX research analysis! You can now manually add sentiment (positive/negative) metadata to any user research note. Also, our new Tag Groups feature helps you organize user research notes, data and insights across multiple studies easily!
An affinity diagram is a tool often used to organize data and ideas. Affinity diagrams help you organize information into groups of similar items to then analyze qualitative data or observations.
Business and design teams have used affinity diagrams for a long time to organize ideas, complex information and even customer feedback into themes or groups. For UX researchers, affinity diagrams are often used for analyzing and synthesizing user research findings by patterns and themes. In this case affinity diagrams are sometimes referred to as the KJ method or an affinity map. Also in other broad application like business brainstorming or idea generation it may be called a cluster map.