Plunet started its journey to implement user research practices into design sprints nine months ago. From there on they decided that every feature idea had to be tested with real users before implementation. The scope of research is very broad and reaches from generative research for better understanding users to evaluative research.
How Plunet established a structured research process with consider.ly
The first research project of Plunet went a bit rough. Without a structured process and no tool support research can get hectic. Weeks before the final design sprint presentation their offices were covered in printed-out interview transcripts and post-its. Obviously, it was hard to keep track of and cross-check the information between the different interviews.
The actual analysis process was time-consuming and only delivered benefits for this one particular project. The analysis was only traceable via post-its and the insights vanished in PowerPoint reports. All additional and deeper knowledge gained during the research got lost after this point.
Plunet researchers realized that they not only needed a tool to guide them through the analysis process but also required a way to store their findings in a shareable, structured, and easy to understand format. Their UX designer Jesús Espuña started to look for different research tools and UX repositories to help Plunet streamline the analysis process and maximize the impact of their UX research.
How consider.ly helped
Plunet decided to use consider.ly which enabled Plunet to structure their research process in one single tool.
At first, a structured tag taxonomy that could be used across research projects was developed within the consider.ly tag manager. The resulting tag overview and tag groups now provide a common understanding of the analysis process and help stakeholders outside the design team to better understand and follow the research. In addition to that, access to the user research data changed. In the past only the design team had access, now the research findings and insights were easily shared across the company – fostering communication and buy-in.
As a noticeable effect after multiple studies, the analysis process got significantly faster, thanks to the lightweight tagging UI of consider.ly.
Also, old research data came to life again, with the help of the consider.ly tagging feature. If new research is conducted it takes just a few clicks to cross-check it with the old research. Plunet already used the cross referencing tags to enrich their user personas with research findings from multiple studies. With cross referencing they linked interesting parts of an interview directly with a user persona. Therefore everybody in the company not only had easy access to the user personas bud could also dive in the underlying research and interviews to get more empathy towards their customers. With consider.ly all the knowledge from different projects is shared in one space.
“consider.ly enabled Plunet to develop a structured research process with easily shareable findings within four months.”
UX Designer at Plunet
Plunet started using consider.ly very quickly. From the very beginning, Jesus used it almost daily and made consider.ly an integral part of the Plunet research process. Until now, Plunet created more than 80 notes for interview data. They structured their data with over 3000 tags – a great UX research repository that led to over 30 new insights.