What do you like best about NEXT?
We are a startup inside a large enterprise and chose NEXT as a tool to help us gain insights from many dozens of explorative user interviews carried out by different team members.
We where looking for a tool that is collaborative, flexible to adapt to our needs and makes our work more easy. Therefore, we decided to use NEXT instead of more traditional software for qualitative Analysis.
And indeed, NEXT makes it surprisingly easy to gain and share insights from interviews. It really changes the way you can work and collaborate without following the lengthly process of manual transcription and encoding that traditional methods require.
With NEXT, you upload an interview, it is automatically transcribed and you just need to select those quotes / snippets you find interesting, you can also add a description and tags for them. Then, you can combine multiple highlights into "Stories" you would like to use as evidence or share with your team members. And you can use the helpful AI function to extract insights. Personally, I have the impression that it makes it so easy to analyze interviews, that you can spend more time and focus on reflecting about what to do with your new findings.
To keep an overview over different types of interviews and findings, you can use labels, tags and the search function. This is a very simple and easy to use UI. But using tags and labels, it was easy to adjust the overviews to our needs.
The NEXT team always responded quickly when we faced issues and implemented many of our wishes for new features. Review collected by and hosted on G2.com.
What do you dislike about NEXT?
After having more than 100 interviews in our project in NEXT and adding dozens more, it started to become too much content to keep a well structured overview of all interviews and findings. Therefore, we heavily used tags and labels to structure the data.
Indeed, labels and tags greatly help to bring structure into the interviews and highlights, but you need to make sure that all team members use the same tags and labels to avoid confusion. In our team, different team-members sometimes used different tags to describe the same thing. Therefore, you need to agree in your team how you wish to tag and label your data and follow these guidelines consequently. For the future, I hope that NEXT introduces new features and functionalities to group similar interviews and findings more easily together. Review collected by and hosted on G2.com.