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.

- finding out what's really requested by customers the easy way - the AI features of course - very intuitive use and almost "modelling capabilities" - quick customer support who really cares

Es hilft mir, einen ganzheitlichen Überblick über das Feedback der Benutzer aus allen Interaktionsquellen zu haben. Es demokratisiert gewissermaßen den Zugang zu Feedback und Produktentdeckung für jeden im Unternehmen.