Your privacy and security is our #1 priority and we want to make sure AI is available for all our customers. Therefore, we're thrilled to announce that Admin users of Enterprise customers can now choose how they want to deploy our AI capabilities, either via OpenAI (US) directly or via Microsoft Azure (West Europe). This enterprise feature make compliance to your organizations guidelines on AI and data residency a lot easier
NEXT AI offers tremendous productivity gains for researchers, with transcription, automatically identifying key customer moments, and more. However, that's just part of the value! Across the board, we see that UX research is incredibly understaffed in product teams. Research shows that for every 8 members of a product team, there's only 1 UX researcher. And this researcher can never be in every single decision meeting. Therefore, to make customer insights go further and have more impact, it's key to make them accessible to anyone in the team. Until today, there was never an easy, meaningful way to do that
We're excited to announce NEXT AI NEXT AI accelerates the entire research & discovery flow from interview to insight. It will let you do more, faster, and better product discovery while reducing your time and effort by up to 85%. You can think of NEXT AI as your discovery assistant. It transcribes, analyzes, identifies, tags, and summarizes insights from your customer interactions, like interviews or usability tests
When uploading and transcribing a recording, NEXT automatically identifies the correct language. However, strong accents may pose a challenge for AI language recognition, and in those case it may need a little help
From now on, NEXT helps you identify positive or negative emotions in your customer interactions faster than ever before with AI-based sentiment analysis on the speaker level
Over the past months, our users continuously shared with us the need to describe, share and discuss highlights they create in their audio- and video transcripts. They taught us: "Highlights aren't the interpretation of my work, but merely the marking of important text that needs to be interpreted, described, shared, and discussed with the team – this will increase our shared understanding of our users and customers."