Innovation
New features come from customer feedback.
Login is currently reserved for closed beta participants. The public release is coming soon.
uxspire is a Voice-of-Customer platform by uxspire GmbH in Leverkusen, Germany. We are building a tool so that teams and companies no longer have to guess what their users and customers need. Our platform brings together direct feedback, UX metrics and audience studies.
Classic web analytics does not answer that question. A team sees bounce rates, click paths and conversion numbers. Why someone abandons the checkout appears in none of those reports. On top of that, many tools set third-party cookies and process data outside the EU.
That is why uxspire collects both in the same project: usage data and answers from inside the product. You ask questions at the point where a decision is made. And you measure UX with standard instruments whose scores stay comparable across releases.
Companies should be able to understand their users without handing data to third parties. One snippet, one tool, all answers in one project.
Every team should be able to ask its users before a decision is made. Even without a research department.
We help companies understand their audiences better and build digital experiences that follow real needs.
Free-text answers, comments on NPS and CSAT scores, audience studies. Qualitative data explains why a number moves.
uxspire turns studies and user feedback into clear segments and data-based personas for well-founded product decisions.
New features come from customer feedback.
We only store what you collect yourself.
We build for concrete use cases.
Fewer settings, clearer decisions.
For us, quality means looking closely, listening and taking the small things seriously.
For us, transparency means showing openly what we do, why we do it and what we are still working on.
uxspire is built by two founders: one comes from UX and product, one from cloud engineering and machine learning.
Over 20 years in UX, usability and digital product development. Responsible for product, research methodology and customer contact.
Focused on cloud architecture, the data model and machine learning. Responsible for engineering, operations and platform security.