Pure CPQ

Three questions to the project team

What was the particular challenge of the project from a UX point of view?
The biggest UX challenge was simplifying an expert-driven, highly technical process—configuring and quoting data storage solutions—without losing accuracy or flexibility. Our users range from sales engineers to enterprise customers, each with different levels of expertise and expectations. We needed to create a guided experience that supported confident decision-making for non-experts, while still giving technical users full control. Balancing simplicity and control—while building trust in automated recommendations—was a core challenge we solved through iterative, research-driven design.

What was your personal highlight in the development process? Was there an aha!-moment, was there a low point?
One of the biggest aha! moments came during a participatory design workshop, when we realized we could address over 80% of user needs with just four simple inputs—things customers already knew. That insight sparked the product recommender concept, making what once felt impossibly complex suddenly feel accessible. A low point came when we discovered smart recommendations weren’t enough for some real-world workflows. But that setback pushed us to design more flexible interaction patterns, and in the end, it made the product even stronger.

Where do you see yourself and the project in the next five years?
In five years, we see Pure CPQ becoming the industry standard for quoting in enterprise data infrastructure. As the first solution of its kind, it leads the democratization of data storage quoting—making it accessible to customers, partners and sellers alike. Personally, we hope to continue shaping enterprise UX in ways that make technical processes more human, more transparent, and more empowering. This project has shown that with the right design approach, even the most complex systems can become approachable and user-first.