
This episode explores how designing for user workflows can accelerate sales in B2B analytics and AI products by improving user experience outcomes.
In this second part of my three-part series (catch Part I via episode 182), I dig deeper into the key idea that sales in commercial data products can be accelerated by designing for actual user workflows—vs. going wide with a “many-purpose” AI and analytics solution that “does more,” but is misaligned with how users’ most important work actually gets done. To explain this, I will explain the concept of user experience (UX) outcomes, and how building your solution to enable these outcomes may be a dependency for you to get sales traction, and for your customer to see the value of your solution. I also share practical steps to improve UX outcomes in commercial data products, from establishing a baseline definition of UX quality to mapping out users’ current workflows (and future ones, when agentic AI changes their job). Finally, I talk about how approaching product development as small “bets” helps you build small, and learn fast so you can accelerate value creation. Highlights/ Skip to: Continuing the journey: designing for users, workflows, and tasks (00:32) How UX impacts sales—not just usage and adoption(02:16) Understanding how you can leverage users’ frustrations and…
Host: Brian T. O’Neill
Organizations: Designing for Analytics
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