Technology is only successful if it delivers value to its users and AI is no exception. Ensuring from the outset that your AI project responds to a genuine user need, has great usability connects emotionally is the goal of User Experience (UX) design.
Speed of iteration, regular contact with end users and close collaboration within the product team are the keys to successful design. We base our approach on Jeff Gothelf and Jeff Patton’s Sense and Respond framework to focus our work on the highest value items while pragmatically de-risking new developments without reducing velocity.
Our Lean UX toolkit is:
We are now witnessing a new shift in computing: The move from a mobile-first to an AI-first world
- Sundar Pichai, CEO, Google
Though the fundamentals of UX remain the same, AI projects have a unique set of challenges, both in terms of how we build products and how users interact with them. Central to this is maintaining a smooth experience despite the unpredictability of AI.
The key AI challenges are:
Apart from having designers who are familiar with these issues, working on AI projects requires an even tighter collaboration with the entire team through the iteration cycles to reach a great solution in an evolutionary rather than deterministic manner.
We can help you help with the design of AI products or setting up an AI-friendly UX process