"the interfaces we aim to make frictionless, the journeys that help users find value, and the connection to the business outcomes we hope to achieve. That work is becoming even more important today. As AI-driven and generative tools move into our day-to-day workflows, the experiences we design no longer stop at the interface. Interfaces can now generate, adapt, and learn from what users do next. The quality of those learning loops depends on the quality of the signals we build into them."
"As we move from static interfaces to generative ones, understanding the signals produced by our experiences and how those signals tie back to a user's intent becomes foundational. These signals help generative systems reduce model loss, meet expectations, and continue doing what we care about most: helping people make progress in ways they find meaningful."
Product designers must extend focus from frictionless interfaces and user journeys to the signals generated by interactions that inform learning systems. Generative and AI-driven tools enable interfaces to generate, adapt, and learn, making signal quality essential to reduce model loss and meet user expectations. Instruments and telemetry should be tied to business outcomes so signals map to user intent and enable iterative optimization loops. Defining meaning before collecting data ensures metrics capture purposeful behaviors rather than noisy events. Mapping signals to intent prepares products to shape intelligent experiences that help people make meaningful progress while supporting product and business goals.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]