Graphic design
fromMedium
5 hours agoHow design leaders influence decisions without being in the room
Effective design communication requires clear annotations to convey decisions, hypotheses, and outcomes.
For decades in SAAS, products reduced ambiguity. Users supplied constrained inputs, and the system handled the output. It's never been Minority Report cinematic, but it was predictable. By providing predictable environments for manipulating data, users learned by moving things, adjusting variables - and the outcome emerged through interaction.
Imagine a user opening a mental health app while feeling overwhelmed with anxiety. The very first thing they encounter is a screen with a bright, clashing colour scheme, followed by a notification shaming them for breaking a 5-day "mindfulness streak," and a paywall blocking the meditation they desperately need at that very moment. This experience isn't just poor design; it can be actively harmful. It betrays the user's vulnerability and erodes the very trust the app aims to build.
My role was straightforward: write queries (prompts and tasks) that would train AI agents to engage meaningfully with users. But as a UXer, one question immediately stood out - who are these users? Without a clear understanding of who the agent is interacting with, it's nearly impossible to create realistic queries that reflect how people engage with an agent. That's when I discovered a glitch in the task flow.
My role was straightforward: write queries (prompts and tasks) that would train AI agents to engage meaningfully with users. But as a UXer, one question immediately stood out - who are these users? Without a clear understanding of who the agent is interacting with, it's nearly impossible to create realistic queries that reflect how people engage with an agent. That's when I discovered a glitch in the task flow. There were no defined user archetypes guiding the query creation process. Team members were essentially reverse-engineering the work: you think of a task, write a query to help the agent execute it, and cross your fingers that it aligns with the needs of a hypothetical "ideal" user - one who might not even exist.