Context Collapse
Context collapse happens when an AI system loses track of important information it needs to give a relevant, coherent response — treating a conversation, user, or situation as if it has no history or background, even when it should. In AI/UX, this often shows up as the system “forgetting” earlier parts of a conversation, missing situational nuance, or responding to very different users or scenarios in the exact same generic way.
(The term originally comes from social media research, where it described how platforms flatten many different audiences — friends, family, coworkers — into one single feed, causing people to lose control over who sees what. In AI product design today, it’s been repurposed to describe a similar loss of context, but inside a conversation or system, not a social feed.)
Service Design
Service design is the practice of designing the entire end-to-end experience of a service — including every touchpoint, person, process, and system involved — so that it works smoothly for both the customer and the organization delivering it. Unlike UX design, which often focuses on a single digital product (like an app or website), service design zooms out to look at the whole journey, including things that happen offline, behind the scenes, or across multiple channels.