Problem:
Fin AI Agent tags individual conversations with a "Fin referenced memory" event when Fin draws on stored memory to respond. That event is visible at the conversation level, but it's not exposed anywhere in reporting. The Fin AI Agent Analyze dashboard shows resolution rate, CX score, and involvement rate, but there's no way to filter or segment any of those metrics by whether memory was used.
What we'd like to see:
Turn the existing "Fin referenced memory" event into a reportable attribute, similar to how other conversation-level tags already feed into Analyze. Since the tagging already happens at the conversation level, this would mainly be a matter of surfacing that field for filtering and segmentation rather than building new tracking from scratch.
Why it matters:
Without this, teams have no way to measure whether Fin Memory is actually helping resolution rates, hurting them, or making no difference. Right now the only way to check is opening conversations one at a time and looking at the event log, which doesn't scale for anyone trying to evaluate memory as a feature. Being able to compare memory vs. non-memory conversations on resolution rate and CX score would let teams make an informed call on whether to keep leaning into it.