Genuinely curious what people think about AI being applied to mobile user behavior analysis. Not the “we added a chatbot to our dashboard” kind, I mean AI that watches actual session recordings of users interacting with an app and identifies behavioral patterns like confusion, frustration, or drop off causes. We’ve been testing this with an AI analyst feature in uxcam called tara. You ask it something like “why are users abandoning checkout” and it pulls specific screens, clips of users exhibiting the problematic behavior, and a description of the pattern. In our case it identified that a CTA was blending into the background on certain device themes and users were scrolling right past it. Not something you’d easily catch with event tracking alone. The false positive rate is maybe 20-30% which isn’t perfect, but the alternative was nobody on the team watching recordings at all because it’s too time consuming. So the comparison isn’t AI vs expert analyst, it’s AI vs nothing. In that frame it’s clearly useful. What I’d add is that the quality of the AI output seems to depend heavily on how much behavioral data it has to work from. More data points per session means better pattern recognition, which is the real differentiator between tools doing this. What I’m wondering is whether this kind of behavioral pattern recognition from video data has legs as a broader AI application or if it’s too niche to matter outside of product analytics. submitted by /u/The_possessed_YT
Originally posted by u/The_possessed_YT on r/ArtificialInteligence