I am genuinely trying to figure out how other product folks handle this. You run feedback through an AI. You get a summary. Sure. But what are you still doing before that result drives a real product decision? We never know if we are missing some obvious step in our own daily workflow.
What’s one recent tool or process change that made it easier to decide what to build next?
I run into this question a lot and I'd love to compare notes with anyone running a medical billing operation that handles multiple US practices. Specifically, the thing where your team has to ask a client practice for updated insurance info.
Think about the last time your team sent one of those requests. Did the first reply actually land with what you needed? And if not, what was missing? What did your folks end up doing to get something usable back?
I'm curious about volume too. Roughly how many of those requests needed a follow-up last week?
Maybe you've got a template or a checklist or some tracking system keeping things tidy. Does it actually hold up, or do things still slip through occasionally?
And look, if your process already works without much chasing, that's a helpful answer too.
I'm researching this workflow to understand the real problem before deciding whether anything is worth building. I'm not selling anything in this post.
If you've got a recent example, I'd really appreciate hearing it. I'm trying to figure out what genuinely unblocks these cases compared to what just feels like progress.
One small ask, though. Please keep patient details out of comments and messages.