I've been thinking about this idea of using agents to handle the messy part of the research phase. The whole point is that an agent can take a client brief and spit out a structured PRD in ten minutes, which sounds great until you realize how much junk gets into those initial docs. It mentions this example about management wanting a campground app to fix parking issues when the real problem might be something else entirely. If we're just using AI to synthesize assumptions without actually doing the legwork, we're just automating bad decisions. The claim is that it
removes the excuse for skipping discovery, but I worry it just makes it easier to skip the hard part of questioning the client. It's fine if the output isn't the point and only the review matters, but I don't see how we avoid the
garbage in, garbage out trap when the automation is that fast.
https://uxdesign.cc/nothing-has-changed-other-than-how-we-talk-about-it-fcc554e853aa?source=rss----138adf9c44c---4