Group AI pilot feedback into problem-centered clusters that reveal root causes instead of feature wish lists.
The reframe: cluster for cause, not for wording. Affinity-style feedback clustering is useful when the team is drowning in comments that sound unrelated on the surface. The goal is not to create pretty buckets. It is to discover which observations belong to the same underlying issue. That underlying issue is what the roadmap should respond to. AI feedback especially benefits from this because requests are often proxies. A user asking for a manual override may really be telling you the model is overconfident. A request for more source detail may actually be a signal that the output is difficult to…
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