Pick the best clustering lens for messy beta feedback
Choose the strongest first-pass clustering approach when AI beta feedback spans channels, sentiments, and feature asks.
You have mixed-source pilot feedback for an AI drafting tool and need a first-pass clustering method that supports prioritization, not just reporting. CLUSTERING DECISION Which lens is strongest? Group comments by channel so the team can see whether Slack, surveys, or calls produced the most feedback. This is operationally neat but analytically weak. Channel tells you where the comment was captured, not what product problem it points to. Group comments by feature requested so you can count demand for each idea. This is tempting, but it locks you into surface asks too early. Different requests can point to the same…
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