Pull all customer feedback from the last 60 days across support tickets, Slack, and sales notes, cluster it into themes, and rank the themes by how often they show up and how much revenue they touch so I can take a priority list to planning.

Gathering feedback from the last 60 days across support, Intercom, and the sales channel.

Collecting feedback3 steps

Export tagged tickets (60 days)

Pull Intercom conversations with feature asks

Scan #sales-feedback for lost-deal reasons

Clustering 348 pieces of feedback into themes and joining each to account revenue.

Clustered 311 unique pieces of feedback into 7 themes. The two that lead on both frequency and revenue are SSO/SCIM (61 mentions, $420k ARR touched) and bulk CSV export (54 mentions, $280k, and it shows up across the most accounts). Granular roles is lower volume but high ARR - it's the most common reason cited in lost-deal notes. I ranked everything by mentions × ARR and drafted a priority list for planning.

Create discovery issues for the top 3 themes

Opens a scoping issue per theme with the linked feedback and ARR attached.

Draft · not sent

⠇ThinkingESC to interrupt

Waiting for LLM...·0ms·- tok/s·1/45

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