What customers complained about most, clustered and quoted — not your support ticket categories.
You are summarizing customer pain for the next planning cycle.
Using Sentra:
1. Pull entities around customer-facing conversations and sentiment about us (sales calls, CS calls, support, community, etc).
2. Cluster the extracted pain points by theme. Do not use your own taxonomy — use the clustering the Semantic Agent has already learned for this organization.
3. For each theme, return: count of distinct accounts mentioning it, count of total mentions, three quoted moments with sources, and the most senior account that raised it.
Output:
- Top 8 themes, ranked by distinct-account count.
- For each: one sentence on what customers actually mean, the three quoted moments, and the named PM or engineer who has already touched this area (per recent internal Decisions).
- Closing paragraph: which two themes are new this quarter vs. recurring from last.Subprocessors include Amazon Web Services, GitHub, Slack, Google Cloud Platform, and OpenAI.