Use cases
Product

Top customer pain themes this quarter

What customers complained about most, clustered and quoted — not your support ticket categories.

Best for
Quarterly roadmap reviews
Primitives
  • Interactions
  • Themes
  • Accounts
Side by side

Token Usage, with and without Sentra

~220k tokens saved79% less work for the agent

Without Sentra
~280k tokens
With Sentra
~60k tokens
Claude (without Sentra)
  1. Pull every customer-facing interaction last quarter from CS, support, sales discovery, and community.
  2. Read each for pain-shaped moments — negative sentiment, feature gaps, blockers in their workflow.
  3. Tag each moment with a theme manually. Build the taxonomy on the fly.
  4. Aggregate counts per theme. Distinct accounts vs. total mentions.
  5. Pick the three most-quoted moments per theme — re-skim transcripts to verify verbatim.
  6. Cross-reference internal decisions to find the named PM or engineer who's touched each area.
  7. Compare against last quarter's themes to identify what's new vs. recurring.
  8. Compose the top-8 ranking with citations.
~280k tokens
Claude + Sentra
  1. Pull Interactions where surface = customer-facing, last quarter, with Decision/Rationale polarity = concern.
  2. Cluster by Theme — Sentra's Semantic Agent has already learned the org's vocabulary.
  3. For each theme: count distinct Accounts, count total mentions, top three quoted moments with sources.
  4. Pull recent internal Decisions to identify the named PM or engineer who's touched each area.
  5. Diff against last quarter's themes — Theme trajectory is tracked.
  6. Compose the ranking.
~60k tokens
Agent prompt
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.
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