Batch Clustering + Theme Labels

Group dozens of feedback lines into themes you can route to teams, without building a data platform.

Batch processingIntent routingEnterprise

Jump to demo

Paste 10–20 feedback lines — theme labels to route to teams.

Technical notes

generateObject clusters at /api/demos/vercel-cluster.

Batch clustering + theme labels

Cluster 8 to 20 lines into business-usable themes without standing infrastructure.

Live

Case studyArchitecture, governance, and how to adapt this pattern in a pilot

Business use case

You don’t need a full ML pipeline to get value from 20 to 200 feedback lines. You need stable theme labels, a lightweight process, and a way to track drift.

Delivery playbookDiscovery → pilot → scale

1
Discovery2–4 wks
Agree what a “theme” means to ops/product; define maximum taxonomy size and owners.
2
Pilot6–8 wks
Cluster weekly feedback exports; validate labels and route to teams; track drift.
3
Scaleongoing
Persist themes; compare month-over-month and feed program dashboards.

Where else this appliesTheme clustering is the bridge between raw feedback and action. This pattern produces labels and mappings you can route without needing a data platform.

Voice of customer

Weekly clustering of survey comments into actionable themes.

Support ops

Cluster escalations into root cause buckets for leadership review.

Product ops

Group feature requests into roadmap categories quickly.

Risk triage

Surface legal/privacy complaints as a distinct theme.

Runs as a simple serverless batch route; combine with Workflow if you later need chunking, retries, and larger batches.