Label Insights

Problem

Labeling work was slow and opaque, which blocked model quality and day-to-day product decisions.

Constraints

Internal tooling limits, varied document types, and the need for speed without sacrificing accuracy.

Process

Observe labeling sessions, strip redundant steps, and design a focused status-and-throughput experience.

The turning-point decision

Optimize for labeler throughput and clarity—not for feature density.

Final solution

A streamlined Label Insights workflow with clearer status, review, and completion paths.

Measured outcome

A streamlined labeling experience that reduced repetitive effort and supported higher-quality training data.