


Understand the Problem & Generate Early Concepts
– QC Reviewer

Original label panel UI, where users struggled with click targets, visibility, and navigation.
Meta-QC Reviewer

Fragmented error reporting process outside the tool.
QC Reviewer

Label-heavy UI that caused visual overload in dense review tasks.
QC Reviewer

Attribute filtering options that failed to support reviewer needs.
Concept 1: LabelCategory Overview & Organization
•Display a high-level summary of each LabelCategory, with counts (e.g., Pedestrians: 34, Vehicles: 15)

Solved for visual overload by showing information only when needed.
•Attributes are hidden by default to reduce clutter

Concept showing contextual reveal of label attributes upon selection.
Designed to reduce context switching and improve speed of error reporting.

In-frame feedback interaction, replacing text entry with direct label marking.

Batch feedback tool supporting label category- or frame-wide actions.
Concept 5: Multi-Select Attribute Filtering with Search

Enhanced filter UI with multi-select and auto-complete functionality.
With early design concepts developed, Phase 2 focused on validating the proposed solutions through in-depth, structured feedback. I conducted 15 one-on-one research sessions with stakeholders to assess usability, value, and feasibility of the features—and to inform prioritization with both qualitative and quantitative input.
Provided estimates on technical effort for each feature. Helped evaluate trade-offs between feasibility and user impact during prioritization exercises.
Collaborated to identify opportunities for automation and scalable improvements via ML-assisted tooling.
Goal: Understand perceived usefulness of each feature in improving job efficiency and annotation accuracy.

Feature rating scale used with end users to assess perceived value of each proposed concept.
Goal: Estimate implementation effort for each feature.

Technical evaluation worksheet used during 1:1 sessions with engineers.

Final prioritization matrix used to align the product team on high-impact, feasible improvements.
