FIGR / UI TEMPLATE

Model Evaluation Run Comparison

Compare quality, latency and regression metrics across model versions.

This analytics template covers ai product operations & evaluation workflows inside an existing product. All people, records and metrics shown are fictional.

Model Evaluation Run Comparison

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At a glance

Screen

Analytics

Primary action

Compare model runs

Pattern

analytics workflow

State

Default, Selected, Filtered, Empty, Warning, Success

Design system

Independent product UI reference; no external / 1mg design system

What this screen helps with

Compare quality, latency and regression metrics across model versions. The user needs to compare model runs without losing context.

What to look for

Product areas: AI Overview, Evaluations, Runs, Datasets, Policies. Task fields: AI Product Operations record, Assigned owner, Product area, Review status. Example metrics: Active records, Items needing review, Within policy, Upcoming deadlines.

States to consider

Default, Selected, Filtered, Empty, Warning, Success. Also cover restricted access, interrupted saves and missing or stale data when relevant.

Where it fits

AI Overview → Model Evaluation Run Comparison → Compare model runs

Patterns in this screen

analytics, filters, status, record details, review actions

UX choices to review

Show reporting periods, denominators, source freshness and why values changed. Distinguish zero from delayed or missing data.

Review compare model runs with a case such as RUN-402 · model v4.2. Make room for empty, warning, permission-denied and failed-save states.

Try a similar screen in Figr

Adapt Model Evaluation Run Comparison to my existing product and design system. Keep our current screens, components and role rules. Explore default, selected, filtered, empty, warning, success and relevant edge cases before generating editable Figma-ready UI.

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