FIGR / UI TEMPLATE

On-Time Transit Analytics

Compare schedule adherence and headway reliability by route and daypart.

Explore this analytics as a reference for Public Transit & Mobility software. Review a real workflow and its UX states, then adapt the design to your product. All sample records are fictional.

On-Time Transit Analytics

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At a glance

Screen

Analytics

Primary action

Analyze punctuality

Pattern

analytics product workflow

State

Default, selected, filtered, empty, warning, error and success

Design system

Independent product UI reference; no 1mg design system

What this screen helps with

Compare schedule adherence and headway reliability by route and daypart.

What to look for

Core sections: Operations, Routes, Staff, Riders, Insights. Key action: Analyze punctuality. Example records: Route 42 · 81% on-time; Blue Line · 92%.

States to consider

Default, selected, filtered, empty, warning, error and success. Where relevant, cover restricted access, stale data, save failures and conflicting changes.

Where it fits

Operations → On-Time Transit Analytics → Analyze punctuality

Patterns in this screen

analytics, status labels, filtering, record details

UX choices to review

Show metric definitions, time ranges and data freshness. Separate missing data from genuine zero values.

Check how the analyze punctuality task works with example cases like Route 42 · 81% on-time. Include clear recovery actions when a record is missing or a change fails.

Try a similar screen in Figr

Adapt the On-Time Transit Analytics workflow to my existing product and design system. Keep our current screens, components, roles and business rules. Review missing states and edge cases before generating editable screens.

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