FIGR / UI TEMPLATE

Food Yield Variance Dashboard

Monitor processing losses, pack weights and throughput variation.

Explore how teams explore insights in Food Processing & Quality Assurance software. This analytics shows records such as Line A 95% yield and Line B 91% yield. Adapt the flow to your own product and design system. All data is fictional.

Food Yield Variance Dashboard

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At a glance

Screen

Analytics

Primary action

Explore insights

Pattern

analytics with searchable sample records and selected-record details

State

Default, Selected, Filtered, Empty, Loading, Warning, Error, Success

Design system

Independent product UI reference; no 1mg design-system assets

What this screen helps with

Review Line A 95% yield and Line B 91% yield, spot issues and explore insights while retaining the current owner and status.

What to look for

  • Sample records: Line A 95% yield; Line B 91% yield.
  • Owners: Quality Lead and Plant Supervisor.
  • Area: Plant A.
  • Sample metric: Monitored groups (37, fictional).
  • Primary action: Explore insights.

States to consider

  • Default: show the sample analytics and four example records.
  • Selected: inspect Line A 95% yield.
  • Filtered: show only on target items or text matches.
  • Empty: show a clear reset.
  • Loading: keep the layout steady.
  • Warning: flag items that need review.
  • Error: explain failure and offer retry.
  • Success: confirm explore insights.

Where it fits

Production → Quality → Explore insights

Patterns in this screen

analytics, record selection, search, filters, status chips, task feedback

UX choices to review

Label the metric period and units; distinguish missing values from zero.

  • Keep Line A 95% yield tied to Quality Lead in Plant A.
  • Separate On target from At risk so users can spot what still needs work.
  • Explain any failed save and let users retry without losing their work.

Try a similar screen in Figr

Adapt Food Yield Variance Dashboard inside our existing product. First inspect our screens, flows, permissions, components and design tokens. Help us explore insights using examples like Line A 95% yield and Line B 91% yield. Compare two layouts, cover default, selected, filtered, empty, loading, warning, error and success states, then create an editable UI our designers can keep working on. Treat the example records as fictional.

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