# Making food screening results easier to understand

Xpectrum combines near-infrared spectroscopy, cloud technology and machine learning to screen food samples for quality issues and fraud. We helped define the UX and design a modern interface for this complex process.

**Product Type:** NIR spectroscopy application  
**Industry:** Food quality & retail technology  
**Timeframe:** 2019  
**Role:** UX & UI design

**Scope:** Stakeholder meetings, Benchmarking, Content exploration, UX wireframing, UI design, Usability testing

![Xpectrum dashboard interface with measurement summaries, charts and quick actions against a pastel gradient background.](https://superflow.design/_astro/xpectrum2.BVFJTMGh.webp)

## The challenge.

Food screening involves complex technical information, while quality checks can be costly and labour-intensive. The app needed to make measurements and results understandable for use across distribution centres, field work and on-site visits.

## The key decision.

We explored the content and stakeholder requirements before defining the UX and interface, focusing on presenting complex screening information in a usable application.

## The rejected option & why.

A specific rejected alternative is not documented for this project.

## The outcome.

The engagement provided UX definition and UI design for Xpectrum’s food-screening application, supported by wireframing and usability testing.

## Supporting images

![Xpectrum design overview with branding, a dashboard and connected interface flows.](https://superflow.design/_astro/xpectrum1.DTOEuy1R.webp)

![Xpectrum dashboard variant showing a table of measurements, results and sample statuses.](https://superflow.design/_astro/xpectrum4.CoUGiE5s.webp)

## The final verdict.

The design work translated a specialist screening process into an interface intended to make results easier to access and understand. The platform’s broader goal was to support more scalable food-quality checks.

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