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Survey App

Industry
Retail · Project Management
Project Type
MOBILE APP
Survey App showcase

Project Description

A geofenced mobile survey platform, currently in development for Big Red Rooster Flow, that runs and tracks multi-site imaging projects from the field. We are designing it around field reality: location-verified data capture that holds up even where connectivity is patchy, then gets back for review fast.

Survey App overview

Problem

Multi-site imaging projects span dozens of locations, each with its own survey workflows and appointment dependencies, and field teams often work in areas with patchy connectivity. That makes accurate, on-location data capture hard to control and slow to review.

  • Location accuracy: there was no reliable way to confirm a survey was completed at the correct site.
  • Connectivity gaps: field teams lose data when working in offline or low-signal environments.
  • Slow turnaround: delayed, batched submissions push back reviews and decisions.

Solution

We are building a cross-platform mobile app with geofencing, offline-first storage, and instant submission, paired with a web portal for survey configuration and review.

  • Geofencing for location-verified, precise data collection and management.
  • On-device storage that keeps survey data safe until submission, even fully offline.
  • Instant submission with editable, project-adaptable survey forms for timely review and decisions.

Design Process

From discovery through delivery: research interviews, information architecture, wireframes, hi-fidelity UI, and developer handoff. Each gate was validated before the next began.

Style Guide & Components

Style guide visual

The Result

The app is taking shape as a secure, offline-capable survey solution that brings geofenced precision and real-time insight to multi-site imaging projects. It is in active development for iOS and Android.

Survey App final

Shaping Experiences That Make Life Simpler

Webority is a design studio focused on building clean, intuitive interfaces that solve real-world problems.

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