Perception Analytics

B to B desktop app

Work: Product design, User research, Design system

Role: Contract

Team: Head of design, Product Manager, Technical Product Manager, Front-end developers, Back-end developers

 

Kespry is a domestic manufacturer of drones and has an app for their clients to access their collected flight data.

The Problem: Users did not know how to feasibly review or search their flight data for actionable insights.

 
 

Primary Research

Over many Zoom calls, we asked Kespry’s international clients about their data and how they needed to use it. In addition to drone data, clients also had images, video, and thermographic data collected from submersibles, quadrupeds, and other robotics. No two companies were alike in how they currently analyzed their visual data. Some were already using industry ML models, and others had plans to do so. I defined our lead persona as a maintenance engineer - probably one of a team - responsible for maintaining facilities and equipment.

I designed over 15 journey maps that took place over several industries.

 
 

Bringing the product into focus

Kespry would funnel the visual data from clients into an app and apply the ML models to analyze and predict any trends or alarms. The maintenance engineer persona would use the initial LA and GA features to import visual data and perform high level analytics on equipment and facilities.

 
 

I created some basic flows to define the initial release.

 
 

Wireframes

I created rough interfaces to frame an achievable scope for the LA release.

 
 

Finessing the UI, applying the brand

Once the basic features were mapped out, I applied the visual design and updated the brand with a light hand. The LA and later GA releases became a successful SaaS add-on product sold to a large percentage of Kespry’s customer base.