Modernizing scheduling software
TEAM Software, a 30 year old software company specializing in workforce management, is facing a growing landscape of competitors. They needed help building the foundation for a next-generation product while transitioning to an agile design and development process.
CHALLENGE
Security and cleaning service companies oversee hundreds of staff across multiple worksites. Scheduling manager's daily lives were painful, with long hours and tedious tasks.
SOLUTION
We set out to design the best scheduling software in the marketplace that would transform the way people worked.
ROLE & DURATION
UX Designer & Researcher
8 Weeks, 2 week design sprints
CONSTRAINTS & TEAM
20 year old waterfall product
Leadership: 1 Vice President, 1 Design Director
Peers: 3 Product Managers, 1 Product Designer, 1 Visual Designer, 8 Engineers, 2 QAs
"What is the MVP that will deliver the most value to our primary users?"
DISCOVERY
Personas and a landscape review aligned the team and were used to gain project backing company-wide. These informed our design and team principles. (The Scrum team even named itself after their primary persona: Javi's Heroes.)
IDEATION
As a team of two designers, we divided the work by mobile and desktop experiences while maintaining close collaboration. I rapidly explored a wide variety of ideas for the mobile app with data models and sketches; recording our assumptions along the way.
Focused task management
Scheduling managers are overwhelmed with competing tasks, opting for analog methods over their existing arduous digital tools. Our new scheduling and time management solution put users at ease and allowed them to focus on key workflows.
BEFORE
AFTER
Scheduling on the go
Scheduling managers were often working in the field. We designed for key mobile scenarios like task completion and lookup.
Because their workday was often very glum, we created moments of interactive delight throughout the experience. Rosie the robot helped them celebrate their day-to-day successes, and paved the way for future AI features with automated scheduling.
