Mobile-first scheduling tool to help students & young professionals stay focused and organised in fast-changing project environments, while seamlessly aligning with Atlassian’s ecosystem.
👨💻 My Role
Led the end-to-end mobile experience
🤝 Team Collaboration
Worked with a team of 4
📅 Project Duration
13-week sprint (iOS app)
📱 Context & Overview
Temis is an AI-powered task coordination tool, helping users manage shifting priorities with less cognitive effort.
The mobile experience focused on glanceable updates, streamlined interactions, and context-aware automation to support real-time task decisions with minimal effort.
🏆 Temis was the sole recipient of the Atlassian Award, recognised by Atlassian’s design team.
Problem & Challenges
Managing Tasks in Dynamic Workflows
Students and early-career professionals often juggle multiple tools (e.g., Jira, Notion, Outlook) to manage their tasks. However, these tools are:
• Disjointed — lacking integration across project & daily views
• Rigid — difficult to adjust priorities in real time
• Mentally taxing — requiring constant manual updates
–Stakeholder Discovery Session with Atlassian
To address these challenges, we designed an adaptive task coordination strategy that connects:
Manage task progress across projects
Auto-generate daily tasks, adapt to priority shifts
Help users stay on track with minimal effort
Key Solutions
Designing for Clarity and Adaptability in Daily Task Coordination
To simplify daily task coordination for dynamic work environments, we focused on three core design strategies: clarity, adaptability, and user control.
Project outcome
🏆 Innovation Recognised by Atlassian & USYD
First Place in Atlassian’s Open Jury for its clear problem-solving and tangible user value.
Our approach to simplifying task coordination not only addressed key user pain points but also gained recognition for its strategic clarity and user value.
🗣️ “We were genuinely impressed by how your team delivered such a solid, comprehensive, and convincing design proposal within just 13 weeks. The concept was clear, the execution felt complete, and every decision made sense.”
— Mauricio Wolff, Lead Product Designer at Atlassian
-Meet Temis Fabulous Team
-Atlassian Presentation Day
-Atlassian Award
Design process
From User Pain Points to Adaptive Task Solutions
A research-driven design process to streamline task coordination and enhance user flexibility.
Step 1 - Discover User Needs
Identifying key coordination challenges
Step 2 - Design Adaptive Solutions
Step 3 - Validate & Refine
Challenges faced by users
Understanding Our Users
We surveyed 46 participants and interviewed 7 individuals to understand the task management challenges and preferences of university students and young professionals.
- Affinity diagram (click to see full image)
We realised that
Current Practices and Pain Points
To better understand our users, we examined their current workflows and tools. This revealed inefficiencies and challenges that shaped our design approach, guiding the creation of solutions to streamline task management and improve productivity.
Understanding the core challenges
3 Main Challenges Identified
Through surveys and interviews, we identified key challenges users face in managing tasks and time effectively.
“I may ignore urgent tasks for enjoyable ones”
“I know I should work on urgent tasks, but I end up doing the easier ones just to feel productive.”
Meet our potential users
User Persona
We created these personas to illustrate the unique challenges, motivations, and behaviors of our diverse user base. By understanding their needs, we can craft solutions that address real pain points and foster better task management outcomes.
Andre's journey
Mapping the User Experience
Understanding the user journey helped us identify pain points and optimise workflow efficiency.
- Andre user journey map
Key Challenge:
Andre, a full-time marketing professional, struggles to balance team meetings, reports, and personal tasks while keeping track of his deadlines. He often relies on manual scheduling, leading to missed deadlines and inefficient task prioritisation.
Solution Approach:
Implemented AI-driven task automation to generate daily to-do lists.
Designed an adaptive scheduling assistant that adjusts priorities based on deadlines and past behaviour.
Introduced smart task suggestions to help Andre stay on track and minimise procrastination.
Why this Matters:
This solution highlights how AI-powered scheduling enhances productivity, making daily task management more intuitive, organised, and stress-free for professionals like Andre.
Design iteration
Refining the mobile experience through user feedback
Through multiple rounds of user testing and cognitive walkthroughs, we continuously refined the interface, navigation, and task flow to improve scheduling clarity and reduce friction in the project experience.
Designing beyond features
🧠 Design Mindset – Responsive, Not Reduced
This project taught me that effective mobile design isn’t about reducing features. It’s about designing for responsiveness and clarity.
I learned how to balance AI automation with human control, using micro-interactions and timing to help users make decisions with less effort.
It reinforced my belief that good design should feel supportive — not overwhelming.
✅ Key Takeaways
Designed for responsiveness, surfacing only the most relevant information at the right moment.
Refined how visual hierarchy and interaction timing support decision-making on mobile.
Balanced automation and human control with smart defaults and quick edits.
