Case Study: Momentum AI Task Manager
Momentum is an AI-driven SaaS platform designed to streamline task management and scheduling for professionals and teams. By integrating artificial intelligence, Momentum optimizes workflows, automates repetitive tasks, and enhances productivity through smart prioritization.
PROTOTYPE
Problem Statement
In today's fast-paced work environment, professionals struggle with managing their daily schedules efficiently. Common issues include:
Task overload: Too many responsibilities without clear prioritization.
Inefficient workflows: Manual scheduling wastes time.
Lack of collaboration: Disconnected tools lead to miscommunication.
Solution
Momentum leverages AI to provide a seamless and intuitive task management experience. The platform:
✔ Auto-prioritizes tasks based on urgency, deadlines, and workload.
✔ Suggests optimal schedules to maximize productivity.
✔ Syncs with calendar apps for real-time scheduling.
✔ Enhances team collaboration through shared task views and smart notifications.
Design Process
1. Research & User Insights
To build an effective task manager, I conducted:
🔹 Competitor Analysis – Analyzed tools like Asana, Todoist, and Motion to identify UX gaps.
🔹 User Interviews – Gathered insights from freelancers, managers, and teams on their pain points.
🔹 Persona Development – Defined two key user types
🔹The Busy Professional – Needs auto-prioritization and effortless scheduling.
🔹The Team Lead – Seeks a collaborative, AI-enhanced system.
2. UX Strategy & Wireframing
The core UX goal was efficiency with minimal friction. Key wireframe decisions:
✅ Dashboard-first approach – Users see tasks and AI suggestions instantly.
✅ One-click scheduling – AI recommends optimal work slots.
✅ Collaboration tools – Shared task lists and progress tracking.
UI Design & Key Features
1. Minimalist, Distraction-Free UI
The design follows a clean, modern aesthetic with:
✔ A dark & light mode toggle for better accessibility.
✔ Soft gradients & rounded elements for a friendly, modern feel.
✔ Intuitive iconography to simplify navigation.
2. AI-Driven Smart Scheduling
AI suggests best work hours based on patterns.
Users can drag & drop tasks into auto-optimized slots.
Smart notifications reduce unnecessary alerts.
3. Seamless Collaboration
Task sharing allows team members to track progress.
Real-time syncing across multiple devices.
Automated reminders keep teams aligned.
Results & Impact
The final product improved task efficiency and user satisfaction by:
📌 Reducing manual scheduling time by 40% with AI automation.
📌 Increasing task completion rates by 30% through better prioritization.
📌 Enhancing user engagement with a sleek, intuitive interface.
Conclusion & Takeaways
Momentum redefines task management by combining AI intelligence with a seamless UX. The project reinforced key UX principles:
✔ Simplicity wins – Users prefer intuitive over complex tools.
✔ AI should empower, not replace – Users trust AI but need manual control.
✔ Collaboration drives productivity – A shared system enhances efficiency.
This case study highlights how AI, minimalistic design, and user-centric UX can elevate productivity tools.
Available