Case Study
Assistly
AI Productivity App
TL;DR
Led user research and problem discovery to design an AI productivity assistant. Defined personas, mapped workflows, and structured an MVP balancing personalization with simplicity.
problem
The Problem
Cognitive overload kills productivity
Knowledge workers struggle to prioritize tasks when everything feels urgent. Existing productivity tools add complexity instead of reducing it — more features, more friction, more decisions.
- Users overwhelmed by too many tasks and no clear priority
- Existing tools add complexity instead of reducing cognitive load
- No personalization — same workflow for everyone regardless of work style
- Task completion rates drop as backlog grows
research
The Research
Understanding how people actually prioritize
I studied how different types of workers prioritize their day. The pattern: most people default to urgency over importance, and existing tools reinforce this bias instead of correcting it.
- Identified 3 user personas: Deadline-driven, Flow-state, and Planner
- Mapped daily workflows showing where cognitive overload hits
- Found that personalization (adapting to work style) was the most requested missing feature
solution
The MVP
An AI assistant that adapts to you
Designed an MVP that uses AI to learn user work patterns and suggest task prioritization that balances urgency with importance. The key differentiator: it adapts to your style instead of forcing a framework.
- AI-powered task prioritization adapting to individual work style
- Personalized daily planning based on energy patterns
- Simplified interface — 3 priorities per day, not an infinite backlog
- Smart notifications that respect focus time
impact
The Impact
Competition results
Presented at IIT Roorkee E-Summit. The product concept was evaluated on user research depth, MVP feasibility, and market positioning.
IIT Roorkee
Competition
3
User Personas
reflections
Reflections
The biggest insight: productivity tools should reduce decisions, not add them. If your tool requires users to learn a new system, you've already lost. The best productivity tool is invisible.
- Reduce decisions, don't add them
- Personalization is the moat in productivity tools
- The best tool is the one users don't think about