Back to work

Case Study

Assistly

AI Productivity App

Role: Product LeadTimeline: 2025Team: IIT Roorkee E-Summit Competition

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.

View Document

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