Tools Used: Figma | Figjam | Miro | Whimscical | Notion
My Role: Ui Designer | User Researcher | Ux Designer
Residents living in PGs, hostels, and rental flats in Tier 1 and Tier 2 Indian cities often face difficulties in accessing reliable and timely laundry and ironing services. Traditional options are either unavailable, unorganized, or lack digital convenience like order tracking, communication, or scheduling.
To solve the issue of unavailability in certain areas, we introduced a "Request Service in Your Area" page. This feature allows users to submit their location and service need when no nearby providers are available. Additionally, users can provide their contact details and opt in to be notified when a provider becomes available.
As i began shaping Neatzy, a smart laundry app designed for young city dwellers, i knew that the first step had to be deeply understanding users.
So, i turned to those who know the struggle best—students and working professionals living in PGs, hostels, or rented flats across Tier 1 & Tier 2 cities. By finding how they manage their laundry and what frustrates them the most. Most of them in their 20s and early 30s, balancing busy schedules, shared spaces, and daily chores.
Based on user needs i created user persona that reflects user's pain points and goals regarding to daily laundry routine.
From understanding problems (user research) to brainstorming and shaping solutions :
Based on persona, user needs a hassle-free way to manage her laundry with reliable pickup/delivery, real-time tracking, and service availability in her area—without constantly following up.
Listing core features that will solve the users’ problems. For Neatzy:
Image 1 & 2: User Flow
I designed user flow for Customer and Service Provider to help streamline the user journey, ensuring that users can complete tasks efficiently and with minimal friction.
Image 3: Site Map
This site map is built for both user's and provider's point of view, it indicates both navigation flow.
Users can interact with a design that closely resembles the final product, providing more reliable feedback on its usability and functionality.