Lave Laundry Service
Lave is a seamless laundry service app designed to simplify busy lives. Users can schedule laundry pickups and deliveries, that drivers will then deliver and return to the customer after the clothes are washed.
Timeline
3 months
The Team
2 UI/UX Designers
1 Project Manager
My Role
UX Research
UI Design
Tools
Figma
Userbot
Miro
Chatgpt
Problem
Lave faces challenges in retaining customers and attracting new ones due to limited promotions and incentives.
Solution
Provide targeted offers and loyalty rewards to boost engagement, attract users, and drive growth.
Takeaways
Promotions are the priority!
Promotions should be easy to spot and redeemable at all times.
Allow users to apply promotions at different stages throughout the user process.
Whats the difference?
Highlight promotions and how they are different from normal actions
Updating and changing promotions will make them exclusive, causing users to use them more.
Designs
Added features include, notifications page, promotions tab at checkout, driver hotspots, etc.
Testing
Due to time constraints and our NDA we decided to use a testing website called Userbot. For each flow we asked questions and gave users a certain amount of time to go through each flow.
Findings
Solution


Findings
Solution
Learnings
Earlier testing
Through earlier testing we would be able to save ourselves some time with reiterating designs. Testing throughout the process would help to make sure we are staying on track so we don’t have to do as much redesigning.
Organization is optimization
Having three different prototypes for three different users can make it easy to mix up ideas. By keeping a clean work path you can make sure you are always working on and talking about the right things.
I would love to connect, reach out to mcglynnc22@gmail.com