Fetch Rewards

Just scan your receipt, tap one button, and earn rewards.

About Fetch Rewards

Fetch Rewards is a mobile shopping platform that rewards shoppers for buying the brands they love. The Fetch Rewards app gives users the easiest way to save on everyday purchases by simply scanning their receipt. For our brand partners, the platform allows them to understand a 360 degree view of shopping habits, and to meaningfully reward a customer’s individual loyalty.

Business Objective


Project Structure

Before delving into the content, I wanted to start by highlighting how we structured the project.


My cross-functional partners

What I have done:
Usability testing, interviews, research, UX design, UI Design, components, wireframes, high fidelity mockups, prototypes

Tools I have used:
Pen & Paper, Figma, Protopie, Miro, Jira, Slack, and Caramel Frappuccino 😉

01. Discover

I wanted to learn about:

  • What Fetch shoppers like about other socially connected apps they might use (Venmo, Peloton)
  • What type of interactions they would be interested in having in Fetch
  • Deep dive into Fetch users thoughts and assumptions around points and offers (mental models)

02. Define


03. Develop

User flow

04. Design

High fidelity mock ups

05. Deliver

After the discovery stage and defining our goals based on our key findings, within 5 months we shipped our first MVP.

06. Evaluation

After launching our MVP, we conducted usability testing with 8 users, interviews with 10 users, and also reviewed our analytics.

Our success metrics:
– Social coefficient (growth rate and satisfaction) [invites sent by active users x completed referrals / all referrals sent] i*c
– Weekly / Monthly total friend requests sent
– Median # of friends per user

Usability Testing Key Findings

07. Reflection

After getting the usability testing feedback, we evaluated our entire user flow and the design and iterated.

08. Impact

After a successful release, we have meausred our success.

09. Future Steps

Over the next month, we will be scaling up the number of users as well as releasing: