Transforming Voucher Redemption
Drawing on my experience from Digikala
Design for
Mobile
App
OVERVIEW
MY ROLE
Product Designer - Wireframing, Prototyping, User Flows, Product Design, Research
OUR TEAM
1 Designer, 2 Product Leads, 1 Product Managers, 5 Engineers, 1 CX Researcher
Business Problem
Data Gathering
What is making the voucher flow hard to use?
How are these discounts currently being used?
How does the current design compare to industry best practices?
How much is this revenue opportunity?
Why their discount code are seldom utilized?
Step 1: Owner Interview
🔸 Who are your targets? What’s your metric to choose a user as a target?
All Users but we want more new users as well!
Our metrics are recency and retention to choose users.
🔸 How much discount codes you’re sending right now?
1 discount per user, and we send them once a week in average to 500K users
🔸 What’s your average CR?
It’s between 3-5%
sometimes even 0.5
🔸 What are your concerns about vouchers?
Reducing SMS costs. It's preferred not to mention the basket minimum in the SMS.
Currently, we’re not displaying error correctly
🔸 What’s your need?
Make it easy for users to use their voucher code. As an example it’d be awesome to have access in profile
Step 2: Data Dashboard Review
Error types
Step 3: CX Team Interview
📊 How users get aware of discount codes?
SMS - 79.%
Discount Center in Super-app - 17.2%
From Friends - 12.8%
📊 What are users main problems with this codes?
They couldn’t find it - 42.5%
The message was deleted - 20.6%
They lost codes - 12.8%
They didn’t know where to find - 12.8%
Problem Statement
BREAKDOWN OF PROBLEM
🔎 They can not find codes easily
🐨 Users are lazy :)
🤷🏻♀️ Errors were just errors!
💅🏽 There were not any personalization
An Overview to the Previous Flow
Setting Success Metrics
Ideation
Our analysis showed that many new users didn’t even reach the cart stage. To engage new users, it’s essential to provide the discount code repeatedly and throughout the purchase journey. This is the case study related to this
Reviewing Ideas
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Profile
Checkout
Thinking About an MVP
Validating Assumptions
Improved Error Messaging Reduces Abandonment
Displaying Discounts in Multiple Locations Will Improve Redemption Rates
Users Abandon Checkout Due to Difficulty Finding Discount Codes
Outcomes
Success Metric
6 to 8%
discount conversion rates
Success Metric
20%
Clear error messages reduced abandonment rates
Success Metric
18%
An average increase on each error type CR
Challenges
Lessons
1
Defining an MVP
Although it may seem straightforward, there were many steps that I was overthinking. I was proposing ideas for features that could simplify the problem, but I was also trying to expand its scope, which wasn’t really necessary. I learned how to define and adhere to an MVP plan for a feature, and how to incorporate my ideas as next steps in a design document.
2
Target Selection is Crucial
In reviewing the data for this project, I realized that I cannot implement a single solution for all users to increase the conversion rate of discount codes. I need to divide users into two distinct groups and design behavior based on the user type.