mAy-I
Monitor and enhance the in-store experience.
Overview
Web
Dashboard
B2B
SaaS
Timeline
Feb 2021 - Jun 2023
Role
Product Designer
Company
mAy-I
Contribution
100%
mAy-I is a startup that leverages AI to track visitor data in retail environments, enabling clients to monitor and enhance the in-store experience.
As the product designer, I designed a data dashboard to help clients gain actionable insights from this information.
About mAy-I
mAy-I works with companies that operate physical retail stores, such as Nike, Lush, and Mercedes-Benz.
The process begins with receiving real-time CCTV footage from these stores.
mAy-I uses in-house AI to analyze the footage and extract visitor data,
including gender, age, visit times, and dwell time in different areas of the store.
The analyzed data is presented to clients through a dashboard.
Clients use this dashboard to view visitor data from their physical stores,
develop marketing strategies, and measure the effectiveness of in-store events based on the data.
I worked on designing the core features during my first few weeks at the company.
Problem
As a result, inactive clients chose not to renew their contracts, causing us to lose clients continuously.
Plan
I planned a series of steps to diagnose the issue and find an effective solution.
RESEARCH
Interview
The first step in identifying the cause was to understand our customers, their businesses, and the challenges they face.
I conducted interviews to gain insights into their work patterns, concerns, and feedback on our product.
DEFINE
Problems
After conducting several interviews and follow-up questions, I identified the core issue:
Clients are uncertain about how to effectively use in-store customer data,
as it is a new concept for their business.
IDEATION
Enable clients to explore data freely.
Although clients were unsure how to utilize the data, they showed strong curiosity about their in-store customers.
This meant that if we enabled them to explore the data freely, they could discover valuable insights on their own.
Based on this, we decided to create an “Analytics” feature that allows users to explore data in various formats at their discretion.
USABILITY TEST
Users had difficulty utilizing the new feature.
After completing the prototype for the new analysis feature,
I recruited participants from a community of working professionals and conducted usability tests.
Through these tests, I identified a key issue: most users were unfamiliar with the data and struggled to understand the feature.
As a result, user comprehension of the product was only 49%.
GOAL
Make data feel easier.
Drawing on my expertise in user experience,
I led a project aimed at making the feature more intuitive to increase user engagement with the "Analytics" function.
HI-FI DESIGN
Updated design
I conducted iterative processes involving comprehension tests to identify areas of user confusion, implement enhancements, and then retest with the prototype.
Here's the new version of the product that improved user understanding.
Details
1
Assign default settings to all data.
BEFORE
In the previous design, no data could be viewed unless a data type and filter were selected.
Users with limited knowledge of the data could not start any action and discontinued using the application.
✨ AFTER ✨
I assigned default settings to all data, ensuring that even passive or less knowledgeable users could easily start exploring.
2
Clarify the difference between two data sources for users
One of the most challenging aspects for users to understand was the difference between two fragmented data sources.
BEFORE
✨ AFTER ✨
Through several tests of user comprehension to help them understand the difference, I managed to make the concept clear.
3
Make the relationships among the three filters more intuitive.
BEFORE
Previously, users found it difficult to understand the commonalities, differences, and relationships among the three filters.
✨ AFTER ✨
Successfully enhanced user understanding of the product.
Ultimately, I was able to improve customer product understanding from 45% to 90%.
Valuable templates derived from client utilization of the "Analytics" feature
As a result, the "Analytics" feature became the primary function of the product, widely utilized by many clients.
This enabled us to obtain various valuable templates through their utilization.
Expansion
Accordingly, the number of our clients has been gradually expanding.
Award
It resulted in winning the CES (Consumer Technology Association) 2024 Innovation Award for the product.
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