Mamaland 🏡
Building Tools to
Connect Parents and Events
Seamlessly in LA
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Mamaland is a platform connecting parents with local classes and events in Los Angeles, with a focus on serving the Chinese immigrant community in areas like Arcadia and Pasadena. The product has gained significant traction, boasting over 1,000 weekly active users and a strong presence in the local market.
At this stage, Mamaland faces a scalability challenge as it seeks to expand its reach and reduce reliance on labor-intensive operations.
Duration
Team
Timeline
While the Play Zone has been highly successful in driving engagement, the team is now focused on encouraging users to transition to the Learn Hub as part of a broader effort to drive growth and scalability.
MamaLand has two main sections:
Play Zone: host on-site events and activities
Learn Hub: a platform for parents to schedule classes.
Given the urgency of the product’s schedule, we were unable to conduct in-depth usability testing. Instead, our research focused on three key methods:
Competitor Analysis
User Feedback Review
Internal Feedback
Competitors from Chinese and US market
Through research and feedback, we uncovered key insights about the challenges faced by both parents and teachers using Mamaland:
Based on these insights, we developed several actionable items to address the challenges:
Gift Credit System
Introduced a system offering credits to make the platform more flexible and affordable, encouraging parents to schedule classes through the Learn Hub.
Personalized Recommendation
Designed an onboarding process to collect user preferences through basic data.
Teacher Posting Optimization
Simplified the class posting process to reduce the burden on teachers and increase the variety and number of available classes.
This section outlines the key design solutions aimed at improving user engagement and scalability.
Ways to Earn Credits
1. Scan a promotion QR Code
2. Receive an Invitation Code
3. Invite New Users
Using Credits
Users can then browse available classes in the Learn Hub, select the ones they want, and pay using their credits.
Credit Wallet
Once verified, credits are added to the user’s credit wallet.
Verification Process
Users enter and verify the code through a simple verification process within the app.
The credit system was designed to make the platform more flexible and affordable for parents, encouraging them to engage with the Learn Hub and schedule classes. Below is the user flow illustrating how the system works:
Joint effort:
The gift credit system was a collaboration between the product design and marketing teams. I developed the pages for redeeming and purchasing classes with gift credits, while the marketing team promoted the system across multiple platforms.
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Result:
The launch and promotion of the credit system led to a noticeable improvement in platform performance. We observed an increase in user retention rates and a rise in the number of active users.
To address the unmet needs in the Learn Hub, I collaborated with data scientists and conducted a competitor analysis to develop a profile setup process. This process collects user data during onboarding, enabling the platform to customize recommendations for each user. By tailoring the suggestions, we aimed to enhance the user experience and ensure parents could easily find classes that match their preferences and needs.
Competitor analysis:
To determine the type of data needed for personalized recommendations, I collaborated with the data scientists on our team and conducted a competitor analysis of similar products. This analysis provided valuable insights into the kinds of data that could enhance tailored recommendations.
Based on the findings, we identified two key areas for data collection: user's role, children's demographics, and their interests.
Design works:
To determine the type of data needed for personalized recommendations, I collaborated with the data scientists on our team and conducted a competitor analysis of similar products. This analysis provided valuable insights into the kinds of data that could enhance tailored recommendations.
Based on the findings, we identified two key areas for data collection: user's role, children's demographics, and their interests.
Result:
With the implementation of the personalized recommendation system, parents are now more likely to find events and classes that align with their children's interests. By leveraging collected user data, the platform delivers more relevant suggestions, improving the overall experience and engagement within the Learn Hub.
To help teachers save time when posting classes, I used a modular approach to redesign the posting page. This new system minimizes repetitive form entries, allowing teachers to reuse common information across multiple class postings. By streamlining this process, we aimed to improve efficiency and encourage more class availability on the platform.
Challenge:
The original posting process required teachers to complete 24 sequential questions, making it time-consuming. Through user interviews and secondary research, we identified ways to reorganize the form, making it more intuitive and efficient.
Design:
With the updated organization, I redesigned the posting page using a modular approach. The subclass section, teacher info, and location were made reusable, reducing redundancy and streamlining the posting process. This allowed teachers to create new class listings more efficiently, saving time and effort.
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Result:
The redesigned posting system significantly reduced the time required for teachers to list their classes. As a result, more teachers began using the platform to post their offerings, leading to an overall increase in the variety and availability of classes on MamaLand.
A UX designer currently based in LA
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