ngl App
Personal. Private. Rewarding.
Company
Moojo
Year
My Role
As the Head of Design, I led the end-to-end design process, from initial research and ideation to prototyping, testing, and launching the app. I utilized AI-driven tools like Midjourney to refine category visuals and ChatGPT for ideation and user flow optimization, focusing on enhancing user experience and brand engagement.
Overview.
The ngl app by Moojo redefines how users engage with cashback and rewards by offering a highly personalized, privacy-focused experience. Built on the Moojo™ protocol, ngl enables users to earn rewards while maintaining control over their data, all within a seamless user experience.
Goals.
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Provide users with a straightforward way to earn and redeem cashback across various categories (groceries, tech, lifestyle) while safeguarding their data.
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Create a collaborative platform for brands to engage with consumers directly, bypassing traditional data silos.
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Ensure a smooth, intuitive user journey that reflects Moojo’s values of transparency, simplicity, and privacy.
Research.
Our research included competitor analysis, user interviews, and iterative testing, organized on a digital whiteboard. This helped us pinpoint user needs, particularly around ease of use and data privacy, and ensured our design choices aligned with both user expectations and brand objectives.
Challenges.
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Balancing Privacy with Personalization:
Users expect personalized offers but are wary of data tracking. The challenge was to design a system where users feel secure, with clear control over their data and engagement.
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Data Integration for Brands Without Big Tech:
Brands needed ways to reach targeted users without the usual reliance on third-party data platforms. This required creating a framework where brands could engage based on user behaviors rather than traditional tracking.
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Creating User-Centric Engagement Without Complexity:
Cashback and reward systems are often complex, making it crucial to simplify the process while delivering robust functionality and tailored recommendations for users.
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Using AI for Efficient, Scalable Design:
Designing a wide range of category visuals and reward schemes required innovative approaches to streamline work, where tools like Midjourney and ChatGPT proved essential.
Design Decision
Using Animal Characters for Personas generated with Midjourney.
Using Animal Characters for Personas In designing the ngl Cashback & Rewards app, we opted for animal characters over traditional human personas for our group categories. This choice achieved several goals:
Inclusivity and Neutrality.
Animal characters avoid biases related to gender, age, or ethnicity, ensuring all users feel represented without stereotypes.
Enhanced Engagement.
After testing multiple iterations on Midjourney to find the right character style, we gathered user feedback. Users loved the concept, noting that it made them smile and helped them relate to each persona, adding warmth and personality to the app.
Intuitive Visual Cues.
Each animal embodies traits associated with specific shopping categories (e.g., cheetah for fitness), helping users intuitively connect with their preferred categories.
Brand Differentiation.
The playful animal personas set ngl apart in a crowded market, creating a distinctive, memorable identity.
App Launch Overview.
The ngl Cashback & Rewards app launched on both the Apple App Store and Google Play with a 5.0-star rating, praised for blending high cashback with strong data privacy. Featuring 3,500+ offers and up to 20% cashback.
