Redesign for RadarDrop AI
Product Design
2024
Responsibilities
Product Research, Prototyping, Concepting, UX/UI
Duration
3 Months
Context
RadarDrop AI is a platform that automates airdrop farming using AI, allowing users to efficiently track, farm, and manage airdrops. The platform aggregates trends, automates actions on-chain, and provides users with up-to-date information and notifications.
Problem
The app's design did not align with the simplicity and ease that should accompany the airdrop farming process. The user interface was overly complex, overwhelming users and detracting from the seamless, automated experience that the platform promised.
Goal
Redesign the dApp to streamline the user experience, making the process of farming airdrops as simple as possible. The interface should allow users to easily interact with the AI agent, track progress, and monitor all airdrops—upcoming, active, and farmed—without feeling overwhelmed.
Solution
I redesigned the dApp to simplify tracking all airdrops on RadarDrop AI. The interface now makes it easy for users to interact with AI and monitor upcoming, active, and farmed airdrops. I also implemented an automated flow for executing repetitive tasks, streamlining the airdrop farming process.
Results:
As a product powered by AI-driven airdrop farming, the core function of RadarDrop AI is to help users efficiently monitor airdrops across multiple platforms. To ensure ease of use, I created multiple dashboards that streamline tracking and decision-making.
Users can effortlessly scroll through various projects offering airdrops, with intuitive filters to sort by airdrop benefits and relevance, allowing them to quickly identify the most valuable opportunities.
RadarDrop AI empowers users to farm multiple airdrops at once. The platform’s robust dashboards provide an overview of airdrop trends, user performance, and the entire farming process, making it easy to track progress and stay informed.
To foster community engagement and incentivize users, I incorporated a leaderboard and a unique points reward system. This gamified approach motivates users to contribute and maximize their airdrop farming efforts.
RadarDrop AI offers the unique ability to replicate airdrops, enabling users to farm the same airdrop multiple times without any extra effort on their part. To provide users with more control and visibility, I designed a dedicated Replication dashboard where they can easily track the progress of each replication session.
To maintain a cohesive and immersive brand experience, I integrated RadarDrop’s distinct graphics throughout the interface, ensuring that the app reflects the unique identity and vision of the platform.
Available on any device with support of dark & light themes.
Outcome
The redesign of RadarDrop brought significant improvements in user engagement, operational efficiency, and mobile accessibility. The key outcomes include:
40% Increase in User Engagement: The introduction of gamification elements, including leaderboards and achievement systems, alongside custom notifications, increased user engagement by 40%. These features kept users motivated and returning regularly to track their progress and participate in new airdrops.
10x Faster Airdrop Farming: With the implementation of automated workflows and AI agent, users are now able to farm up to 10 times more airdrops in the same amount of time it previously took to farm just one.
90% Less Manual Work: By streamlining processes and reducing the need for repetitive manual actions, users now perform 90% less manual work compared to before.
The mobile experience was enhanced significantly, contributing to a substantial increase in mobile traffic. With a more responsive design and user-friendly interface, the platform saw a noticeable uptick in mobile users, helping users stay engaged even on the go.
The revamped design and improved user flow resulted in higher satisfaction rates, with users across the RadarDrop media channels reporting a more intuitive and enjoyable experience.