Project Overview

As the lead product designer for 3commas' DCA (Dollar Cost Averaging) trading bot interface, my goal was to revamp the existing interface to improve traders' experience and enhance the efficiency of automated trading strategies. To achieve this, I embarked on developing a new design system and conducted A/B testing to ensure optimal outcomes.

Research and Design Process

The project commenced with extensive analysis of cryptocurrency trading practices and conducting interviews with active traders to understand their needs and pain points. This research phase provided valuable insights to determine key requirements for the new interface.

Based on the research insights, I assembled a product team and crafted a new design system for the DCA bot. We underwent multiple iterations, creating wireframes, prototypes, and gathering feedback from the team and potential users. The design system was developed with a focus on user-friendliness, technical feasibility, and adherence to modern design standards.

Design System Development

The new design system for the DCA bot interface included:

1. Clear Configuration Process: I developed a step-by-step configuration process that allowed users to easily set up their trading parameters, such as selecting cryptocurrencies, investment amounts, and trade frequencies. This enabled users to quickly launch the bot and begin trading.
2. Performance Tracking Dashboard: I designed a comprehensive dashboard that displayed key performance metrics, including total investment amount, current portfolio value, and profit/loss percentages. This enabled users to monitor the results of their automated trades and make informed decisions.
3. Customization Options: To cater to diverse trader preferences, I added customization options that allowed users to adjust parameters like trading strategies, target assets, and risk tolerance. This provided users with flexibility in choosing their own trading strategies.
4. Visualizations and Notifications: To offer users clear insights into their trading performance, I incorporated visual charts and graphs. Additionally, I developed notifications and alerts to keep users informed about important updates, such as completed trades or market trends.

A/B Testing and Iterations

Throughout the development of the DCA bot interface, A/B testing was conducted to validate design decisions and enhance the user experience. Various versions of key features were tested, including the bot setup process, real-time data updates, and trade history. Data-driven insights from the A/B tests were continuously integrated into the design to ensure optimal results.

Close Collaboration with the Product Team

As the lead product designer, I closely collaborated with the product team throughout the project. Regular meetings, design reviews, and brainstorming sessions were conducted to align the design vision with the product roadmap. This partnership allowed us to address technical constraints, prioritize feature enhancements, and implement design changes promptly.

Launch and Results

The launch of the redesigned DCA bot interface garnered highly positive results. Users embraced the updated interface, praising its user-friendliness and effectiveness.