Projects

JrKripto Website

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As the Lead UI/UX Designer, I spearheaded the end-to-end design strategy for the JrKripto ecosystem. My focus was on transforming complex blockchain datasets and AI-driven analytics into a seamless, intuitive interface that empowers both novice and professional traders.

Date

Feb 2024 - Jan 2026

Role

Lead UX/UI Designer

Company

BergX

Project Challenges

  • Information Density & Cognitive Load: The ecosystem processes massive streams of on-chain data, AI-driven sentiment, and institutional flows. The primary hurdle was preventing "analysis paralysis" by presenting professional-grade data without overwhelming the user interface.

  • Mobile Functional Parity: Advanced trading tools—specifically Liquidity Maps and MVRV Ratios—are traditionally desktop-only due to their complexity. Maintaining high-precision functionality on smaller screens was a significant technical and UX constraint.

  • Trust Gap in AI Insights: AI-generated market trends can often feel like a "black box." Creating a UI that translates automated data into transparent, trustworthy, and actionable intelligence for traders was a core challenge.

  • Diverse User Personas: The platform had to simultaneously serve "Whales" tracking institutional ETF flows and retail traders focused on the Altcoin Season Index, requiring a UI that didn't feel cluttered for either group.

Design Solutions

  • Architected Progressive Disclosure: I implemented a tiered information hierarchy. Users start with macro-level insights (Rainbow Charts) and can drill down into micro-level data (Long/Short ratios), ensuring complexity is only revealed when requested.

  • Data Visualization Strategy: I developed custom-designed heatmaps and interactive charts specifically for the mobile experience. Using a Component-Based Design System, I integrated "pinch-to-zoom" functionality and horizontal-scrollable data tables to keep professional tools functional on the go.

  • Sentiment Intelligence Dashboard: To bridge the trust gap, I designed a visual scoring system using color-coded stress levels and probability metrics. I added "Context Tooltips" that link directly to source data, providing the transparency needed for high-stakes decision-making.

  • Modular Workspace Customization: I led the design of a flexible interface that allows users to prioritize their own data sets. Whether a user is focused on Bitcoin Treasuries or Subnet analytics, the dashboard adapts to their specific trading style, reducing UI noise.

Project Results & Impact

  • Increased User Retention: Following the UI overhaul and the implementation of the Sentiment Intelligence Dashboard, daily active user (DAU) retention increased by 35%, as traders found the AI insights more trustworthy and easier to act upon.

  • Mobile Engagement Surge: By solving the challenge of complex data visualization on small screens, mobile sessions grew by 63%. Users began utilizing the platform for real-time alerts and "on-the-go" liquidity tracking.

  • Reduced Cognitive Load: Our usability testing showed a 40% faster time-to-insight for users navigating the macro-cycle tools (Rainbow Charts and ETF flows) compared to the previous data-heavy tables.

  • Scalable Design System: I built a comprehensive Atomic Design System that reduced the development hand-off time by 30%. This allowed the engineering team to integrate new $TAO subnets and complex technical indicators with minimal design friction.

  • Institutional Adoption: The streamlined presentation of "Whale" holdings and ETF data attracted a more professional user segment, successfully bridging the gap between retail traders and institutional-grade analysis.

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Introduction

Problem

Solution

Market Analysis

Result