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Duration: Feb – Apr 2025 (2 months)

Centralized Risk View for DeFi Protocols

My Role

OVERVIEW

Risk managers working across DeFi protocols like Aave, GMX, and Venus face a common challenge: essential risk signals are scattered across multiple dashboards, making it difficult to detect what’s important—fast. In collaboration with a product manager, I designed a modular, unified dashboard for Chaos Labs that helps users identify and act on the most critical risk data, whether they're analyzing a specific protocol or monitoring the ecosystem as a whole.

The dashboard enables users to:

  • Monitor a unified, real-time overview across all supported protocols.
  • Dive deep into protocol-specific modules for metrics like TVL, whale activity, and simulations.

  • 🎯 Goal: Surface the most important risk insights at a glance—while giving users the ability to drill deeper into protocol-specific data and trends, whether they're at their desk or on the move via mobile.

    TEAM & SCOPE

  • Team: Product Manager, Risk Analyst
  • Scope:From research to final design of key modules and workflows .
  • CONTEXT & PROBLEM STATEMENT

    Chaos Labs provides data for multiple DeFi protocols, but the critical risk indicators—like whale activity spikes, TVL anomalies, or protocol health scores, were siloed and difficult to prioritize.

    Risk managers needed a system that:

  • Unifies multi-protocol data in one place.
  • Surfaces only the most important, actionable metrics.
  • Enables both overview scanning and deep analysis by protocol.
  • Separate protocol modules showing fragmentation

    RESEARCH PHASE

    🎙️ Interview with a Risk Analysts...
    To understand user needs, I conducted a Zoom interview with a DeFi risk analyst overseeing multiple protocols. The goal was to uncover pain points around accessing, comparing, and acting on risk signals.

    Key insights:

  • Switching between protocols caused context loss, user want to easily compare or deep dive into one.
  • There was a lack of clear critical alerts important events like high whale activity or protocol health dips were buried in data. .
  • Trend data was hard to interpret without time-based simulation or projections. .
  • In this research phase, the product manager also suggested a valuable chart metric for showing protocol risk simulations over time...

    SOLUTION & KEY FEATURES

    A streamlined dashboard experience enabling risk managers to:

    • Get a bird’s-eye view of critical metrics across all protocols.
    • Drill down into protocol-specific data and get actionable insights.
    • Spot emerging risks using visual simulations and trend lines.

    Critical Metrics Overview

    TVL Trend

    Protocol Risk Simulation

    Toggle between historical, current, and projected market scenarios

    Whale Activity Monitor

    Top 7 whale transactions in real-time, color-coded by risk level and transaction type, allowing users to trace behavior leading to protocol stress

    USER-CENTRIC DESIGN RATIONALE

    Icongraphy


    Research indicates that most risk managers are around 25-40 years old, and to engage this demographic, the design incorporates emoji-style visuals for a more intuitive and interactive experience:

    Dark UI: Designed for professional, data-heavy environments


    Dark themes convey power, formality, and expertise, qualities valued in professional settings like risk management.

    It also designed to reduce eye strain during prolonged usage and meet the preference for dark modes among risk managers.

    OUTCOME

    • Enabled identification of critical risk data in real time.
    • Unified previously siloed protocol data into one dashboard.
    • quick scanningand in-depth analysis.
    • Created a scalable framework for future integrations (more protocols, alerts, simulations).

    💬 “This is the first time I’ve been able to see and act on critical risk signals from different protocols in one clean view.” (Robert A, Risk Analyst)

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     +972-54-799-5440   |     [email protected]   |     Tamir Schwartz   |   Hope to hear soon 😋