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Transparent.space

Transparent.space is a Web3 platform focused on verifiable proof of Market Maker performance, bringing together critical data such as SLA, liquidity, spreads, uptime, pool depth, and historical behavior in a single institutional environment.

MY ROLEProduct Designer
YEAR2025-2026
TEAMMyself (Designer/product), Pedro (Product Manager), Bruno (Developer)
SCOPEProduct Design / UX Design
Transparent.space Project Cover

Overview

Transparent.space is a monitoring and transparency platform that allows liquidity providers and trading firms to track SLA performance, operational reliability and service integrity in real time.

This project focused on designing the core product experience, transforming complex operational metrics into actionable intelligence.

Problem

Liquidity providers operate in latency-sensitive environments where service interruptions generate financial and reputational risk. However, existing monitoring tools often present fragmented information, making performance evaluation slow and reactive.

Users needed a platform that could:

  • Centralize performance visibility
  • Surface critical deviations instantly
  • Provide confidence in operational reliability

Goal

Design a product experience that:

  • Enables instant situational awareness
  • Centralize performance visibility
  • Turns raw infrastructure data into decision-ready insights
  • Supports both real-time monitoring and historical analysis

Solution

The platform experience was designed around three pillars:

  1. Immediate Status Recognition — High-level performance summaries allow users to assess system health within seconds.
  2. Layered Data Exploration — Users can progressively drill down from global performance metrics into granular operational details without losing context.
  3. Signal-Driven Visual Feedback — Color systems, indicators and structured layouts guide attention toward anomalies and critical events.

Dashboards prioritize clarity and hierarchy, ensuring users can interpret performance states quickly during time-sensitive scenarios.

Results

  • Faster anomaly detection
  • Reduced time to performance diagnosis
  • Improved operational confidence for liquidity providers
  • Stronger perception of reliability and professionalism

Research included:

  • Interviews with crypto market operators
  • Analysis of trading desk workflows
  • Benchmarking observability and monitoring tools
  • Mapping cognitive load in real-time dashboards

Insights revealed that speed of comprehension is more valuable than quantity of metrics displayed.

Design decisions prioritized:

  • Information hierarchy over density
  • Persistent context across navigation layers
  • Responsive layouts for multi-screen environments

Interaction patterns were optimized for users operating in parallel trading systems.

The product visual language reinforces usability through:

  • Contrast-driven alert states
  • Structured dashboard grids
  • Clear metric grouping
  • Functional iconography for rapid scanning

Visual clarity acts as a performance tool, not just an aesthetic choice.

Lessons Learned

  • Monitoring tools must reduce stress, not amplify it
  • Operational dashboards require clarity under pressure
  • Good product design in finance is measured by decision speed

Next Steps

  • Predictive alerts powered by historical patterns
  • Cross-platform synchronization
  • Advanced reporting for institutional stakeholders
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