MMC

MMC

FinTech, Web3, Blockchain

MMC is a private token coin instrument for crypto trading and investments

Role

Role

Product Designer

Scope

Scope

Full cycle delivery from discovery to MVP launch

Duration

Duration

24 Months

Problem Statement

Problem Statement

Key Pain Points:

  • Steep learning curve with technical jargon and complex UI patterns

  • Fragmented information sources requiring multiple apps/platforms

  • Lack of contextual guidance for investment decisions

  • Anxiety around security and portfolio management

  • Poor mobile-first experiences despite on-the-go trading needs


Approach

Approach

1. Research & Discovery

  • Conduct user interviews with crypto beginners, intermediate traders, and experienced investors

  • Analyze competitor apps focusing on usability friction points and feature gaps

  • Map user journey from awareness to confident trading, identifying emotional highs/lows

  • Define primary personas: "Crypto Curious" newcomers and "Casual Investors"

2. Information Architecture

  • Implement progressive disclosure to reduce cognitive load

  • Create clear mental models: Portfolio > Markets > Learn > Trade hierarchy

  • Design contextual navigation that adapts to user experience level

  • Establish consistent terminology and eliminate unnecessary jargon

3. Core UX Strategy

  • Guided onboarding: Multi-step education with bite-sized learning modules

  • Smart defaults: Pre-configured settings based on risk tolerance and goals

  • Contextual help: In-line explanations and "why this matters" tooltips

  • Confidence building: Portfolio simulations before real money trading

4. Interface Design

  • Mobile-first responsive design with thumb-friendly interactions

  • Visual hierarchy emphasizing portfolio status and key actions

  • Real-time feedback for all transactions with clear success/error states

  • Accessible color coding and typography for market data readability

5. Validation & Iteration

  • Prototype key flows: onboarding, first trade, portfolio review

  • Usability testing with target personas on core tasks

  • A/B testing on educational content effectiveness

  • Post-launch analytics on drop-off points and feature adoption.

]Success Metrics:

  • Reduced time-to-first-trade

  • Increased user retention

  • Higher educational content engagement,

  • Decreased support tickets

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