Beefy Finance

Conducted iterative user research across 3 rounds to redesign Beefy's core flows.

Research insights shaped product decisions that helped the protocol scale to $100M+ TVL.

User Research • Design Sprints

The Challenge

Multi-chain yield optimization is complex: users need to understand risks, fees, and strategies across protocols. Beefy was scaling rapidly but their interface wasn't keeping up. Users had to jump between platforms to get complete information about their investments.

The Process

At Deep Work, we ran a structured design sprint to tackle this: 

Alignment workshops with stakeholders to define the core problems:

  • How might we keep existing users happy?
  • How might we add to user' experience without breaking their habit?
  • How might we attrach and inform new users?

Sketching and storyboarding sessions to explore solutions rapidly accross team.

Prototyping and user testing: 3 rounds of interviews with actual Beefy users to validate concepts and uncover friction points.

User Research Impact

The research revealed critical gaps:

  • Users couldn't evaluate risk without external tools
  • Fee structures were opaque, creating distrust
  • New users felt lost without contextual help
  • Portfolio tracking was confusing

These insights shaped key design decisions:

  • Risk scores for each vault to enable informed decisions
  • Transparent fee breakdown with no hidden costs
  • Strategy details explaining how yield farming works
  • Contextual tooltips for new users
  • Consolidated vault detail page with all information in one place

The new flow balanced existing user habits with improvments for newcomers, helping scale to hundred of millions in TVL.

yeild-strategy
strategies
fees

The Prototype

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