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Getting Started

Welcome to MUSE — an evidence-based impact planning tool built by Beacon Labs. MUSE helps you create logic models (Theory of Change) backed by peer-reviewed research evidence and blockchain-verified attestations.

What is MUSE?​

MUSE (Modular Stack of Evidence) bridges the gap between research evidence and real-world impact planning. It enables you to:

  • Build visual logic models — Map out how your program activities lead to measurable impact
  • Leverage AI — Automatically generate logic models from a simple description of your intervention
  • Link research evidence — Connect peer-reviewed research to support each step of your logic model
  • Verify on blockchain — Create immutable, verifiable records of your impact claims through Hypercerts and EAS attestations

Who is MUSE For?​

MUSE is designed for anyone involved in impact planning and evaluation:

  • NGOs and nonprofits — Planning evidence-based programs
  • Researchers — Connecting research findings to practical applications
  • Impact investors — Evaluating program designs with research backing
  • Policymakers — Making evidence-informed decisions
  • Digital Public Goods communities — Tracking and verifying impact

Access MUSE​

Production​

Use the main application for real impact planning and blockchain attestations:

Development Environment​

Practice and experiment without real blockchain costs:

Language Support

MUSE is available in English and Japanese. Use the globe icon in the navigation bar to switch languages at any time.

Quick Start: Your First 5 Minutes​

  1. Visit the App — Go to muse.beaconlabs.io (or the dev app)
  2. Navigate to Canvas — Click "Canvas" in the top navigation bar
  3. Generate with AI — Click the "Generate Logic Model" button and describe your intervention
    • Example: "OSS impact on Ethereum ecosystem"
    • Example: "Reducing food insecurity in urban communities"
  4. Review Your Logic Model — In about 40 seconds, you'll see:
    • Color-coded cards representing each stage (Activities → Outputs → Outcomes → Impact)
    • Arrows showing causal relationships between stages
    • Green edges indicating evidence-backed connections
  5. Explore Evidence — Click on green edges to see the peer-reviewed research supporting each connection

That's it! You've created an evidence-based Theory of Change.

Next Steps​