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:
- URL: https://muse.beaconlabs.io
- Use for: Production logic models, real Hypercerts, permanent evidence attestations
Development Environment
Practice and experiment without real blockchain costs:
- URL: https://dev.muse.beaconlabs.io
- Network: Base Sepolia (test network)
- Use for: Learning, testing features, practice minting Hypercerts
Start with the dev app to explore MUSE's features without any costs. Once you're comfortable, switch to the production app for your real impact work.
Quick Start: Your First 5 Minutes
- Visit the App — Go to muse.beaconlabs.io (or the dev app)
- Navigate to Canvas — Click "Canvas" in the top navigation bar
- Generate with AI — Click the "Generate from Intent" button and describe your intervention
- Example: "OSS impact on Ethereum ecosystem"
- Example: "Reducing food insecurity in urban communities"
- 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
- 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.