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Evaluating DAO Sustainability and Longevity Through On-Chain Governance Metrics

Silvio Meneguzzo, Claudio Schifanella, Valentina Gatteschi, Giuseppe Destefanis

TL;DR

This paper develops a data-driven KPI framework to evaluate DAO governance across four dimensions—participation, financial robustness, voting efficiency, and decentralisation—using a on-chain dataset of 50 DAOs. It defines four KPIs with explicit formulations and a 0–12 composite score, then builds a multi-chain data pipeline to extract and harmonise on-chain events. Non-parametric statistics reveal persistent governance patterns, notably low participation and proposer concentration, and demonstrate that balanced KPI performance correlates with greater sustainability. The framework offers a replicable, practical tool for researchers and practitioners to diagnose governance gaps and design more resilient, participatory DAO ecosystems.

Abstract

Decentralised Autonomous Organisations (DAOs) automate governance and resource allocation through smart contracts, aiming to shift decision-making to distributed token holders. However, many DAOs face sustainability challenges linked to limited user participation, concentrated voting power, and technical design constraints. This paper addresses these issues by identifying research gaps in DAO evaluation and introducing a framework of Key Performance Indicators (KPIs) that capture governance efficiency, financial robustness, decentralisation, and community engagement. We apply the framework to a custom-built dataset of real-world DAOs constructed from on-chain data and analysed using non-parametric methods. The results reveal recurring governance patterns, including low participation rates and high proposer concentration, which may undermine long-term viability. The proposed KPIs offer a replicable, data-driven method for assessing DAO governance structures and identifying potential areas for improvement. These findings support a multidimensional approach to evaluating decentralised systems and provide practical tools for researchers and practitioners working to improve the resilience and effectiveness of DAO-based governance models.

Evaluating DAO Sustainability and Longevity Through On-Chain Governance Metrics

TL;DR

This paper develops a data-driven KPI framework to evaluate DAO governance across four dimensions—participation, financial robustness, voting efficiency, and decentralisation—using a on-chain dataset of 50 DAOs. It defines four KPIs with explicit formulations and a 0–12 composite score, then builds a multi-chain data pipeline to extract and harmonise on-chain events. Non-parametric statistics reveal persistent governance patterns, notably low participation and proposer concentration, and demonstrate that balanced KPI performance correlates with greater sustainability. The framework offers a replicable, practical tool for researchers and practitioners to diagnose governance gaps and design more resilient, participatory DAO ecosystems.

Abstract

Decentralised Autonomous Organisations (DAOs) automate governance and resource allocation through smart contracts, aiming to shift decision-making to distributed token holders. However, many DAOs face sustainability challenges linked to limited user participation, concentrated voting power, and technical design constraints. This paper addresses these issues by identifying research gaps in DAO evaluation and introducing a framework of Key Performance Indicators (KPIs) that capture governance efficiency, financial robustness, decentralisation, and community engagement. We apply the framework to a custom-built dataset of real-world DAOs constructed from on-chain data and analysed using non-parametric methods. The results reveal recurring governance patterns, including low participation rates and high proposer concentration, which may undermine long-term viability. The proposed KPIs offer a replicable, data-driven method for assessing DAO governance structures and identifying potential areas for improvement. These findings support a multidimensional approach to evaluating decentralised systems and provide practical tools for researchers and practitioners working to improve the resilience and effectiveness of DAO-based governance models.

Paper Structure

This paper contains 40 sections, 7 equations, 10 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Background
  3. DAOs: Definition and Evolution
  4. DAO Characteristics and Challenges
  5. DAO Governance Mechanisms
  6. Evaluation Approaches for DAOs
  7. Research Gap
  8. Methodology
  9. Key Performance Indicators
  10. KPI 1: Network Participation
  11. KPI 2: Accumulated Funds
  12. KPI 3: Voting Mechanism Efficiency
  13. KPI 4: Decentralisation
  14. Scoring System
  15. Dataset Construction
  16. ...and 25 more sections

Figures (10)

  • Figure 1: Multi-chain on-chain retrieval pipeline
  • Figure 2: Scatter plot showing the relationship between total members (x) and participation rate (y)
  • Figure 3: "Notched" box plot for Network Participation.
  • Figure 4: Scatter plot of treasury value (log scale) vs. circulating token percentage.
  • Figure 5: Notched box plot of treasury sizes, grouped by circulating token status.
  • ...and 5 more figures