Structural · Genesis
2 participant mentions · Addresses 3 governance problems
AI-synthesized from participant responses. Data points are faithful to source material; narrative descriptions may contain elaborations beyond what participants stated. See Methodology. Original responses available on request.
A general institutional governance framework focused on legitimacy-based design drawing from real-world governance insights. Powers Protocol defines governance as the allocation and constraint of powers rather than the design of voting mechanisms, offering a fundamentally different lens for thinking about decentralized organization.
How It Works
Powers Protocol starts from a simple but powerful reframe: governance is not about voting. Governance is about defining what powers exist within an organization, who holds them, how they are constrained, and under what conditions they can be exercised. Voting is just one mechanism for allocating and constraining power — and often not the most important one.
The framework draws explicitly from real-world institutional design, particularly constitutional governance theory. In a well-designed state, the judiciary has specific powers that are constrained by the legislature; the executive has different powers constrained by both the judiciary and the legislature. These power relationships create accountability through mutual constraint, not through majority voting on every decision.
Applied to DAOs, Powers Protocol asks organizations to explicitly define their “powers” — the ability to spend treasury funds, upgrade protocol code, appoint committee members, approve grants, etc. — and then design constraint structures around each power. Some powers might be allocated by vote, others by committee appointment, others by technical qualification. The key is that each power has explicit constraints: who can exercise it, under what conditions, with what oversight, and through what appeal mechanism.
This approach naturally produces more sophisticated governance architectures than the typical “DAO = token vote” model. It also provides a common language for comparing governance designs across organizations, enabling the kind of cross-DAO learning that the space desperately needs.
Problems Addressed
- Governance Theater — By focusing on actual power allocation rather than voting rituals, it exposes where real decisions are made and whether formal governance processes are meaningfully connected to power
- Over-Reliance on Game Theory — Draws from political science and institutional design rather than economics, incorporating legitimacy, accountability, and constitutional theory into governance design
- Lack of Clear Purpose — Forces organizations to explicitly enumerate and define their governance powers, creating clarity about what the organization actually governs
Key Actors
- 7Cedars / Teije — Creator of the Powers Protocol framework, bringing institutional design theory to web3 governance with a focus on legitimacy and constitutional structure
Maturity Assessment
At Genesis stage (ex 1.5), Powers Protocol exists as a well-articulated framework but has not yet been implemented at scale. Its primary contribution at this stage is conceptual: it provides a vocabulary and analytical framework that governance designers can use to think more clearly about what they’re building. The gap between framework and implementation is significant — translating power allocation theory into smart contracts and governance interfaces requires substantial engineering work that has not yet been undertaken.
Participant Mentions
Referenced in 2 out of 52 interviews. The single mention reflects the framework’s novelty and its academic orientation — it requires engagement with institutional design theory that most practitioners haven’t encountered. However, the ideas it articulates (governance as power allocation, the importance of constraints, the legitimacy question) surfaced implicitly in many more interviews, suggesting that the framework may be articulating something that many practitioners intuit but haven’t formalized.
See also: All Solutions · Phase 1 Results