Voting is the foundation of decentralized governance, allowing stakeholders to influence decisions, allocate resources, and shape the future of a DAO. However, different voting mechanisms have varying levels of fairness, security, and resistance to manipulation.
Token-Based Voting
How It Works
- Each token represents one vote (1 token = 1 vote).
- The more tokens a participant holds, the greater their voting power.
- Used in most DAOs due to its simplicity and direct alignment with token ownership.
Pros
- Simple and widely adopted – Easy to implement using ERC-20 governance tokens.
- Aligned incentives – Token holders have a stake in the DAO’s success.
- Efficient for high-stake decisions – Weighted voting reflects financial commitment.
Cons
- Plutocratic risk – Large holders (whales) can dominate decisions.
- Low voter participation – Holders may not engage in governance.
- Vulnerable to vote buying – Tokens can be borrowed or delegated for influence.
Best Use Cases
- Protocol governance (e.g., Uniswap, Compound).
- DAOs where token ownership closely aligns with decision-making incentives.
Quadratic Voting
How It Works
- Votes are not linear—the cost of casting multiple votes increases quadratically.
- Prevents a single entity from dominating decisions with large holdings.
- Votes cost example:
- 1 vote costs 1 token
- 2 votes cost 4 tokens (2²)
- 3 votes cost 9 tokens (3²)
- 4 votes cost 16 tokens (4²)
- And so on…
Pros
- Balances influence – Large holders still have power but at diminishing returns.
- Encourages diverse participation – Smaller stakeholders have a meaningful voice.
- More democratic outcomes – Helps prevent whale dominance.
Cons
- Requires identity verification – Without Sybil resistance, it can be gamed.
- Complex implementation – Needs additional smart contracts and infrastructure.
- Might not work well for all DAOs – If contributors have different levels of expertise, equalizing voting power may be counterproductive.
Best Use Cases
- DAOs focused on community-driven governance.
- Funding allocation (e.g., Gitcoin Grants).
- Public goods funding where fairer representation is needed.
Conviction Voting
How It Works
- Voting power accumulates over time based on how long a participant supports a proposal.
- Encourages long-term commitment rather than sudden voting spikes.
- Conviction formula example:
- Conviction = Prior Conviction × Decay Factor + New Stake
Pros
- Discourages short-term manipulation – Prevents last-minute whale votes.
- Continuous governance – Members can express preferences dynamically.
- Resistant to vote buying – Requires commitment over time, reducing flash influence.
Cons
- Slow decision-making – Requires time for votes to accumulate influence.
- New participants have less immediate power – Can disadvantage newcomers.
- Might not be ideal for urgent decisions – Some DAOs need faster governance cycles.
Best Use Cases
- Funding allocation decisions.
- Community-driven DAOs with long-term incentives.
- Ecosystems needing gradual consensus formation (e.g., Commons Stack).
Holographic Consensus
How It Works
- A predictive market mechanism is used alongside traditional voting.
- Participants stake tokens to signal which proposals deserve attention.
- If a proposal passes a threshold of attention, it is fast-tracked for full DAO voting.
- Just as a hologram recreates a 3D representation from a 2D medium, this voting mechanism attempts to project the will of the entire DAO through the actions of a smaller group.
Pros
- Scalable governance – Prioritizes important proposals without overwhelming voters.
- Filters out low-quality proposals – Prevents spam or unimportant governance items.
- Efficient decision-making – Only high-impact decisions reach full DAO voting.
Cons
- Requires staking participation – Low engagement can reduce efficiency.
- Can be complex to understand – Requires educating DAO participants.
- Depends on good economic incentives – Poorly designed incentives can lead to manipulation.
Best Use Cases
- Large DAOs needing scalable governance (e.g., DAOstack).
- DAOs where not every proposal should go to a full vote.
- Projects using prediction-based governance models.
Delegated Voting (Liquid Democracy)
How It Works
- Participants delegate their voting power to trusted representatives.
- Delegates can vote directly or pass delegation further.
- Token holders can revoke or change delegation at any time.
Pros
- Encourages expertise-driven governance – Delegates are often more informed.
- Flexible – Participants can vote directly or delegate selectively.
- Improves engagement – Low-effort way for passive members to participate.
Cons
- Centralization risk – Delegation could lead to governance oligarchies.
- Potential misalignment – Delegates may not always represent voter interests.
- Requires trust in delegates – Governance could become too dependent on a few key figures.
Best Use Cases
- DAOs with large, passive token holder bases (e.g., Compound, Aave).
- Complex governance systems needing expert oversight.
- Hybrid models combining direct and delegated voting.
Ranked-Choice Voting
How It Works
- Voters rank multiple options in order of preference.
- If no option gets a majority, the lowest-ranked choice is eliminated, and votes are redistributed until a winner emerges.
- Ranked-Choice voting example:
Candidate Option | Round 1 | Round 2 | Round 3 | Round 4 |
---|---|---|---|---|
DeFi Yield Strategy | 28% | 30% | 38% | 52% |
NFT Project Investment | 15% | 15% | ||
Protocol Improvement | 22% | 24% | 28% | |
Community Grants | 25% | 31% | 34% | 48% |
DAO Reserve | 10% |
Pros
- Encourages consensus-driven decision-making.
- Reduces polarization – A broader range of opinions is considered.
- Useful for selecting candidates or multi-option proposals.
Cons
- More complex than single voting – Requires additional computation.
- May not be ideal for binary decisions – Works better for multi-choice votes.
- Potential for strategic voting – Voters may manipulate rankings.
Best Use Cases
- Elections of DAO representatives or council members.
- Decisions with multiple viable outcomes.
- Situations where consensus-building is important.
Choosing the Right Voting Mechanism for Your DAO
Different DAOs require different voting models depending on size, governance needs, and community engagement.
Mechanism | Best For | Main Trade-Off |
---|---|---|
Token-Based Voting | Simple governance | Susceptible to whale dominance |
Quadratic Voting | Fairer decision-making | Requires Sybil resistance |
Conviction Voting | Long-term commitment | Slow decision cycles |
Holographic Consensus | Prioritizing proposals | Complex implementation |
Delegated Voting | Passive governance participation | Centralization risks |
Ranked-Choice Voting | Multi-option decisions | Computational complexity |