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 OptionRound 1Round 2Round 3Round 4
DeFi Yield Strategy28%30%38%52%
NFT Project Investment15%15%XX
Protocol Improvement22%24%28%X
Community Grants25%31%34%48%
DAO Reserve10%XXX

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.

MechanismBest ForMain Trade-Off
Token-Based VotingSimple governanceSusceptible to whale dominance
Quadratic VotingFairer decision-makingRequires Sybil resistance
Conviction VotingLong-term commitmentSlow decision cycles
Holographic ConsensusPrioritizing proposalsComplex implementation
Delegated VotingPassive governance participationCentralization risks
Ranked-Choice VotingMulti-option decisionsComputational complexity