Evaluating Reputation-Based Governance Models

Hey everyone,

Let’s talk about reputation-based governance models and how they perform over the long term. Token voting is still the default in most systems, but many projects are experimenting with reputation signals to improve decision quality and reduce purely capital-driven outcomes.

What I find unclear is how these systems age. Early on, reputation can reflect genuine contributions, but over time it risks becoming entrenched or disconnected from current behavior. How should reputation decay, and how transparent should the scoring mechanisms be? There’s also the question of gaming. Any metric that influences power eventually gets optimized against, and I’m curious which designs have proven more resilient in practice.

Another angle is how reputation interacts with token-based governance. Does combining the two actually improve outcomes, or does it just add complexity and new failure modes? For example, should reputation act as a modifier on voting power, or should it be used mainly for proposal filtering and signaling?

I’d be especially interested in hearing from teams that have deployed reputation systems beyond experiments or testnets. What participation patterns emerged over time? Did reputation improve governance outcomes, or did it introduce new forms of centralization? Concrete examples and lessons learned would help move this discussion beyond theory.