📌 Token Governance Strategies Summary
Token governance strategies are methods used to manage how decisions are made within a blockchain or decentralised project. These strategies determine who has the power to propose, vote on, or implement changes based on tokens they hold or other criteria. They help ensure that a community or group can steer the direction of a project in a fair and organised way.
🙋🏻♂️ Explain Token Governance Strategies Simply
Imagine a club where members get voting slips based on how much they have contributed. The more slips you have, the more say you get in club decisions. Token governance strategies work similarly, letting people who own more tokens have a bigger influence on decisions.
📅 How Can it be used?
A project can use token governance strategies to let its users vote on software upgrades or how funds are spent.
🗺️ Real World Examples
MakerDAO uses a token governance strategy where holders of the MKR token vote on proposals about system changes, such as adjusting fees or adding new collateral types. This allows the community to directly influence the operation and rules of the Maker protocol.
Compound, a decentralised finance platform, allows holders of the COMP token to suggest and vote on changes to the protocol, like adjusting interest rates or integrating new assets, making the platform responsive to its users.
✅ FAQ
📚 Categories
🔗 External Reference Links
Token Governance Strategies link
👏 Was This Helpful?
If this page helped you, please consider giving us a linkback or share on social media!
📎 https://www.efficiencyai.co.uk/knowledge_card/token-governance-strategies-2
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
Talent Management Systems
Talent Management Systems are software platforms that help organisations manage their employees throughout the entire employment cycle. These systems support activities such as recruiting, onboarding, performance management, learning and development, and succession planning. By centralising information and automating many HR tasks, they make it easier for companies to track employee progress and plan for future staffing needs.
Order Management System
An Order Management System is a software solution that helps businesses track and manage the entire process of receiving, processing, and fulfilling customer orders. It keeps all order information organised, from the moment a customer places an order to when it is delivered. This system helps reduce errors, saves time, and ensures customers receive their products as expected.
Automated Discovery Tool
An automated discovery tool is a type of software designed to automatically find, collect, and organise information about computer systems, networks, or data without needing much manual effort. These tools scan digital environments to identify devices, applications, data sources, or vulnerabilities. By using them, organisations can keep track of their technology assets, monitor changes, and spot potential security or compliance issues more efficiently.
Kerberos Exploitation
Kerberos exploitation refers to techniques used by attackers to abuse weaknesses or misconfigurations in the Kerberos authentication protocol. Kerberos is widely used in Windows environments to manage secure logins and resource access. Attackers can exploit vulnerabilities to gain unauthorised access, impersonate users, or escalate their privileges within a network.
AI for Sustainable Development
AI for Sustainable Development refers to using artificial intelligence to help solve environmental, social, and economic challenges, such as climate change, poverty, and access to healthcare. AI can analyse large amounts of data to find patterns, predict outcomes, and suggest actions that support sustainability. The goal is to make better decisions and create solutions that benefit people and the planet.