We’re excited to officially launch the Obol Governance Analytics Dashboard! This new tool is built to directly support Obol’s 2025 SQUAD Goals, fostering sustained delegate participation, transparent governance, and incentive alignment by providing the reliable governance data and transparent metrics on turnout, delegate impact, and participation trends essential for governance decision-making. It will empower both token holders and delegates to evaluate proposals and performance based on facts, not just sentiment.
This thread will serve as a central place for updates, feature announcements, and a space to gather feedback from the Obol community on the Governance Analytics Dashboard we’re building.
Live Dashboard: https://obol.curiahub.xyz/
Dashboard Overview
A comprehensive analytics tool that visualizes key governance metrics, tracks voting power distribution, and provides detailed monitoring of delegate performance and governance dynamics.
Delegate Tracking: It provides insights into the role of delegates within the governance process, highlighting their influence and activity over time. This would empower token holders to make informed decisions when selecting delegates and ensure that these representatives actively serve the community.
Details
- Delegated card: Displays ranking, delegate name, delegated tokens (% voting power), delegating address, voting turnout, and the most recent five votes.
- Voter Turnout: Tracks individual participation by monitoring recent proposal activity.
- Delegate Profile: A dedicated page for each delegate, displaying all proposals they have voted on or abstained from and voting power historical change.
- Forum Score: This score is designed to provide a quantifiable measure of a delegate’s activity and engagement in DAO governance discussions.
- Rationale Vote: Tracks whether a delegate only votes or also provides a rationale and discussion for their vote, both on-chain and in forums.
- Non-Conformity Ratio: Displays the ratio of times a delegate votes against the majority.
Forum Link verification: Delegates can integrate their Forum Score with their governance profiles to provide a more complete view of their participation. Link here
Onchain Metrics Tracking Include:
Holder Metrics: It enables us to understand the distribution of OBOL token holders and quantify the untapped OBOL that can be converted into active voting power.
Metrics
- Holder Wallets: Represents the total count of unique wallet addresses holding or vested with the OBOL token.
- Token Supply: Displays the total amount of OBOL tokens available, including both circulating and vested tokens.
- Minted Supply: Represents the actual number of tokens that have been minted so far and exist onchain.
- Votable Supply: Indicates the number of tokens that can be used to vote, including those that are vested.
- Share of Votable Supply: The percentage of the total circulating supply that is currently delegated and available to participate in governance votes.
Voting Power Metrics: It provides insights into the distribution of governance power by highlighting metrics such as the distinction between small and large holders, overall voting power distribution, and levels of decentralization. These metrics help identify centralization risks and drive initiatives toward a more decentralized voting landscape.
Metrics
- Delegate Nakamoto Coefficient: The number of top delegates required to control 50% of the votable supply.
- Delegate Quorum: The number of top delegates needed to reach the proposal quorum.
- Distribution of Voting Power: Compares voting power between small and large holders, including data on tokens delegated by each group, the percentage of wallets that have delegated their voting power, and a detailed comparison of voting power between the two groups.
Proposal Metrics: This section offers comprehensive insights into governance proposals, helping Obol Collective understand proposal dynamics and voting outcomes. This enables the DAO to identify popular proposal topics and trends.
Metrics
- Proposals Table: Displays all proposals with details such as name, status, outcome, and category
Participation Metrics: It provides insights by identifying overall participation trends, highlighting opportunities to boost participation. These metrics also enable detailed tracking of delegate and voter involvement, allowing the DAO to measure the effectiveness of initiatives that aim to increase governance activity.
Metrics
- Proposal Engagement Overview: Includes unique voter counts, total voting power used, and participation rate relative to the votable supply.
- Tracking Participation: Monitors participation among the top 1000 delegates.
- Delegated Voting Power Analysis: Compares voting power delegated from small versus large holders across various delegate categories (active, inactive, ghost) and provides a breakdown of delegators by size for each category.
Voter Behavior: Voter behavior analytics assist Obol Collective in optimizing governance effectiveness by pinpointing the optimal timing for voting periods to maximize participation. This ensures critical proposals receive adequate attention at the right times, enhancing the overall responsiveness and efficiency of governance processes.
Metrics
- Voting Density: A heat map showing voting density over different time periods.
- Voting Momentum: Tracks voting momentum during various stages of the voting cycle (early, normal, late, and ending).
What’s Next?
We’re actively working on the following improvements:
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DRS Score (Delegate Reputation Score)
We’re integrating the DRS framework into the dashboard to quantify delegate contributions and behaviors. The goal is to turn raw governance activity into a meaningful reputation score that helps communities recognize quality participation.
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Expanded Delegate Coverage
Currently, we track the top 1,000 delegates—but we’re working on expanding this to cover a broader and deeper set of addresses, ensuring all contributors are also visible and recognized.
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Timeframe-Based Filtering
Soon, you’ll be able to filter delegate activity and scores by custom date ranges. This makes it easier to analyze behavior over specific governance windows—like a vote cycle.