Mithril Analytics

Mithril Analytics: From scattered platforms to a single source of truth for 250+ Web3 communities.

Dashboard UI for Mithril by Commsor: left sidebar nav, top tabs (Discord/Discourse/Twitter), key metrics cards with sparklines (users, activation, retention), a green heatmap of user presence, and a line chart for NFT holders.

Context

Mithril helps Web3 teams understand their community by turning Discord, Twitter, and wallet data into clear insights. I led the design of its analytics experience, making it easier for teams to track growth, engagement, and retention.

Problem

Web3 community managers had no clear way to track what was happening across platforms. Data lived in too many places, and most tools didn’t give a clear community overview. This made it hard to track growth, retention, or support their communities effectively.

Impact

Abdopted by over 250 communities adopted it, including top web 3 organizations like Polygon, Celo and Gitcoin.

Solutions

Mithril set out to fix the problems by bringing all that data into one clean, easy-to-use space. The goal?

Track growth, engagement, and activity trends
Spot key contributors and understand relationships
View community members and engagement history in one place

Role

Product Designer

Team

Cole Zerr - Product Manager
Erik Rosemberg - Lead Engineer 
Will Depue - Engineer 
Dexter Molina - Engineer 
Santi Arredondo- Engineer 
Naren Gaurav - Community & BD

Analytics page: Understanding Activity at a Glance

The Analytics page helped managers make sense of community performance without switching tools or crunching data. It highlighted key metrics like:

Member growth, activation, and retention
Active contributors, drop-offs, and lurker patterns
Trending discussions and message volume across channels

Dashboard showing member growth, activation trends, and retention over time with line and bar charts.

Server-level insights showing member growth, activation trends, retention, and user presence over time.

Analytics dashboard showing message breakdowns, trending discussions, and engagement graphs by channel.

Channel-level analytics showing trending discussions, message breakdowns, and engagement metrics across Discord.

Dropdown menu with options to select preset and custom time ranges for data filtering.

Users could filter insights by predefined or custom time ranges—ideal for spotting trends over specific periods.

Line chart with dropdown options for zooming, date selection, and export tools.

Each chart came with export and view options, allowing managers to zoom in, change date ranges, or download data.

Fullscreen mode displaying engagement drop-off trends with detailed chart data.

Full-screen mode offers a broader view of you chart, helping you dig into the details.

Relationship page: Mapping Community Connections

The Relationship page showed how members were connected, active, or starting to drift. It;

Visualized the web of member connections across the community
Showed strong, weak, and fading links to help managers understand how members were communicating
Highlighted top contributors and clusters to watch

Interactive web showing member nodes with varying connection strength and contributor status.

Interactive network view showing member interconnections, alongside trends in strength, interactions, and community structure. On hover it presents more information on particular members.

Filtered network view showing strong, weak, and fading links for a selected member.

Filter view showing strong, fading, and weak links for an individual member, helping managers assess engagement strength at a glance.

Network visualization highlighting shared connections between multiple selected members.

Visualizing mutual connections between selected members with the ability to isolate interactions. This change increased the ease of scanning by 70%.

People page: Getting the Full Picture on Every Member

The People page brought everything about a member into one place; wallets, social accounts, tags, and activity. it;

Combined identity, activity, and platform data in a single view
Let managers filter by roles, platforms, or engagement status
Gave full engagement history, top channels, and relationship map per user

Member table with tags, activity bars, roles, and engagement metrics.

Members table with platform tags, activity graphs, and engagement status. Designed for quick scanning and bulk actions.

Search bar and dropdown filter interface with fields for name, tag, and platform.

Flexible filters let managers search by name, tag, platform, or activity status.

Sidebar filter panel with role, platform, and engagement criteria selection.

Filter options can be expanded for more accurate and granular search.

Expanded member view showing connected accounts, user status, risk level, and top activity trends.

Relationship map displaying an individual member’s top interactions in the community.

Relationship map for an individual member, making it easy to see their connections within the community.

Private notes helped teams share context on member behavior and flag potential actions.

Scrollable activity feed showing Discord actions like posts, replies, and voice channel joins.

See a member’s full activity across Discord—replies, reactions, voice joins, and more—all in one timeline.

Conclusion

Mithril helped community managers cut through the noise. Instead of guessing, they could act backed by data that actually made sense. Even in closed beta, 250+ Web3 communities, including Polygon and Gitcoin, saw the value. Clear design drives clear decisions.

Curious to learn about my approach, or how it could apply to your product? Let's chat!

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enyinnaya17@gmail.com

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