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Teams let you collaborate on blockchain analyses with colleagues, sharing chats, insights, and workflows in private workspaces.

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What Are Teams?

Teams are shared workspaces where you can:
  • Share chats privately with team members
  • Collaborate on analyses without making them public
  • Maintain context across multiple team members working on the same project
  • Organize work by project, client, or research area
Unlike public sharing, Team chats stay private to your organization.

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Setting Up a Team

1

Create a Team

  1. Click the Teams panel in the bottom-left of Flipspace
  2. Select Create new team
  3. Name your team (e.g., “Research Team,” “Client Analytics”)
2

Invite members

  1. Open your Team settings 2. Click Invite members 3. Enter email addresses for team members
  2. Set permissions (view-only or full access)
3

Start collaborating

  • Any chat created while a Team is selected will be accessible to all team members
  • Team members can view, fork, or continue conversations

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Using Teams Effectively

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Organize by Project

Create separate Teams for different workstreams:
  • Client work: Keep client analyses separate and confidential
  • Research initiatives: Organize long-term research projects
  • Internal ops: Track protocol monitoring or risk assessments

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Share Context, Not Just Results

Teams preserve the full conversation history, so teammates can:
  • See how you arrived at conclusions
  • Understand your methodology
  • Build on your work without starting from scratch

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Use Teams with Rules

Establish team-wide Rules to ensure consistent output: 
Example: Create a shared Rule for your team's reporting style:
- Charts use company brand colors
- All analyses include TVL, user count, and transaction volume
- Summaries follow the "Problem → Data → Insight → Action" framework

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Permissions

RoleCapabilities
AdminCreate/delete Teams, invite/remove members, full chat access
MemberAccess all Team chats, create new chats, fork conversations
View-onlyRead Team chats, fork to personal workspace

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Best Practices

Use descriptive names so teammates can quickly find relevant analyses:
  • “Arbitrum DEX volumes Q1 2024 - Client X”
  • “Aave liquidation analysis - Risk report”
If you want to explore a tangent without cluttering the main chat:
  1. Fork the conversation
  2. Experiment in your forked version
  3. Share back to the Team if the tangent proves valuable
At the end of major analyses, add a summary message:
  • Key findings
  • Data sources used
  • Limitations or caveats
  • Suggested follow-ups
Create a “Reference” Team for:
  • Standard analyses your team runs repeatedly
  • Definitions of custom metrics or thresholds
  • Template prompts for common questions

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Common Workflows

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Research Collaboration

  1. Lead researcher creates initial analysis in Team workspace
  2. Team members review, ask follow-up questions, validate findings
  3. Lead synthesizes feedback into final report
  4. Team publishes final version (if appropriate)

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Client Reporting

  1. Account manager creates Team for Client X
  2. Analysts collaborate on recurring reports within the Team
  3. Quality check: senior team member reviews before client delivery
  4. Export polished artifacts for client presentation

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Protocol Monitoring

  1. Create a “Protocol Health” Team for ongoing monitoring
  2. Set up recurring analyses (weekly TVL, user growth, etc.)
  3. Team members rotate responsibility for updating reports
  4. Alerts: flag anomalies or concerns in Team chat for visibility

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Next Steps

Artifacts

Create shareable outputs from Team analyses

Rules

Create consistent output styles for your Team

Automations

Use Automations for Team analyses

Troubleshooting

Fix common issues