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Course Outline
Distributed Collaboration with Read AI
- Common hurdles in remote communication and teamwork
- Establishing Read AI as the primary meeting aid
- Identifying remote meeting formats: stand-ups, reviews, retrospectives, and planning sessions
Planning Workflows
- Building structured processes for recurring distributed meetings
- Assigning clear ownership and schedules for documentation and follow-ups
- Developing reusable agendas and templates within Read AI
Asynchronous Teamwork
- Distributing Read AI summaries to keep non-attendees informed
- Integrating Read AI with Slack, Teams, or Notion for asynchronous updates
- Linking meeting records to specific projects or OKRs for context
Automating Post-Meeting Actions
- Converting action items into automatic tasks
- Syncing Read AI with project management systems (Asana, Trello, Jira)
- Sustaining momentum through automated reminders between sessions
Monitoring Performance and Engagement
- Analysing speaker participation and engagement metrics
- Leveraging meeting data to improve time management and communication habits
- Establishing feedback mechanisms for ongoing refinement
Best Practices and Adoption
- Securing buy-in from team members and key stakeholders
- Addressing privacy, consent, and responsible AI usage
- Expanding the methodology across multiple departments or teams
Recap and Forward Steps
Requirements
- Solid grasp of distributed collaboration platforms and tools
- Practical experience managing or coordinating remote or hybrid groups
- Knowledge of meeting planning and project tracking methodologies
Target Audience
- Leaders of remote and hybrid teams
- Agile and Scrum practitioners
- Product leads
- Collaboration strategists
7 Hours
