Course curriculum

    1. 1.1 Definition of Collaboration analytics

    2. 1.2 Understanding the Significance of Collaboration Analytics

    3. 1.3 The Impact of Data-Driven Collaboration

    4. 1.4 Continuous Collaboration Analytics

    5. 1.5 Aligning collaboration analytics with overall business strategy

    1. 2.1 Key Metrics

    2. 2.2 Communication Volume, Response Time, and Engagement in Meetings

    3. 2.3 Project Completion Time, Document Collaboration, Cross-Team Collaboration

    4. 2.4 Task Distribution, Meeting Effectiveness, and User Adoption of Collaboration Tools

    5. 2.5 Key metrics: Knowledge Transfer, Employee Satisfaction, Innovation Metrics

    1. 3.1 Steps on Data collection and preparation for collaboration analytics

    2. 3.2 Data Sources for Collaboration Analytics

    3. 3.3 Messaging Platforms for Collaboration Analytics

    4. 3.4 Utilizing Project Management Tools for Collaboration Analytics

    5. 3.5 Employee Surveys and Feedback Tools for Collaboration analytics

    1. 4.1 Importance of Predictive factors in team collaboration

    2. 4.2 Communication, Team Dynamics, Leadership

    3. 4.3 Shared Goals and Objectives, Technology and Tools, Trust and Psychological Safety

    4. 4.4 Task Interdependence, Adaptability and Flexibility, Feedback Mechanisms

    5. 4.5 Individual Contributions, Knowledge Sharing

    1. 5.1 Collaboration Analytics Trends

    2. 5.2 Real-time collaboration

    3. 5.3 Behavioral analytics

    4. 5.4 Human-centric analytics

    5. 5.5 AI (Artificial Intelligence) and machine learning integration in collaboration analytics

About this course

  • 25 lessons
  • 0.5 hours of video content

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