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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This course is a valuable component of Certified Strategic HR Leadership Certification (SHRL-C) program.
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What this collaboration analytics course covers

See how work actually flows across your organization, using the data your collaboration tools already collect.

  • Mapping how work really moves through your teams

    Learn to read collaboration data — meeting load, response patterns, network density — to see where work genuinely gets done versus where it just looks busy.

  • Spotting burnout risk and bottlenecks early

    Overloaded connectors and after-hours activity spikes show up in collaboration data long before they show up in an engagement survey. Learn to catch them first.

  • Who this course is for

    HR and people analytics professionals who want objective, behavioral data on how teams actually collaborate.