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Topic Tagging: Aligning Communication with Company Objectives

1 min read

The Topic Tagging feature in Company Topics allows organizations to categorize and track internal communications in relation to company objectives. This article explores the functionality of this powerful tool.

1. Tag Creation and Management #

Functionality: #

  • Create, edit, and delete tags
  • Organize tags in hierarchical structures
  • Set tag colors for visual identification
  • Define tag descriptions for consistent usage

Tag Types: #

  • Strategic objectives
  • Departmental goals
  • Project-specific tags
  • Content categories (e.g., announcements, policies, events)

2. Tagging Process #

  • Multi-select tagging for content
  • Suggested tags based on content analysis
  • Bulk tagging for multiple items
  • Automatic tagging based on predefined rules

3. Tag Application Across Modules #

  • Apply tags in Company Connect posts
  • Tag email newsletters
  • Categorize chat conversations
  • Label documents and files

4. Search and Filtering #

  • Advanced search functionality using tags
  • Filter content across all modules by tag
  • Combine tags for complex queries
  • Save frequently used tag filters

5. Reporting and Analytics #

Reach Metrics: #

  • View count per tag
  • Unique user reach for tagged content
  • Time-based engagement rates for tags

Impact Analysis: #

  • Engagement levels (likes, comments, shares) per tag
  • Comparison of reach and engagement across tags
  • Identification of high-performing content by tag

Workforce Insights: #

  • Tag interaction patterns across departments
  • Identification of knowledge gaps based on tag engagement
  • Tracking of strategic alignment through tag usage

6. Visualization Tools #

  • Tag clouds to represent popular topics
  • Heat maps showing tag usage across the organization
  • Timeline views of tag usage and evolution

7. Integration with Other Features #

Target Groups: #

  • Create dynamic groups based on tag interactions
  • Tailor content distribution using tag-based audience segments

Narrowcasting: #

  • Display content on digital signage based on tags
  • Rotate content categories using tag schedules

Multilingual Support: #

  • Automatic tag translation for global consistency
  • Language-specific tag sets for local relevance

8. Compliance and Governance #

  • Mandatory tagging for certain content types
  • Approval workflows for new tag creation
  • Audit trails for tag usage and changes

9. User Permissions #

  • Role-based permissions for tag creation and management
  • Delegate tagging responsibilities to content owners
  • Set viewership restrictions based on tags

10. API and Extensibility #

  • RESTful API for custom tag management
  • Webhook support for tag-based automation
  • Integration with third-party analytics tools

11. Machine Learning Enhancements #

  • Auto-tagging suggestions based on content analysis
  • Trend prediction for upcoming relevant topics
  • Anomaly detection in tag usage patterns

By leveraging the Topic Tagging feature, organizations can ensure that their internal communications are aligned with company objectives, easily trackable, and measurable in terms of reach and impact. This functionality provides valuable insights into workforce engagement with strategic initiatives and helps in identifying areas that may need more communication focus.

Updated on October 8, 2024
align company, align with company goals, align with company objectives, business objectives, company goals, company goals communication, objective topics

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Table of Contents
  • 1. Tag Creation and Management
    • Functionality:
    • Tag Types:
  • 2. Tagging Process
  • 3. Tag Application Across Modules
  • 4. Search and Filtering
  • 5. Reporting and Analytics
    • Reach Metrics:
    • Impact Analysis:
    • Workforce Insights:
  • 6. Visualization Tools
  • 7. Integration with Other Features
    • Target Groups:
    • Narrowcasting:
    • Multilingual Support:
  • 8. Compliance and Governance
  • 9. User Permissions
  • 10. API and Extensibility
  • 11. Machine Learning Enhancements
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