Employee Leaderboard

The Employee Leaderboard feature within the Analytics menu, helps track and visualize employee performance based on their social media engagement.

 

Accessing the Leaderboard:

  1. Navigate to the Analytics menu -> Employee Performance.

 

Understanding the Leaderboard:

The Leaderboard is a table that displays employee names and their corresponding total points per month. Points are awarded based on specific social media actions, as detailed below.

 

Point Distribution:

  • Share or Sharing Original Content: 50 points (An employee creates an original post based on content provided by the marketing team)
  • Reshare or Resharing Company Posts: 30 points (An employee shares a post published on the company's social media page)
  • Like Liking Company Posts: 10 points (An employee likes a post published on the company's social media page)
  • Clicks: 20 points (The number of times the employee's network clicks on a company post they shared)

 

Calculating Employee Points:

Each employee's total points are calculated by multiplying the number of their respective actions (Shares/Reshares, Clicks, Likes) by the corresponding point value per action and then summing those values.

Example:

John Doe has:

  • 18 Shares/Reshares
  • 3 Clicks
  • 3 Likes

John Doe's total points would be:

(18 Shares/Reshares * 50 points/share) + (3 Clicks * 20 points/click) + (3 Likes * 50 points/like) = 1110 points

 

Benefits of the Leaderboard:

  • Track employee performance: The Leaderboard provides a clear view of how employees are performing in terms of social media engagement.
  • Motivate employees: The gamified aspect of the Leaderboard can motivate employees to be more active on social media.
  • Identify top performers: The Leaderboard helps identify employees who are consistently generating high engagement.

Note:

The Leaderboard currently tracks social media engagement metrics such as Shares/Reshares, Clicks, and Likes. This point distribution and the available metrics may be subject to change based on future updates.