How to measure Views?

View is the third step of the Plek Engagement Score and reflects the amount of read (group) messages, information, and reference materials.

steps

View

If users have successfully activated their accounts and log in regularly, the next goal is for them to read your messages and information. View reflects how well your messages and content are being read. A reasonably active platform typically has a View score above 70, while highly successful platforms score above 80.

As the platform becomes more successful, View may actually decrease. Increased activity means users engage more selectively with personalized content, leading to a decline in the overall View score.

For larger organizations, View tends to be lower as well. Much of the shared news may be less directly relevant to individual employees, causing them to be more selective about what they read.

To enhance this score, consider using strategic approaches. Analyze user activity using our statistics to identify peak days and times. Post important messages just before these peak moments to increase visibility. Use a structured content calendar and plan posts in advance. Distribute messages over time to avoid an overwhelming flood of news at once. Keep messages short and clear, and regularly review the structure of information within your channels.

 

Want to increase the Views on your platform? 
Click here to see what you can optimize.

 

The Plek Engagement Score is available to users with the roles 'admin' and 'content manager' and can be accessed via the menu under your profile.

1. Go to your name in the top right corner
2. Go to the admin panel
3. Click on statistics
4. Click the yellow button “Try our new statistics”
5. In the main menu, click on "Views"

 

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Example 1: 'Normal Distribution'

In this example, we see a solid View score, with some variation over the months and a broad distribution throughout the day. View numbers remain relatively high even in the evening, indicating strong employee engagement.

This may be partly influenced by organizational policies that limit mobile phone use in the workplace, such as in childcare settings.

 

Example 2: 'Fixed Working Hours in Construction'

In this example, we see a good View score, but it is clear that messages are read early in the day, and users stop reading earlier as well. This is a typical pattern for industries with fixed working hours, such as construction.

 

Example 3: 'Irregular Working Hours in Healthcare'

In this example, we see a reasonable View score. What stands out is that relatively more messages are read on Saturday, Sunday, and in the evening. This is likely due to the irregular working hours in the healthcare sector.