Data on Demand is OpenBlend’s reporting feature, powered by Microsoft PowerBI. Data on Demand enables you to analyse your business’s live OpenBlend data.



Session Activity


This section of Data on Demand gives you visibility on employees interacting with different features in OpenBlend when within a session. 


These interactions include: 

  • Talking Points: Viewed
  • Actions: Viewed Actions: Updated
  • Blend: Viewed
  • Blend: Updated
  • Objectives: Viewed
  • Objectives: Update
  • Wellbeing: Viewed
  • Wellbeing: Updated
  • High Fives: Viewed
  • Feedback: Viewed
  • Feedback: Updated
  • Evaluate: Viewed


Session: Daily Feature Activity by Type

A pie chart showing the number of times an employee has interacted with particular features, at least once, during a session, within the timeframe set. In here you can see the number of interactions vs the percentage of employees who completed the activity.  

For example, in 2021 Wellbeing was updated 800 times by 5% of employees. 


Session: Daily Feature Activity

Showing the following statistics:

  • Percentage of employees who have had a session
  • Total number of employees who have had a session
  • Average number of days within the timeframe on which an employee had a session
  • Average number of days an employee had between sessions within the timeframe

For example, in 2021 employees, on average, employees had a session every 95 days. 


Session: Daily Feature Activity by Job Function, Employee Name and Activity Data

As above; however, in this view you are able to drill down into the data, in a table format, to see how many times employees interacted with the features in sessions. 

For example, employees within the Administration function did not view Talking Points in any sessions within 2021. 


Session: Daily Feature Activity Over Time

Data as per Session: Daily Feature Activity by Type graph; however, you can drill up and down in the time to view this by day, month, quarter and year.

For example, in Q1 2021 Blend was viewed 857 times within the employee sessions.


Learn more about drilling into the data here.