Understanding 1:1 Insights

Similar to how you can analyze the performance of your employees on the basis of how well they’re aligned with the company objectives, you can also evaluate the effectiveness of the 1:1 conversations your employees are having. And you can do so for both managers and their direct reports. This is where you get to understand the impact of 1:1 on your employees.

If you’ve been using Mesh for some time, you’ll know that the first step to analyzing the behavior of your employees on Mesh is selecting a cohort. 

Next, there are two types of views available under 1:1 Insights.

1. View by Manager
2. View by Individual

While both the views will be accessible to both admins and managers, the “view by manager” will be restricted for managers to show the details about their 1:1s only. It will not include the data on any other managers from the company. 

View By Manager

The "Group by Manager" view is primarily helpful for admins/ managers to understand the overall effectiveness of the 1:1s, where they’re acting as managers. Precisely, it clears the air around,

• How consistently managers are having their 1:1s
• Are the 1:1s leading to effective outcomes 
• How are they being rated by their direct reports 
• What's the average score received by the manager from their direct reports
• What's the average mood displayed by their reports

Now, coming to the view itself,

The bar graph at the left corner gives information on the number of managers that have completed a designated percentage range of 1:1s. The ranges are predefined and basis the number of managers in the selected cohort, the graph will give an overall idea of the consistency of 1:1s being conducted. Companies that practice 1:1s mostly have a defined periodic cadence for the managers to conduct it with their direct reports. Hence, it'll be helpful for admins to understand which managers are not following the stipulated schedule.

The section on the right hand side however, showcases the top/ bottom 3 managers with the most/ least number of 1:1s till date, from the selected cohort. This is helpful for admins in zeroing down on the managers guilty of not being at par with the number of 1:1s they ought to be doing.

Finally, the list at the bottom shows you more detailed data on the 1:1 performance of your managers.

This include columns on,

• Total 1:1s - Number of 1:1s scheduled by the manager with their direct/ indirect reports
• Planned % - Percentage of 1:1s with agenda/ action items added before the meeting
• Documented % - Percentage of 1:1s with agenda/ action items added during/ after the meeting
• Completed % - Percentage of 1:1s done, out of the 1:1s scheduled with their direct/ indirect reports. The completed % is calculated by averaging the completion % of all of their team members.
• Mood received - Average mood of the manager's direct and skip-level reports
• Score received - Average 1:1 score received by the manager from their direct and skip-level reports

Difference between the total and completed will outline the meetings that were scheduled but the manager didn't join.

There's also a cascaded view, clicking on which will open the team members reporting to the manager as well as the teams reporting to the manager (like a skip-level manager). This will help admins understand the 1:1 metrics for internal teams as well.

View By Individual

The individual view flips the analysis to now show you data on individual employees basis their 1:1s with their reporting managers. The representation and the kind of information you get from this is similar to that of the manager view, just the data changes. 

The bar graph on the left shows the same information but for direct reports this time while the frequency counter on the right shows the direct reports with the most/ least 1:1 participation.

Coming to the list at the bottom now, the columns are also identical, except, 

• Mood received changing to mood given
• Score received changing to score given

So as to display the average mood and score given by the individual to their direct reports.

Note: The data we show for 1:1 Insights is historical in nature, that is, we only show the data for what has already happened. For example, in the case of Total 1:1s, if the timeline selected is December, you'll only get to see the total 1:1s that have been scheduled till today. Similar is the situation with planned % as well.