Data visualization can sometimes struggle to show how individual and team performance compares. This happens because of a few main problems:
Complex Data: Performance numbers can become too complicated, making it hard to understand the key points.
Misunderstandings: People might misread the visual data. This can cause them to make wrong decisions.
Missing Background: If a visualization doesn't provide enough background information, it can hide the true reasons for performance differences.
To fix these challenges, we need a better approach. By mixing hard data (the numbers) with helpful insights (the reasons behind the numbers), we can improve understanding. This way, we can make better decisions and focus on where to make improvements.
Data visualization can sometimes struggle to show how individual and team performance compares. This happens because of a few main problems:
Complex Data: Performance numbers can become too complicated, making it hard to understand the key points.
Misunderstandings: People might misread the visual data. This can cause them to make wrong decisions.
Missing Background: If a visualization doesn't provide enough background information, it can hide the true reasons for performance differences.
To fix these challenges, we need a better approach. By mixing hard data (the numbers) with helpful insights (the reasons behind the numbers), we can improve understanding. This way, we can make better decisions and focus on where to make improvements.