You created a chart showing that your team's customer support response times improved from an average of 4.2 hours to 3.8 hours over the past month. When sharing this finding with leadership, which of the following is the most important additional context to include?

When presenting data to leadership, it's crucial to provide context that helps them understand the significance and drivers of the observed changes.

• A detailed technical explanation of how the data was extracted from the support system is generally too granular for a leadership update. While important for data integrity, it's not the most critical context for understanding performance.
• The time period, sample size, and any changes (such as new hires or process updates) that may have contributed to the improvement is the most important context.
  • The time period clarifies the scope of the data.
  • The sample size indicates the reliability of the findings.
  • Changes (like new hires or process updates) directly explain why the improvement occurred, allowing leadership to attribute success to specific actions and make informed decisions about future strategies.
• Only the percentage improvement, since leadership prefers simple numbers is insufficient. While simplicity is valued, providing only a number without any explanatory context prevents leadership from understanding the underlying causes or implications.
• The raw data file so leadership can verify the numbers themselves is usually not the initial context provided. Leadership typically wants summarized insights and explanations, not raw data to sift through, unless they specifically request it for a deeper dive.

Therefore, understanding the factors that contributed to the improvement is paramount for leadership.

The correct option is:

• The time period, sample size, and any changes (such as new hires or process updates) that may have contributed to the improvement