When it comes to data-driven leadership and management, what you say—and just as importantly, what you don’t say—can have a powerful impact on your team’s culture and performance. Your leadership voice carries weight, signaling what matters most, whether you intend to or not. In a learning organization, being intentional about your words fosters accountability, clarity, and a shared understanding of how metrics connect to the mission.
Imagine you’re celebrating a team’s success. Do you simply say, “Great job hitting the goal”? Or do you highlight the specific actions and context that led to that success? The difference between these two approaches is huge. The first might feel good in the moment, but it misses an opportunity to reinforce what worked and why. The second approach not only celebrates success but provides a roadmap for replicating it in the future. Let’s dive into some practical examples of what to say—and what not to say—to promote thoughtful, data-driven leadership.
Instead of this | Say this | Why it matters |
---|---|---|
Congrats to the X team for hitting our NPS goal. | Congrats to the X team for hitting an NPS of Y; this is higher than last quarter by Z due to reducing the number of detractors by Z after following up with all of them individually. | Recognizing the process behind the result helps your team understand what drove success and how to replicate it in the future. |
NPS is a standard vetted metric that we have always tracked. | NPS is an externally vetted metric that we care about because it is an important indicator of satisfaction levels, a leading indicator of X metric that is critical for our mission. | Connecting metrics to the mission gives context, purpose, and meaning to the numbers your team is tracking. |
Send me data that shows X. | I have a meeting with the board next week and I’d like to be able to tell the story of X. What data do we track that could help us responsibly tell this story? | Providing context for your request invites thoughtful analysis and ensures your team isn’t wasting time generating irrelevant or inaccurate data. |
Did you hit your X goal? | What is X currently? How does that compare to expectations? How does it compare to historical and external benchmarks? What explains current performance? What are your planned next steps? | Asking broader, contextual questions helps your team think critically about their performance, rather than narrowly focusing on whether they hit a target. |
Words are powerful. As a leader, the way you talk about metrics and performance can shape how your team thinks, acts, and learns. By being intentional with your language, you not only drive better results but also foster a culture of curiosity, accountability, and continuous improvement.