Let’s be honest: this isn’t the sexiest blog title I’ve ever written. In fact, our marketing team tried to talk me out of it many times. But stick with me — because if you’re trying to use your employee engagement survey to build a healthier, high-performing culture, this might be one of the most important shifts your organization can make.
We often ask our clients: If you have limited budget, energy, and resources to improve employee well-being, what two things can you do that would have the largest impact?
If you've asked yourself that question, then you’re already asking the right questions. The answer starts with how you use your people data — and more specifically, how you disaggregate it.
What is Disaggregated Data (And Why Should Leaders Care)?
Disaggregated data might sound intimidating - but really, it's just a fancy label for breaking down survey results by meaningful groups — like department, location, tenure, or demographics.
For example, when you receive your results from our Employee Insights Survey:
- Aggregated data might tell you that your company-wide well-being score is 75/100
- Disaggregated data, however, might show that that HR is at 78, but Finance is at 72, and your tenured employees are struggling more than your new employees.
Breaking your data down transforms your ability to act. It lets you move from broad assumptions to targeted, high-impact interventions.
Why Team-Level Insights Matter
Imagine this scenario: You run an employee engagement survey with 24 employees and discover that 50% of your people don’t feel valued at work. That’s a big deal.

But where do you go from there? The big question is: what do you now do as a leader to create the most significant impact? Let's consider three very different possibilities in your data.
Scenario 1: An Organization-Wide Challenge
Each team reports the same issue - half of the employees in every department feel undervalued.
That’s your cue for a culture-level intervention: recognition programs, leadership training, or redefining values from the top down.

Scenario 2: A Team-Specific Challenge
Team A is thriving. Teams B and C? Not so much. Here, you don’t need a full-company strategy — you need to equip specific managers with the tools and support to lead more effectively.

Scenario 3: A Systemic Equity Issue
What if 75% of women feel undervalued, while 75% of men feel the opposite? This isn’t just about teams — it’s about systemic gaps. In this case, your focus should shift to Equity, Diversity, and Inclusion strategies that address the root causes of those disparities.

Disaggregated Data Makes Insights Actionable.
A single average score only tells part of the story - and the scenarios above illustrate just how complex one insight can be. But when you slice the data by team, identity, or role, you uncover patterns that actually help you lead better.
This is where disaggregation becomes a your key to impact — turning one insight into the right action, in the right place, at the right time.
What This Looks Like in Practice
With our WorkWell Insights, this is our bread and butter. We help leaders:
- Visualize results using heat maps that clearly highlight where to act
- Break down results by teams, demographics, roles, tenure, and any group that matters to you
- Ensure confidentiality by only reporting on groups of 5+ responses
- Support team leads in interpreting their results and building action plans
Because Insights are only as good as the impact they create. And it's our job to help you find the one or two actions that will give you the biggest bang for your buck.

The Bottom Line
If you’re trying to stretch a limited budget, team capacity, or timeline, there’s one question you should always ask:
“Where can we focus that will make the biggest difference?”
Disaggregated data gives you that answer - and it’s the difference between making a small dent and creating meaningful, measurable change.
Want to learn more about how we help you make the best data-driven decisions? Are you curious how your own organization would show up on that heat map? Let’s talk. We’re looking forward to helping you use and act on your data better.