When it comes to measuring the success of a well-being program, it’s critical to look at more than just registration numbers. HR and benefits leaders are often under pressure to demonstrate the ROI of wellness programs—and simply looking at how many people sign up can’t do that. What separates effective programs from underperforming ones is an understanding of what drives employees to participate, complete a health assessment, and engage with the well-being program over time. By reading this article, you’ll come away with a clear understanding of how to measure well-being program engagement (including the tools to use), a step-by-step measurement approach and awareness of the common barriers you may encounter.
Measuring employee engagement goes beyond registration rates.
Amidst the excitement of rolling out a well-being program or gathering data on an existing one, it’s tempting to focus on registration numbers. While the number of people who register for the program is important, it should not be equated with true engagement in the program or its success. Signing up for a well-being program is a one-time action that signals a participant’s intent to engage with it, but not their actual behavior. A program can post strong sign-up numbers while still failing to change health risks, build habits or deliver ROI. So what are we looking for then?
At WebMD Health Services, we believe that genuine employee engagement with a well-being program is characterized by intrinsic motivation paired with an emotional connection to improvement. It is this type of engagement that we can use to make a solid business case. In other words, engagement, when measured well, is what connects well-being program spend to common ROI measures like reduced healthcare costs, and increased productivity and retention. While measurement can be challenging, it’s vital. After all, a well-being program cannot improve if we are not accurately tracking key metrics, which we’ll address in the next section.
Key metrics to track well-being program engagement.
Engagement in a well-being program is multidimensional, which is why it’s best understood using a combination of metrics. WebMD believes there isn’t one metric, prescribed scorecard or fixed set of variables that fits every organization, because the right measures depend on a company’s goals, the type of program it offers and the maturity of the program.
The strongest measurement approaches pair hard usage and outcomes with the human signals behind them, and knowing whether someone is truly engaged means reading across several variables at once. To start, we recommend first looking at participation metrics to gauge how a well-being program is being used; then, we can move deeper into the data to understand the quality of that engagement. Keep in mind that the right mix of metrics might shift from year to year as program goals evolve, so it’s important to be flexible.
In the next two sections, we’ll review the two types of metrics that help to tell the story of well-being program engagement: quantitative metrics that show what is happening, and qualitative measures that explain why. Together, these paint a far more accurate picture than participation rates alone.
Quantitative metrics that reveal participation trends.
Here are some quantitative metrics leaders should track over time:
- Active usage and repeat-engagement rates. This shows how many participants return over time and whether they try different modalities or program components, not just whether they sign up.
- How people connect with the program. Modes of interaction might include mobile, tablet, computer, in person or by phone with a Health Coach. We also want to track how frequently they interact, for example, whether there are multiple touchpoints per week or month.
- Health assessment completion rates. This is a key data point that tracks the number of individuals who complete the health assessment on the well-being platform.
- Biometric screening completion. Biometric health screenings provide baseline data that can be used to track health risk improvement over time, an indicator that a well-being program is working.
- Wellness challenge participation. The number of people who participate in wellness challenges can be a good way to measure wellness program engagement.
- Program component participation. Understanding which offerings resonate the most over time will help reveal the type of support participants need, and also allow you to see how these programs are helping people achieve their goals, change behaviors and reduce health risks.
- Coaching or digital tool utilization. It’s helpful to track the number of people leveraging human services, such as Health Coaching or Dedicated Well-Being Services, including onsite Health Coaches. Our data shows that interaction with these services drives a 30% greater change in health risk among their populations.
- Population segment participation. Track differences at the segment level, such as job level, demographics and location, to determine whether certain population groups engage more, less, or differently, which points to where the program can be tailored.
Qualitative measures that capture genuine impact.
Quantitative data shows “what” is happening with the well-being program, while qualitative input reveals the “why” and offers unique insight into how to engage employees in wellness programs. Employee sentiment and satisfaction data can indicate whether people are delighted with their program experience, and can be gauged in a number of ways: quick pulse checks while participants are using the platform; self-reported behavior change; open-ended survey responses; focus-group and one-on-one feedback; and perceived relevance of the program to employees’ lives.
Tools and approaches for collecting engagement data.
Now that we’ve discussed the two types of data that inform well-being program engagement, we can turn our attention to how to collect the data. When data is collected reliably and consistently, it’s easier to draw solid conclusions about well-being program engagement. That’s why relying on a patchwork of disconnected point solutions or one-off surveys often results in an incomplete picture. Let’s take a look at two ways we typically collect data: platform analytics and health assessment insights, and surveys and other employee feedback mechanisms.
Platform analytics and health assessment insights.
The advantage of having an integrated well-being platform—like WebMD ONE—is that it can serve as the primary engine for engagement data, capturing usage, completion and behavior data continuously rather than in periodic, manual pulls. With core solutions in one place versus scattered across disconnected tools, participant journeys are visible and end-to-end. Reporting and analytics tools can surface data such as: login frequency, feature-level usage, drop-off points and health assessment results that establish health risk baselines. The platform enables comprehensive data collection by prioritizing an intuitive mobile experience. This means deskless and frontline workers engage through the same collection tool as office workers—so your participation data accurately represents all population segments.
Surveys and employee feedback mechanisms.
Data that is collected via the well-being platform can be complemented by survey and feedback infrastructure. We typically use annual or biannual surveys to gauge baseline sentiment about the well-being program, and short pulse surveys for near-real-time insights between more formal surveys. And, of course, there are “always on” feedback channels that participants can use to deliver in-the-moment feedback.
When it comes to surveys, it’s important to employ best practices that result in trustworthy data:
- Clear and neutral questions;
- Appropriate survey length;
- Genuine assurances that feedback will be anonymous; and
- A consistent cadence so results are comparable over time.
Perhaps most importantly, it’s critical to close the loop with participants by sharing what was heard, as visible responsiveness sustains future participation and response rates.
Finally, consider making it a consistent practice to invite employee feedback through the same communication channels you use to promote the well-being platform. Strategic communication effectively captures employees’ attention. In fact, we’ve found that using WebMD’s communication services drives a 30% higher registration rate. These channels offer proven reach. Since you already have your population engaged with these messages, do not miss the opportunity to leverage that same visibility to collect valuable feedback.
A step-by-step approach to measure well-being program engagement.
So how do you put a measurement strategy into practice? In the next section, we share a practical, repeatable workflow that ties the metrics and tools above into an implementable measurement strategy. It’s important to note that this activity is a cycle, not a one-time project—the final step loops right back to the first step. The workflow described below is applicable to organizations measuring employee engagement for the first time or refining an existing approach.
1. Define what success looks like.
It’s important to anchor measurement in your program’s goals and the outcomes leadership cares about, then select the specific quantitative and qualitative metrics that map to them. Keep in mind that success looks different depending on the type of program offered and its maturity. It’s acceptable to judge a first-year program on participation and adoption, while a mature program should be measured more on behavior change, risk improvement and outcomes. Decide what to track up front, and ensure it is calibrated to program type and maturity, so that measurement is tied to objectives rather than collected at random.
2. Establish a baseline.
Capture the starting values for each chosen metric at program launch or at the start of the measurement period, including health risk levels from initial assessments. The baseline is the reference for all future progress, so it’s worth spending time here to ensure the data is solid.
3. Collect data consistently across sources.
Consistently pull quantitative data from platform analytics and qualitative data from surveys and feedback channels at a regular, predictable cadence. Consistency of timing and collection method is what enables you to compare results over time.
4. Segment the data.
Segment your data to surface groups who are underserved and where access, communication or incentive design needs to change. You might break down results by department, location, role type and population. For example, frontline or deskless employees face unique barriers to access and usage and may require a different approach.
5. Benchmark and interpret.
Compare your results to your baseline and, where possible, to industry or workforce-size peers. This contextualizes your data, taking into account that certain industries or company types naturally start from a higher or lower baseline. Benchmarking allows you to see whether a low metric reflects a unique organizational gap you need to fix or if your performance is actually highly competitive for your sector. Always analyze quantitative trends alongside qualitative insights to explain not just what changed, but why.
6. Act, communicate and repeat.
The final step in the process is to report results to leadership and share back with employees what you intend to change as a result of their feedback. Then, it’s important to actually turn these findings into specific program adjustments. At this point, the process returns to step three to measure again, so that measurement becomes a continuous loop.
How to use engagement data to improve your program.
Data only creates value when it changes something. In our case, data serves to inform two distinct audiences: leadership, who are most interested in the ROI story, and program design staff, who need the operational detail to determine how to change program offerings. We address these two audiences below.
Communicating results to leadership.
The first step in communicating results to leadership is to translate engagement data into the language leadership responds to: business outcomes, cost avoidance and wellness program ROI. It’s powerful to share health risk improvement and its effect on healthcare costs, productivity and retention. You can add color to these results with usage and sentiment data. A concise, trend-based narrative will be more effective for this audience than a mere data dump. Also, be sure to tie the results back to the goals defined in step one of the measurement approach. WebMD helps clients with this task by offering actionable reporting and ongoing strategic reviews to help leaders frame outcomes for executive audiences.
Refining program design with data-driven insights.
As mentioned previously, collecting data and asking for feedback is meaningless unless that data is used to enhance the program and make it more responsive to user needs. Use the segmentation data you collect to pinpoint which populations are underserved and make a plan to improve access. Analyze component-level usage with an eye toward which offerings should be expanded or retired. Rely on qualitative themes to reveal the relevance of your programs to participants or where you may need more communication. Beyond specific well-being offerings, data should also inform the foundational elements that drive participation, such as how you design rewards, communicate with employees, personalize the experience and build a supportive culture around the program.
WebMD’s ongoing strategic reviews are designed to reinforce this continuous-improvement mindset, evolving the program based on outcomes rather than assumptions.
Common barriers to measuring well-being engagement.
Measuring well-being engagement is not without its challenges. Here are a few common obstacles leaders encounter and how to address them:
- Low survey response and self-selection bias: shorten surveys, assure anonymity and close the loop visibly.
- Fragmented or siloed data across disconnected tools: consolidate offerings onto an integrated platform.
- Over-reliance on registration as the headline metric: shift reporting toward usage and outcomes.
- Difficulty reaching deskless or hourly populations: prioritize mobile access and vary your communication channels.
- A long time period between collecting data and acting on it: regularly communicate with employees about the timeline for change to avoid the erosion of trust, which may happen when nothing visibly changes.
Overcoming these measurement barriers requires effort, yes, but it can also reflect strategy and available infrastructure—so be sure to examine any root causes.
Building a measurement strategy for lasting change.
Measuring well-being program engagement shouldn’t be viewed as a compliance exercise. Rather, it should be seen as a strategic capability that produces valuable insights that compound over time as each measurement cycle informs and sharpens the next program decision. That’s why, as we’ve outlined in this article, it’s so critical to broaden our thinking about what it means to be engaged in a well-being program beyond registration to actual usage, outcomes and sentiment. This data, collected through the right tools and run as a continuous loop, is what produces lasting behavior change and a defensible ROI story that satisfies executive leadership.
WebMD is your everything well-being partner. We bring the platform, the feedback tools, the benchmarking data and the strategic guidance to make sustained measurement possible, backed by 25+ years of research-backed program design.
We invite you to explore our well-being solutions or request a demo.
