Picture the scenario. An HR team spends the better part of a quarter evaluating wellness platforms, negotiating a contract, coordinating the IT deployment, and preparing the internal communications campaign. The launch lands with reasonable fanfare. Three months later, usage data shows that fewer than one in ten employees have logged in since the first week. The budget is spent. Adoption is flat. Leadership wants to understand what went wrong.
Nobody made an obviously bad decision. The platform was credible. The need was real. The communications were clear. And yet the programme sits largely unused, which is where most wellness initiatives quietly end up.
What if the problem was not the programme itself, but the order of operations?
Why Wellness Initiatives Fail Before They Start
The failure pattern tends to follow a familiar sequence. Leadership identifies a priority – mental health, financial stress, physical activity, and signals intent to act. Procurement evaluates platforms. IT handles the deployment. HR prepares the rollout. And then the organisation waits for adoption that, more often than not, does not materialise at the expected rate.
What is missing from that sequence is any behavioural signal from employees before the investment is made. The decisions that determine the programme’s fate – what to buy, how to structure it, which features matter – are made almost entirely on the basis of survey data and vendor demonstrations. Neither of those tells you whether employees will actually change their behaviour when the programme goes live. They tell you what people say they want, which is a different question entirely.
Gallup’s research on employee engagement has long noted the gap between stated preferences and actual behaviour in workplace programmes. The same dynamic applies here. Employees consistently report wanting better mental health support and financial wellbeing resources. That same population, when a platform is deployed, often does not engage with it beyond the first login.
This is not a uniquely HR problem. Product teams in technology made the same mistake for years – building fully featured products based on market research and customer interviews, launching them at significant cost, and discovering that the assumptions underpinning the investment were wrong. The response that emerged from that experience was a leaner approach to validation: test the smallest version of the idea with a real group before committing to the full build.
The parallel for HR is direct. A company that deployed a gamified fitness challenge platform to its entire workforce, only to find that the same outcome could have been produced with a shared spreadsheet and a Slack channel during a two-week pilot, has learned something expensive. It learned that the demand it assumed existed at scale actually existed in a much narrower form. That is a useful lesson. It would have been more useful, and considerably cheaper, to learn it before the platform contract was signed.
The MVP Mindset Applied to People Programs
The term “MVP (minimum viable product) comes from software development, but the underlying logic is not technical. It is simply this: before you invest in scale, validate that the thing works at small scale. Build the smallest version that still delivers the core value. Run it with a real group. Measure what people actually do, not what they say they’ll do. Then decide.
Applied to wellness programme design, this means treating a four-week pilot with one team as a more reliable data source than a company-wide needs assessment survey. Not because surveys are useless, but because they measure intent. A pilot measures behaviour. And behaviour is what determines whether a programme succeeds at scale.
The structure is straightforward. First, design the smallest version of the programme that still delivers its core value proposition – not a stripped-down replica of the full platform you plan to buy, but a genuinely minimal version that tests the underlying assumption. Second, run it with a defined group for a defined period, with clear metrics agreed upfront. Third, make a decision based on what the data shows.
The metrics question is where many pilots go wrong. Asking participants whether they found the programme valuable is not validation. It measures satisfaction, which is shaped by social desirability bias and the general human tendency to say positive things about experiences that have just ended. The metrics that matter are behavioural: did participation hold or grow over the pilot period without additional prompting? Did participants re-engage voluntarily after the first session? Did they refer colleagues within the group? “Employees said they liked it” is not a green light. “Employees came back without being asked” is.
This is not a lower-ambition approach to programme design. It is a faster path to getting the programme right.
What a Wellness MVP Actually Looks Like in Practice
The mental health support use case is one HR teams return to frequently, and it illustrates the principle well. The instinct is to deploy a comprehensive platform: therapy access, guided meditation, manager training modules, crisis support lines. The investment is significant. The assumption is that if the resources are there, employees will use them.
A leaner approach looks different. Run a four-week structured peer support programme in a single team. A trained internal facilitator, a fixed weekly meeting cadence, and a simple anonymous feedback form at the end of each session. The infrastructure is minimal. The metric is clear: what is the voluntary participation rate in week four compared to week one? If it holds or grows in the absence of novelty and without additional incentives, the demand signal is real. If it drops sharply, that is also useful information.
Financial wellness follows the same logic. Rather than purchasing a financial wellbeing SaaS platform and deploying it across the organisation, partner with a single external financial adviser and offer three optional lunchtime sessions to one department. Do not incentivise attendance. Do not add it to performance conversations. Just offer it and observe who shows up. SHRM research on voluntary benefit utilisation consistently finds that unprompted participation is the most reliable predictor of sustained engagement. If attendance holds across all three sessions without reminders, you have validated demand before a procurement process has even begun.
In both cases, what is being tested is not whether the idea is good in the abstract. It is whether this group of employees will change their behaviour in response to this kind of programme. That is the question that determines whether scaling is worth the investment.
Once that behavioural signal is confirmed, the decision shifts. It is no longer “should we do this.” It becomes “how do we build this in a way that works at ten times the current scale.” That is a much easier conversation to have with a clear evidence base behind it.
When Digital Tools Enter the Picture
There is a point in the lifecycle of any validated programme where manual coordination stops being sufficient. A peer support structure that works for fifteen people in one team does not work for four hundred people across six locations without a different kind of infrastructure. At that point, the question of digital tooling becomes practical rather than speculative.
What is worth noting is that the same logic governing effective wellness programme design – test small, observe real behaviour, build based on what actually works – also governs how experienced development teams approach building the digital infrastructure to support those programmes. Teams working in MVP development, apply an incremental validation approach for the same reasons HR teams should: building the full version before you understand what users actually need produces expensive results that miss the mark.
Organisations that have validated a programme behaviourally and are ready to build a digital layer around it are in a strong position. They know what the programme needs to do, because they have watched it work in practice. That clarity makes the development process considerably more efficient. Teams like Dinamicka Development, which work with organisations building custom digital tools and internal platforms, tend to describe the most productive client engagements as ones where the brief is grounded in observed use – where the HR team has already run the pilot and knows which features genuinely serve the programme, rather than which ones seemed useful in a planning meeting.
The methodology is consistent across disciplines. The vocabulary differs, but the underlying principle – validate before you scale – is the same whether you are designing a peer support programme or the software infrastructure that eventually supports it.
Making the Case to Leadership
For HR leaders who need to bring this approach to a CFO or a leadership team, the financial framing is straightforward. A validated pilot that cost $5,000 and demonstrated sustained behavioural engagement is a stronger investment case than a speculative platform purchase at $50,000. The former has evidence behind it. The latter has assumptions.
The objection that sometimes surfaces is that pilots are slow. In practice, a four-week behavioural pilot with a defined group generates more actionable information than a six-month evaluation process built on vendor demos and employee surveys. The timeline is shorter, not longer. The risk is lower. And the investment, if it proceeds, is going into something that has already demonstrated it works.
HR functions that build this kind of validation discipline into their programme design will look different in three to five years. Faster iteration cycles, because they are not discovering at full scale whether something works. Higher adoption rates, because programmes are built on observed demand rather than assumed need. And a track record that makes the case for future investment considerably easier – because the evidence of past returns is already there.
That is not a minor operational improvement. It is a different way of thinking about what HR’s role in programme design actually is.
Anastasiia Makovska is a seasoned operations leader, specializing in scaling business processes and managing high-performance technical teams. With a strong background in project management and strategic operations, she focuses on building rigid yet adaptive workflows that ensure predictability and efficiency in software delivery. Anastasiia is a frequent contributor to industry discussions on generational management, work-life integration, and the evolving role of AI in business operations.
