When our client approached us to recruit participants currently using GLP-1 weight management medications for an anonymous online survey, the brief was clear, but far from simple.
Working within a sensitive health space always requires a careful balance. It’s not just about reaching the right audience, but doing so in a way that protects participant experience, maintains trust, and delivers data you can genuinely rely on.
In these contexts, a wide net isn’t always the right approach. What matters more is being deliberate in who you reach, how you engage them, and how their data is handled from start to finish.
Recruiting people actively using GLP-1 medications meant navigating both specificity and sensitivity.
On one hand, we needed to reach a clearly defined medical cohort. On the other, we needed to ensure that every response came from a real, engaged individual, not someone rushing through a survey for the incentive.
In a space that’s growing quickly, with increasing public awareness and demand, maintaining that level of authenticity becomes even more important. It also means recognising that participants aren’t just data points, they’re individuals sharing something personal, and the process needs to reflect that.
We kept the entire recruitment process in-house, drawing from our network of over 270,000 participants. That decision wasn’t just operational, it was intentional. For a topic like this, control matters. It allows us to be more selective in how we reach people, more thoughtful in how we engage them, and more confident in the quality of the data that comes back.
Rather than pushing the study out broadly, we were careful and considered in how it was distributed within our network. That more targeted approach helps ensure participants feel comfortable taking part, while also protecting the integrity of the responses.
Our healthcare specialists supported on survey wording and data handling protocols, helping to ensure the research was not only robust, but appropriate for the audience. It meant we weren’t just collecting data, we were doing it in a way that respected the people behind it.
Alongside this, our Data Specialist carried out detailed quality checks post-fieldwork, removing and replacing any responses that didn’t meet our standards. It’s a step we build in as standard, but one that becomes even more important when working within sensitive subject areas where trust and accuracy go hand in hand.
While a full week had been allocated for data collection, the required completes were achieved within just three days. We then allowed time for thorough quality control before delivering the final dataset, complete with data tables, a full day ahead of schedule.
More importantly, the quality held up. The client received a clean, reliable dataset and the confidence that the participants behind it were exactly who they needed them to be.
This project is a good example of what happens when you treat fieldwork as more than just a numbers exercise.
Keeping recruitment in-house gave us control. Bringing in healthcare expertise ensured the research was handled appropriately. Building in robust quality checks meant the final output could be trusted.
Just as importantly, it reflects the kind of relationship we aim to build with our clients. Not transactional, but collaborative.
When you’re working with a partner who understands the nuances of your audience and the responsibility that comes with sensitive research, it allows you to focus on the insight itself, rather than worrying about how the data was gathered.
