Imagine a company like Uber, with a sprawling set of products like UberEats, UberFreight, and UberRides. Each product has unique user types—think drivers and riders for UberRides, or couriers, consumers, and restaurant owners for UberEats. Naturally, each of these product pillars has its own dedicated team of researchers, PMs, and designers.
For companies like Uber, managing research with these diverse user types and product pillars can get messy. They face big challenges when it comes to recruiting participants and setting up studies.
Questions pop up, like:
“Who are the right people to recruit?”
“How do we ensure UberEats drivers don’t get contacted for an UberRides study?
“How do we ensure that different team members (UXRs, PMs, Designers) for each product pillar have the right access to the right research tools and participants?”
You can probably imagine the chaos and anxiety this can cause – or maybe you've lived it.