We left Quirk’s London 2026 with one big question: Is the research industry finally growing up?

We’ve attended enough industry conferences to know the pattern. A lot of big claims, a lot of shiny tech demos, a lot of phrases like “transformational ecosystem” being thrown around before 10am, but Quirk's London 2026 felt different. This year, the mood across the industry felt sharper, more honest and far more focused on outcomes. The conversations weren’t about whether AI matters anymore, because that ship has sailed, now it’s about whether businesses are really becoming better at understanding people and there’s a big difference between those two things. 

Yes, AI dominated the conference floor. AI-powered qual tools, synthetic audiences, always-on insights, automated analysis, and none of that was surprising. What was interesting though was how quickly the industry has moved past the novelty stage, where AI is no longer being treated like a futuristic add-on, but rather as infrastructure, slowly being baked into how research gets done. Researchers are now asking important questions like: how do you combine richer behavioral signals with traditional quant, how do you capture emotion closer to the moment it actually happens, how do you make insight easier to act on across a business? That’s where the momentum is now. 

One thing became very clear across multiple sessions - the line between qualitative and quantitative research is blurring fast, and honestly, it probably needed to. Consumers don’t separate their lives into tidy methodologies, so expecting research to work that way forever might be a bit unrealistic.  

The most interesting approaches we saw combined scale with depth, and structured data layered with emotion as well as behavior layered with context. It’s less about picking a methodology now and more about designing smarter ways to understand people properly. 

One of the strongest themes at Quirk’s London this year was action - not reporting, not presenting, not endless “interesting findings,” but action. L'Oréal spoke about moving away from commissioning research that doesn’t directly influence decisions, and that landed hard across the room. Everybody knows the industry is experiencing a reporting problem where too much research still ends up sitting untouched in decks, disconnected from what teams actually need day to day. 

Meanwhile, brands like McCain Foods showed what insight looks like when it genuinely changes behavior, by helping shoppers rethink where and how they buy products entirely. That to us is the difference between insight that sounds smart and insight that earns its budget. 

Another major shift was the industry’s obsession with getting closer to real consumer moments. Sessions focused heavily on in-home testing, in-context feedback and capturing reactions as they happen rather than relying on memory after the fact… and it makes sense, especially with how consumers are far more honest in their kitchens than they are in focus groups. They don’t experience products in controlled environments, they experience them while distracted, tired, multitasking or scrolling on their phones. That’s the reality brands need to understand, and the closer research gets to that messy reality, the more valuable it becomes. 

For MMR, the conference reinforced the industry’s direction: research is becoming more continuous, more connected and more integrated into decision-making. The goal isn’t to bury businesses in data, but ideally, it’s to help them act with greater confidence. The brands that pull ahead won’t be those with the biggest tech stacks, but those building systems that help people make smarter decisions, faster. Strip away the conference jargon, and that’s what insight should have always been for. 

If you've missed an opportunity to catch us at Quirk's London, get in touch!