Interviews, behavioural data, journey mapping: we build a picture of what your customers need and what's getting in their way, and turn it into personas grounded in evidence rather than assumption.
Once we know what "right" looks like, we build AI into the workflow to test designs against those personas, flag friction across the journey, and validate concepts before a single line gets built. Work that used to take weeks now takes days, and every output still traces back to something a real customer told us.
Speed only helps if you're moving in the right direction. Research, design and testing come first; AI sharpens and accelerates what's already grounded, rather than substituting for the thinking it's supposed to speed up. It's not novelty for its own sake. It's the right tool applied at the right stage.
We start with customer research and personas built from interviews, behavioural data and journey mapping, reflecting what customers actually need rather than what we assume, then validate concepts against those personas before anything gets built. AI-powered usability testing runs journeys at a pace manual testing can't match, surfacing friction fast without losing the human grounding, while friction audits map every hesitation or drop-off point and rank each by its cost to conversion.
The result is personalised experiences built around genuine customer intent, not a generic funnel, with faster, evidence-led iteration that keeps every decision anchored to real insight.
Real research, including interviews, behavioural data and journey mapping, turned into personas grounded in evidence.
Every experience starts from what customers actually want, not an assumption dressed up as a strategy.
AI-powered workflows test designs and surface friction against those personas before build, so problems get caught while they're still cheap to fix.
Clear, prioritised findings, and we keep testing as you iterate, so the work gets sharper each round rather than settling for "good enough."
We're researchers first. Before any AI workflow runs, we've spoken to your customers, mapped their journeys and worked out where the experience is genuinely falling short. That's what makes everything built on top of it reliable.
Every recommendation is evidence-led. No gut feel, no chasing whatever's trending this quarter, no technology used because it's there. If a design decision doesn't trace back to a real customer need, we don't make it.
We work end to end. Research, design, testing and iteration, handled by one team who talk to each other. You're not briefing multiple suppliers or translating findings between agencies. We run the full cycle and hand you decisions you can act on.
Ready to build on evidence instead of guesswork?
If your personalisation strategy is built on assumptions, it's costing you conversion somewhere you can't see. Get in touch and we'll show you where your customers are hitting friction, what it's worth fixing first, and how our research-then-AI approach gets you there faster.
