Insight-led innovation consultancy.
We help enterprise teams make better bets.
What we do
Go beyond what customers say to understand what drives their choices.
We combine qualitative research, Jobs to Be Done and behavioural analysis to uncover the needs, motivations, circumstances and trade-offs that shape demand.
Turn customer understanding into offers people choose.
We identify where value is genuinely unclaimed, shape propositions around the opportunity, then test and refine them with real users before significant investment.
Focus improvement on the moments that matter most.
We combine customer insight, service design and commercial logic to improve the experiences that influence choice, retention and value.
AI is built into how we think, not bolted onto how we work. It does the groundwork. Our judgement decides what's worth pursuing.
See the AI Design Sprint →Why Mosaic
Proof, not promises.
We’d rather show you than tell you how good we are. Our JTBD practitioner series has passed 20,000 downloads.
See for yourself →No BS innovation.
Less theatre, more traction. Better evidence, clearer choices and ideas that survive contact with reality. We build stuff that ships and scales.
Boutique dynamism,
Big Four calibre.
Small enough to move fast and stay personally accountable. Rigorous enough to sit comfortably alongside the biggest firms you’ve worked with.
Proof
Travel agents described a reverent, once-in-a-lifetime encounter with the wild. About half our guests, once we actually asked them, described something closer to a family holiday that happened to be in Africa. They wanted the animals. They also wanted the pool, not the fine dining nobody had asked for, and not the gym nobody used after a day in the heat. The brand had been designed around the guide’s story, not the guest’s.
AI on a single machine worked well enough that people stopped noticing it. The moment a second person needed to be pulled into the same thread of reasoning, that ease disappeared. Professionals had quietly adapted to working around AI alone, and stopped expecting it to work when the team did.
Tell us what you’re trying to figure out.
We’ll tell you how we’d approach it.