Consumer Analysis & Insights

Start with the people who’ll use it.

Understanding the people you’re building for, before designing anything.

We research audiences as part of a project, usually at the start: who will use what we’re making, what they already know, and what they’re trying to get done. The research ends in something we can design from, such as a product definition, a content plan or a prototype.

Research can also be the whole first phase, if that’s what the budget allows.

Methods

Chosen for the question

We pick methods to suit what we need to learn, and recommend the smallest amount of research that gives us confidence.

Conversations in context

Talking with the people who’ll use it, and watching them work where they normally would.

Analytics review

What people actually do on your current site or product, which is often not what anyone assumed.

Early tests

Rough prototypes and different ways of presenting a message, put in front of real people.

What AI changes

Learning from something working

Prototypes are cheap now, so we build rough versions early and learn from how people react to them. Interviews can reach more people, too: AI-guided interviews let respondents answer through a link in their own time, with a summary for each person plus a combined synthesis. AI also helps read open-ended feedback, such as call notes or support tickets, alongside the analytics. People decide which findings matter, and we write them up plainly, with the evidence behind them.

Research & Discovery covers the full approach.