The dirty secret

The research industry just spent $1.5 billion of venture capital automating the back end — synthetic respondents in four minutes, AI moderators, edge audiences. Faster. Cheaper. Slicker.

And still, 30–40% of studies fail after fielding. Not because the data was bad. Because the brief was wrong before it left the building. Turns out, you can’t out-AI a bad question.

Why we built xplorit

We saw the same playbook fail over and over. A vague business challenge gets handed to research. Research designs a study around assumptions nobody validated. Fieldwork runs. Data comes back. And somewhere in a read-out, someone says: “that’s not actually what I needed to know.”

That moment — that expensive, avoidable, demoralising moment — happens before question one is written. xplorit exists to stop it. Pre-research now lives on your desktop, not in an agency’s inbox, not on someone else’s calendar, not waiting for the next meeting to circle back.

What makes us different

We’re not another brief-writer. Any general-purpose AI will write you a brief. It’ll sound confident, look polished, and — with a straight face — recommend a tracker for a problem that needs ethnography.

xplorit judges, it doesn’t just generate. It carries 35 years of research practice, knows when conjoint beats MaxDiff, and has a habit of saying “prove it” when your objectives don’t trace back to a real business decision. A general AI gives you a brief. xplorit gives you a decision-ready brief.

Where we live

We don’t field. We don’t synthesise. We don’t analyse. We make sure that whatever you field, synthesise, or analyse will actually answer the question worth asking. That’s the white space nobody else in the category is fixing.