The Agent Is the Visible Part. The Harness Is the Hard Part.
What goes inside the infrastructure that determines whether enterprise market research AI can be trusted The difference between an impressive market research AI demonstration and a dependable enterprise capability is the harness — the layer of enforced structure between the model and everything it touches. This piece is about what that harness actually contains. Separate […]
Every Market Research AI Demo Works. That’s the Problem.
Why the harness — not the model or the orchestrator — decides whether enterprise research can be trusted Ask an AI agent to size a market, identify competitors, analyze customer feedback, or summarize an industry trend, and it will usually produce an impressive result in under two minutes. It searches the web, reads a few […]
Qualitative Research: The Complete Guide for Market Researchers
Numbers tell you what happened. Qualitative research tells you why. For market researchers, that distinction is the whole game. A survey can tell you that 62% of customers abandoned your onboarding flow — but it can’t tell you what “abandoned” actually felt like from the customer’s seat, or which specific moment in the flow did […]
How to Run an Online Focus Group: A Practical Guide for Market Researchers
Focus groups have always been one of the most efficient ways to gather qualitative insight — a skilled moderator, a group of participants, and 90 minutes can produce more usable material than weeks of survey analysis. Moving them online hasn’t changed that. It’s made them faster, cheaper, and accessible to audiences that in-person recruitment could […]
Qualitative Interviewing: A Guide to In-Depth Interviews for Market Researchers
One-on-one interviews are the most direct form of qualitative research. A researcher and a participant, with enough time to go deep. Done well, they surface the context, reasoning, and emotion behind a decision that no survey can capture. This guide covers what qualitative interviewing is, when to use it, and how to get better results […]
Why Every Study You Run Should Make the Next One Smarter
Most research programs are a collection of projects. A study launches, fieldwork closes, a report goes to the stakeholder, and the data sits in a folder. The next question arrives and the process starts over — new recruit, new sample, no memory of what came before. That’s not a program. That’s a project list. And […]
What’s Missing From Your Survey Data? The Part Your Customers Didn’t Know to Tell You
Survey data has a hard ceiling: it can only measure what you already know to ask. Most insights teams run more surveys than ever, but a category of insight consistently goes uncaptured — the things customers know, feel, or do that a rating scale will never surface. This article covers five questions every insights team […]
How Enterprise Research Teams Are Finally Making AI Work Across Every Study They’ve Ever Run
Most enterprise insights teams have AI tools that work. The problem is they work in isolation. Each tool handles its task, then hands off to the next — with no memory of the study that came before, no knowledge of the objective that started it all. The capability was never the issue. The key issue […]
Where AI Moderation Fits in Your Stack
The conversation around AI moderation tends to fall into one of two traps. Either it’s framed as the future of all qual, replacing IDIs, eliminating the need for moderators, and letting insights teams do ten times the work with half the headcount. Or it’s dismissed as a toy in that it’s fast, shallow, and no substitute for the real thing. But we think neither framing is […]
Are You Building Your AI Moderation Program Around the Wrong Question?
Most insights teams approaching AI moderation are trying to answer the same question: is it as good as a human moderator? It’s the wrong question – and the fact that it still dominates the conversation is costing teams time they don’t have. The teams that are furthest ahead have already moved on. They’re not asking whether AI moderation matches human quality. They’re asking something more useful: which layer of […]