The consumer insights industry has a problem that has nothing to do with the quality of the research work being done. The insights and the methodologies are getting better, and the people running insight functions are more skilled and strategically ambitious than ever.

Yet, for most organisations, consumer knowledge still disappears the moment a project closes. That is the problem we are solving at Attest.

The depreciating asset problem

Think about how most organisations actually use consumer research. A study gets commissioned, the findings land, they make their way into a presentation, and then they sit in a folder somewhere. The next question gets asked a few months later, and the process starts again from scratch. The researchers doing the work are excellent. The system they are working inside is not.

The research industry has known for years that consumer knowledge – the way most teams manage it – is a depreciating asset. Every project is effectively an island, unable to connect to the next question or inform future thinking.

With consumer behaviour shifting faster than ever, this is no longer just an inconvenience; it’s a competitive liability.

What connected research actually means

At Attest, we are building the infrastructure so that research becomes a compounding asset. We call this vision Connected Insights.

It means building a platform where every piece of research leaves behind context that actively informs the next study. Where the sum of your consumer knowledge becomes more valuable with each study. And where you can get the answer in the moment you need it.

That requires two things working together: the flexibility to use the right method for the question at hand, not just the method that happens to be available; and a shared environment where findings from different methods can actually talk to each other.

Historically, those two things were structurally separated. Quant and qual lived in different workflows, employed different tools, and came out of different budget lines. The result was a research function that could tell you a great deal about what consumers did, but often struggled to explain why.

The practical case for starting with qual

It was this problem that led us to create Attest Explore, our new AI-moderated interviews offering. Bringing qualitative research inside the same platform as quantitative research removes a friction that has shaped how insight teams work for years.

The scale of that friction is huge: our own research found that 40% of researchers say qual arrives too late to influence decisions, and 64% say they launched a product, price change, or campaign in the last year without any insight at all, simply because they could not wait.

When qual requires a separate commission, agency, timeline and budget, teams make a rational calculation: the quant will have to do. When it is available in the same place, from the same sample, qual becomes something insight professionals stop planning for and, instead, reach for when the question calls for it.

The system is the strategy

There is a lot of noise right now about AI transforming consumer research. Some of it is hot air. Where the hype is warranted is when AI removes specific, long-standing barriers: the cost of scale in qual, the time it takes to synthesise large open-ended datasets, or the friction of moving between methods mid-cycle.

We’re using these capabilities to build an insight function that treats consumer knowledge as a strategic asset rather than a project output. One where research compounds, where every question draws on what came before, and where insight teams can build a picture of the consumer that gets sharper with every study.

Connected insights is a different way of thinking about what consumer research infrastructure is for, and we are just getting started.

Todd Latham is chief executive at Attest