The Methodology Was Never the Point: It Was Always About Understanding People
Writing for Insight Platforms' Corporate Researcher's Guide to Personas, Synthetic Data & Digital Twins, Kelly McKnight argues that digital twins, AI personas and simulations matter less for what they automate than for what they free people up to do. Below, she makes the case that the point was never the methodology, it was always the people.
Digital Twins and AI Personas & Simulations are not just new research approaches. They represent a genuinely different way for organisations to understand their customers.
The evidence is building. A recent Bain & Company analysis found that organisations already using synthetic customers are seeing faster iterations, richer insights, and more accurate in-market outcomes - and that over time these systems are likely to become reusable decision infrastructure, compounding advantage as proprietary data and learning accumulate. For insight leaders, that should prompt a serious strategic conversation.
The uncomfortable truth is this: the methodology has never been the point. Understanding people has. When that distinction gets lost, the risk is defending a process when clients are buying outcomes.
For brands, the opportunity is real but conditional. Bain & Company are direct on this point: synthetic research should be treated as a capability, not a tool - which means organisations owning how they define personas, simulate decisions, and validate outputs. It determines whether organisations build something lasting or simply something useful right now. Those that ground simulations in their own data, validate against real human behaviour, and refine continuously will build a genuine and durable competitive advantage.
But the technology conversation can obscure what matters most: real people.
Somewhere right now, a human being is sitting through a forty-five minute survey about washing powder. They lost interest around question twelve - not because they stopped caring, but because we asked too much and made it too dull. That's on us. We designed something nobody would want to sit through. And the data that comes out the end reflects it.
The most compelling promise of tools like Verve's Intelligent Personas & Simulations is not efficiency. It is that when simulations handle the repetitive, high-volume work, real people are freed for the conversations that genuinely need them - the ones requiring lived experience, emotional nuance, and the kind of truth no model can manufacture.
The goal remains unchanged: understanding people. Digital Twins and AI Personas & Simulations simply allow us to do more of it - faster, richer, and far more respectful of the people taking part.