
Turning Disposable Research Into Continuous Insight With Cint
- Interview
What if every market research project could continue contributing to business decisions after its original question had been answered? In this episode of Tech Talks Daily, I'm joined by Phil Ahad, Managing Director of Data at Cint, to discuss why he believes companies should move away from disposable research. For decades, the familiar model has been straightforward. A business asks a question, commissions a study, receives the answer and begins again when the next question appears. Phil argues that this process wastes useful information and repeatedly asks people for details that may already be available. ...
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than sharing opinions, and where AI personas or digital twins could extend real human research.
never actually built to do.
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Is this episode right for you?
B2 · Upper-intermediate
Comfortable if you already follow TV news
- 84% of the words are B1 or easier.
- 176 words a minute: natural, fairly fast speech.
- 101 harder words (B2 and up) in the whole episode.
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The opening of the episode. The whole transcript is in the player.
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What if the research your company paid for last month could continue answering questions today rather than disappearing into a presentation deck? My guest today is the Managing Director of Data at Sint. He joins me to discuss why businesses should stop treating research as disposable data.
We'll talk about an alternative which is continuously updated human data engine that combines fresh responses, existing studies, third-party information and tested AI models. We will discuss survey fatigue, why people are tired of repetitive questionnaires rather than sharing opinions, and where AI personas or digital twins could extend real human research.
And he'll also touch on why synthetic data is often asked to perform jobs that it was never actually built to do. So for leaders making expensive decisions, the question is no longer whether data is available.
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