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Nerdology: Synthetic Smarts and Scientific Slippery Slopes

Nerdology: Synthetic Smarts and Scientific Slippery Slopes

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In this episode, Michelle Niedziela explores how generative AI—like ChatGPT—can be used to augment consumer research, not replace it. Based on her recent presentation at the AChemS annual meeting, she shares how she used AI to simulate a study on the concept of “freshness” in home fragrance—running synthetic MaxDiff and IAT data to explore assumptions, surface blind spots, and troubleshoot design challenges before fielding a real study.

Michelle also unpacks the ethical implications of synthetic data, especially in light of recent headlines involving fraud in market research—and why research foresight is more critical than ever.

✨ In this episode:

  • How AI can help define tricky concepts like “freshness”

  • Using synthetic data to pilot and refine research methodology

  • Spotting emotional and contextual blind spots early

  • Why ethical boundaries matter when using AI in insights work

  • How Nerdoscientist supports teams with research foresight, design, and concept vetting

📝 Read the full blog post here: https://www.nerdoscientist.com/blog/syntheticdata

#SyntheticData #ConsumerResearch #Nerdoscientist #AChemS #MarketResearch #AIinResearch #ResearchForesight #BehavioralScience

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