Nerdology: Synthetic Smarts and Scientific Slippery Slopes
Failed to add items
Add to cart failed.
Add to wishlist failed.
Remove from wishlist failed.
Follow podcast failed
Unfollow podcast failed
-
Narrated by:
-
Written by:
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