market-research
5 free lessons tagged market-research across Business. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
The Average Trap, Model Collapse, and Responsible Practice
Two failure modes that survive perfect methodology: a prediction objective that pulls research toward the average consumer, and a feedback loop where synthetic data degrades the evidence base. Plus the guidelines for using this responsibly.
The Analytic Flexibility Problem
Silicon samples require dozens of defensible setup choices, and those choices change the answer. The study that generated 252 configurations, found correlations ranging from .23 to .84, and what it means for anyone reporting synthetic results.
Where Synthetic Respondents Break Down
The failure modes that show up when silicon samples are checked against real human data: flattened variance, wrong-signed estimates, portrayal rather than simulation, and the coverage bias that no sample size fixes.
Silicon Samples: Surveying a Model Instead of People
Where the idea of using language models as synthetic survey respondents came from, the three founding results that made marketing take it seriously, and the economics that make it so tempting.
AI for Market Research, Outreach, and Deal Support
A practical guide to the business development workflows AI accelerates most. Learn how to use AI for deep account and market research, to identify and prioritize the best-fit prospects and partners, to personalize outreach genuinely at scale, and to prepare for meetings and draft proposals and follow-ups, all with the verification and authenticity that keep it credible.