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The Leading Question Effect

The Leading Question Effect

June 09, 2025

Leading question can shift public opinion depending on how a question is framed. Using Rally’s synthetic personas, it's now possible to replicate this effect in a controlled experiment, revealing how survey design can manufacture consent or dissent with measurable precision.

The Intention-Action Gap

The Intention-Action Gap

June 04, 2025

AI market research often mirrors human biases, replicating stated intentions rather than actual behaviors. However, by carefully selecting and calibrating AI models, synthetic research can bridge the critical gap between what consumers say they'll do and their real-world actions.

Correcting Bias in LLMs with DSPy

Correcting Bias in LLMs with DSPy

May 21, 2025

Left unchecked, large language models can massively distort reality. Our baseline simulation showed 90.6% of AI personas voting Democrat, a 40-point deviation from expected. But with DSPy optimization, we achieved near-perfect political balance, proving that prompt calibration isn’t optional, it’s essential.

Cheaters, Speeders, and Repeaters

Cheaters, Speeders, and Repeaters

May 20, 2025

Traditional surveys are overrun by cheaters, speeders, and repeaters, warping data and devouring your calendar. Validated AI personas slash the noise, delivering human-level insights with 85 % accuracy—no bribery, no burnout.