Compare
Not every approach builds the same thing.
Human panels, AI personas, synthetic panels and Customer Twins each address a different need. Compare them with Imagine All The People to understand what they measure, what they simulate and which decisions they are best suited to inform.
Imagine All The People vs Human Panel
Measure reality or explore before acting?
A human panel questions real people. Imagine All The People builds a synthetic population under statistical constraints to compare several scenarios quickly. The two approaches answer different questions — and can be complementary.
Compare →Imagine All The People vs AI Personas / LLMs
Plausible characters or a constructed population?
A generated persona can be credible without being statistically representative. Imagine All The People first builds the population structure, then generates individual answers.
Compare →Imagine All The People vs Synthetic Panel
Reweight an audience or construct a population?
Synthetic panels generally offer available audiences or segments. Imagine All The People builds a population from data, probabilistic dependencies and statistical constraints tailored to the decision.
Compare →Imagine All The People vs Customer Twins
Reproduce your customers or represent your target population?
A Customer Twin aims to reproduce individuals that have already been observed. Imagine All The People builds the target population, including beyond the people present in your proprietary data.
Compare →
No single technology is optimal for every problem. These comparisons also explain when to keep, complement or combine approaches.
What these pages do not claim to prove.
The statistical robustness of a constructed population does not automatically transfer to behavioural answers. Building the population and validating the answers are two distinct layers.
