Sample size 200
Completed / Failed 200 / 0
Which AI agent sample size strategy do you consider most effective for balancing statistical stability, cost, and analytical depth in consumer preference research?
Approximately 1,000 agents anchored to census data for balanced stability and cost
97.0%
n=194
Respondents for this option · Drivers
Maximizing representativeness and alignment with real-world population data
Ensuring feasibility of granular cross-segment analysis
Optimizing cost-efficiency and turnaround time
Minimizing statistical variance and noise
None of these strategies meet my current research requirements
2.5%
n=5
Respondents for this option · Drivers
Optimizing cost-efficiency and turnaround time
Maximizing representativeness and alignment with real-world population data
100-300 agents for rapid concept screening
0.5%
n=1
Respondents for this option · Drivers
Optimizing cost-efficiency and turnaround time
Tens of thousands of unconstrained agents for maximum breadth
0.0%
n=0
Approximately 1,000 agents anchored to census data for balanced stability and cost audience
Market research professionals prefer a sample size of approximately 1,000 census-anchored AI agents for optimal research balance.
194 / 200 respondents97%
The segment is primarily composed of married professionals aged 35-44 with a bachelor's degree.
This group shows a distinct geographic concentration in the Northeast region compared to the baseline.
Key differences
Potential risks
Sampling data