Adaptive Survey Engine

Bayesian adaptive sampling with dynamic question paths and respondent burden optimization

Total Respondents
7,370

Across all surveys

Avg Completion
93%

Completion rate

Bayesian Accuracy
95%

Avg posterior accuracy

Burden Reduction
60%

Fewer questions

Bayesian Adaptive Sampling Efficiency
Comparison of traditional vs Bayesian adaptive sampling accuracy
12345Sampling Round0255075100Accuracy (%)
  • Traditional Sampling
  • Bayesian Adaptive
Bayesian Posterior Updates
Parameter estimation improvements through adaptive sampling

R&D Intensity

Prior: 1.2 → Posterior: 1.8

94% CI

Human Capital Index

Prior: 2.1 → Posterior: 2.7

91% CI

Innovation Output

Prior: 3.4 → Posterior: 4.2

88% CI

Collaboration Index

Prior: 2.8 → Posterior: 3.5

92% CI
Sample Size Reduction
Round 160% reduction
Traditional:

500

Adaptive:

200

Round 260% reduction
Traditional:

450

Adaptive:

180

Round 363% reduction
Traditional:

400

Adaptive:

150

Round 466% reduction
Traditional:

350

Adaptive:

120

Bayesian Advantages
Allocates samples to underrepresented groups
Updates estimates in real-time
Incorporates prior knowledge
Reduces sample size by 60%+
Improves statistical precision
Handles missing data elegantly