What is it?

A control group is a set of users who do not receive a tested change or intervention. Their behaviour is used as a baseline for comparison.

Control groups are essential for isolating impact.

Examples in Action

• Comparing test variants against unchanged experiences
  
• Holding back a portion of traffic from an intervention
  
• Measuring natural behaviour without influence
  
• Validating causal relationships
  

Typical Outcomes / Results

• More reliable experiment results
  
• Clear separation of signal from noise
  
• Reduced bias in interpretation
  
• Stronger confidence in conclusions
  

This glossary entry reflects standard experimental design principles.