Survivorship bias occurs when analysis focuses only on users or outcomes that completed a journey, while ignoring those that dropped out.
This bias can distort interpretation.
Examples in Action
- Analysing only converted users
- Ignoring abandonment behaviour
- Reviewing feedback from successful journeys only
- Overestimating experience effectiveness
Typical Outcomes / Results
- Incomplete understanding of behaviour
- Missed optimisation opportunities
- Inflated performance perception
- Improved insight when corrected
This glossary entry reflects common analytical bias considerations.