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Survivorship Bias
Definition
Survivorship Bias refers to the bias in judging or studying only successful cases. In other words, it refers to the tendency to look only at successful cases without considering cases of failure or failure to survive.
Explanation
Avoiding survivorship bias is crucial for designers. If you don’t understand and consider the needs and experiences of all your users, you may end up making design decisions based on limited information. This increases the likelihood that you won’t be able to create effective designs for all user groups.
Importance
Here are some examples of how to avoid Survivorship Bias:
Analyze failed designs: Designers analyze failed design elements or features to determine their causes and find areas for improvement.
Collect diverse user feedback: Collect feedback from diverse user groups to reflect opinions from both successful and unsuccessful users.
A/B Testing: Compare multiple design options through A/B testing, and learn from failed options to improve them.
Avoiding survivorship bias and considering the experiences and opinions of all users are important steps toward creating more effective designs.
