No. #39
Insensitivity to Sample Size
- Disregarding the Role of Scale
Insensitivity to sample size is the tendency to underweight or ignore the size of a sample when evaluating the reliability of data or evidence. This can lead to overconfidence in findings from small datasets or pilot studies in product development.
Read more on WikipediaProduct example
A team may make broad product decisions based on feedback from a very small user group, assuming it's representative of the entire user base.
Empathy tips
1
Highlight Sample Size Importance
Emphasize the importance of sample size in data analysis and decision-making.
2
Scale Up Research
Ensure that user research involves sufficiently large and representative samples.
3
Data Literacy Training
Train teams in data literacy, focusing on the importance of sample size.
4
Review and Validation
Regularly review and validate findings with larger data sets to ensure accuracy.
Need an empathic partner?
Anna Lundqvist
UX & AI ethics expert driving better products and smarter teams.
Eddy Salzmann
Design lead crafting seamless products and mentoring design teams.