Data saturation
The point where new interviews or observations add almost no new themes. It helps decide how many people to interview.
What problem it addresses
Answers a common question: how many people do you need to interview? Qualitative research doesn’t seek statistical representativeness: you keep interviewing until no new themes appear.
An example
In usability testing, Nielsen and Landauer calculated how many problems each additional person finds.
Hence the usual advice: several small rounds, improving between each one, instead of a single large one.
Why it happens
The first interviews uncover almost all the themes.
Each additional interview repeats what you already knew.
When nothing new appears, you have reached saturation.
Applications in design
Use it like this
Plan an initial number and keep going while new themes keep appearing.
Avoid
Using “five users” as a fixed rule for any kind of research.
Don’t fall for it
If your profiles are very different from each other, you will need more people from each one.
12 of 60
What the research says
In a study with 60 interviews, almost all themes had appeared in the first 12, and the main themes in the first 6 (Guest, Bunce, and Johnson, 2006).
Debated evidence. The number depends on how homogeneous the group is and how broad the question is; it is a guideline, not a rule.
Connections
Used in
Authors and works
- 1967
Barney Glaser and Anselm Strauss
Proposed continuing to collect data until no new categories appear.
- 2006
Greg Guest, Arwen Bunce, and Laura Johnson
Measured when saturation is reached in interviews.
- 1993
Jakob Nielsen and Thomas Landauer
Calculated how many usability problems each participant finds.
Sources
Original sources
- Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. Aldine.
- Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82. View source: Guest, G., Bunce, A., & Johnson, L. (2006)
- Nielsen, J., & Landauer, T. K. (1993). A mathematical model of the finding of usability problems. In Proceedings of INTERCHI 93 (pp. 206–213). ACM. View source: Nielsen, J., & Landauer, T. K. (1993)
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