“How Many Interviews Do I Need?” An Examination of Interview Numbers and Sampling Moves in Qualitative Research

Kasper Trolle Elmholdt et al.

Organizational Research Methods2026https://doi.org/10.1177/10944281261424516article
AJG 4ABDC A*
Weight
0.50

Abstract

Qualitative researchers face an enduring question: How many interviews do I need? While a variety of guidelines exist, there is limited consensus over which specific factors should determine the number of interviews required. We examined the determination of interview sample sizes in 562 qualitative studies across six high-impact management and organizational journals over a decade. Our findings reveal considerable variance in interview numbers, yet limited information is often provided on the criteria used to determine them. To promote clearer alignment between sample sizes and methodology, we examined studies with detailed descriptions of their interview sampling. We identified specific “sampling moves” used to determine the number of interviews, categorized into three types—opening, focusing, and closing sampling moves—that researchers use to establish confidence in the sample and support theoretical insights. By implication, our study refutes the notion of a “magic” interview number. Instead, sampling moves are heuristic tools that qualitative researchers can thoughtfully adapt to their analytical aims when determining appropriate sample sizes.

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https://doi.org/https://doi.org/10.1177/10944281261424516

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@article{kasper2026,
  title        = {{“How Many Interviews Do I Need?” An Examination of Interview Numbers and Sampling Moves in Qualitative Research}},
  author       = {Kasper Trolle Elmholdt et al.},
  journal      = {Organizational Research Methods},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/10944281261424516},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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