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00925njm 22002777a 4500 dc Nguyen Ngoc, Hien author Lasa, Ganix author Iriarte, Ion author Atxa Gamboa, Ariane author 2022 This article presents a dataset of service design skills which service design experts value as important requirements for design team members. Purposive sampling and a chain referral approach were used to recruit appropriate experts to conduct questionnaire-based research. Using the analytical hierarchy process (AHP), pairwise skills-rating questionnaires were designed to elicit the experts’ responses. The resulting dataset was processed using AHP algorithms programmed in R programming language. The transparent data and available codes of the research may be reused by design practitioners and researchers for replication and further analysis. This paper offers a reproduceable research process and associated dataset for conducting multiple-criteria decision analysis with expert purposive sampling. 2052-4463 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=167940 https://hdl.handle.net/20.500.11984/5821 Datasets of skills-rating questionnaires for advanced service design through expert knowledge elicitation