Metrics for Experimentation Programs: Categories, Benefits and Challenges

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Metrics for Experimentation Programs: Categories, Benefits and Challenges. / Stotz, Nils; Drews, Paul.
Agile Processes in Software Engineering and Extreme Programming: 26th International Conference on Agile Software Development, XP 2025, Brugg-Windisch, Switzerland, June 2–5, 2025, Proceedings. ed. / Sibylle Peter; Martin Kropp; Ademar Aguiar; Craig Anslow; Maria Ilaria Lunesu; Andrea Pinna. Cham: Springer Nature, 2025. p. 210-225 ( Lecture Notes in Business Information Processing; Vol. 545).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Stotz, N & Drews, P 2025, Metrics for Experimentation Programs: Categories, Benefits and Challenges. in S Peter, M Kropp, A Aguiar, C Anslow, MI Lunesu & A Pinna (eds), Agile Processes in Software Engineering and Extreme Programming: 26th International Conference on Agile Software Development, XP 2025, Brugg-Windisch, Switzerland, June 2–5, 2025, Proceedings. Lecture Notes in Business Information Processing, vol. 545, Springer Nature, Cham, pp. 210-225, 26th International Conference on Agile Software Development - XP 2025, Brugg-Windisch, Switzerland, 02.06.25. https://doi.org/10.1007/978-3-031-94544-1_15

APA

Stotz, N., & Drews, P. (2025). Metrics for Experimentation Programs: Categories, Benefits and Challenges. In S. Peter, M. Kropp, A. Aguiar, C. Anslow, M. I. Lunesu, & A. Pinna (Eds.), Agile Processes in Software Engineering and Extreme Programming: 26th International Conference on Agile Software Development, XP 2025, Brugg-Windisch, Switzerland, June 2–5, 2025, Proceedings (pp. 210-225). ( Lecture Notes in Business Information Processing; Vol. 545). Springer Nature. https://doi.org/10.1007/978-3-031-94544-1_15

Vancouver

Stotz N, Drews P. Metrics for Experimentation Programs: Categories, Benefits and Challenges. In Peter S, Kropp M, Aguiar A, Anslow C, Lunesu MI, Pinna A, editors, Agile Processes in Software Engineering and Extreme Programming: 26th International Conference on Agile Software Development, XP 2025, Brugg-Windisch, Switzerland, June 2–5, 2025, Proceedings. Cham: Springer Nature. 2025. p. 210-225. ( Lecture Notes in Business Information Processing). Epub 2025 May 29. doi: 10.1007/978-3-031-94544-1_15

Bibtex

@inbook{63d2eb4c93a447a4a2b9e81b2a41c7a6,
title = "Metrics for Experimentation Programs: Categories, Benefits and Challenges",
abstract = "Experimentation programs are vital for enabling data-driven decision-making within product development. However, evaluating their overarching success remains a significant challenge. Current metrics, such as conversion rates, primarily focus on individual experiments, leaving a gap in assessing broader program efficiency and impact. This paper addresses this gap by presenting a structured overview and analysis of 18 program-level metrics, categorized into six domains: Volume, Outcome-Based, Quality, Engagement, Process Efficiency and Strategic Alignment. Metrics such as experimentation throughput, time-to-decision and experimentation coverage are examined for their implications on operational efficiency, cultural adoption, and strategic alignment. Based on interviews with 48 experimentation practitioners, this work provides a description of these metrics and discusses their benefits and challenges. The results offer actionable insights for advancing experimentation practices and aligning them with organizational goals.",
keywords = "A/B Testing, Continuous Experimentation, Experimentation Metrics, Program-Level Evaluation, Business informatics",
author = "Nils Stotz and Paul Drews",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2025.; 26th International Conference on Agile Software Development - XP 2025, XP 2025 ; Conference date: 02-06-2025 Through 05-06-2025",
year = "2025",
doi = "10.1007/978-3-031-94544-1_15",
language = "English",
isbn = "978-3-031-94543-4",
series = " Lecture Notes in Business Information Processing",
publisher = "Springer Nature",
pages = "210--225",
editor = "Sibylle Peter and Martin Kropp and Ademar Aguiar and Craig Anslow and Lunesu, {Maria Ilaria} and Andrea Pinna",
booktitle = "Agile Processes in Software Engineering and Extreme Programming",
address = "Switzerland",

}

RIS

TY - CHAP

T1 - Metrics for Experimentation Programs: Categories, Benefits and Challenges

AU - Stotz, Nils

AU - Drews, Paul

N1 - Publisher Copyright: © The Author(s) 2025.

PY - 2025

Y1 - 2025

N2 - Experimentation programs are vital for enabling data-driven decision-making within product development. However, evaluating their overarching success remains a significant challenge. Current metrics, such as conversion rates, primarily focus on individual experiments, leaving a gap in assessing broader program efficiency and impact. This paper addresses this gap by presenting a structured overview and analysis of 18 program-level metrics, categorized into six domains: Volume, Outcome-Based, Quality, Engagement, Process Efficiency and Strategic Alignment. Metrics such as experimentation throughput, time-to-decision and experimentation coverage are examined for their implications on operational efficiency, cultural adoption, and strategic alignment. Based on interviews with 48 experimentation practitioners, this work provides a description of these metrics and discusses their benefits and challenges. The results offer actionable insights for advancing experimentation practices and aligning them with organizational goals.

AB - Experimentation programs are vital for enabling data-driven decision-making within product development. However, evaluating their overarching success remains a significant challenge. Current metrics, such as conversion rates, primarily focus on individual experiments, leaving a gap in assessing broader program efficiency and impact. This paper addresses this gap by presenting a structured overview and analysis of 18 program-level metrics, categorized into six domains: Volume, Outcome-Based, Quality, Engagement, Process Efficiency and Strategic Alignment. Metrics such as experimentation throughput, time-to-decision and experimentation coverage are examined for their implications on operational efficiency, cultural adoption, and strategic alignment. Based on interviews with 48 experimentation practitioners, this work provides a description of these metrics and discusses their benefits and challenges. The results offer actionable insights for advancing experimentation practices and aligning them with organizational goals.

KW - A/B Testing

KW - Continuous Experimentation

KW - Experimentation Metrics

KW - Program-Level Evaluation

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=105007523247&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-94544-1_15

DO - 10.1007/978-3-031-94544-1_15

M3 - Article in conference proceedings

SN - 978-3-031-94543-4

T3 - Lecture Notes in Business Information Processing

SP - 210

EP - 225

BT - Agile Processes in Software Engineering and Extreme Programming

A2 - Peter, Sibylle

A2 - Kropp, Martin

A2 - Aguiar, Ademar

A2 - Anslow, Craig

A2 - Lunesu, Maria Ilaria

A2 - Pinna, Andrea

PB - Springer Nature

CY - Cham

T2 - 26th International Conference on Agile Software Development - XP 2025

Y2 - 2 June 2025 through 5 June 2025

ER -

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