The "Build-Measure-Learn Feedback Loop" is a foundational iterative framework in lean startup methodology that distinguishes itself by structuring entrepreneurial experimentation into a cyclical process of constructing minimum viable products, empirically measuring user feedback, and cognitively validating or invalidating business hypotheses to guide subsequent development decisions.
4
Publications
87
Citations
15
Authors
5
Institutions
Publications per year
2017–2026
4
Parents
Publications
4
Smart platform experiment cycle (SPEC): a process to design, analyze, and validate digital platforms
Patrick Brecht, Manuel Niever, Roman Kerres et al. · Artificial intelligence for engineering design analysis and manufacturing · 2021 · 17 citations
Business, Information Systems, Management Information Systems +17
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Authors
15
- AS
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- MJ
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- JH
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- SR
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- SA
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1–5 of 15
Institutions
5
Mayo Clinic
Rochester, United States
1 h-index
3 publications
51 citations
UCLouvain
Louvain-la-Neuve, Belgium
1 h-index
2 publications
72 citations
University of Mons
Mons, Belgium
1 h-index
2 publications
72 citations
Karlsruhe University of Applied Sciences
Karlsruhe, Germany
1 h-index
5 publications
85 citations
Shahid Beheshti University
Tehran, Iran
1 h-index
3 publications
51 citations
1–5 of 5
Venues
- Digital Business
1 publications · 17 citations
1
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- International Journal of Entrepreneurial Behaviour & Research
IJEBR · 1 publications · 36 citations
1
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- Artificial intelligence for engineering design analysis and manufacturing
AIEDAM · 1 publications · 17 citations
1
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- Medical Teacher
1 publications · 17 citations
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1–4