Iterative Experimentation

Iterative Experimentation is a systematic methodology within the Lean Startup framework that distinguishes itself by cyclically testing business hypotheses through minimal viable products and validated learning to achieve market validation.

74

Publications

5.6K

Citations

262

Authors

128

Institutions

Publications per year

2017–2026

36

Authors

262

  1. ET
    Eric T. Anderson

    Northwestern University, United States

    2 publications · 65 citations

    2

    h-index

  2. SM
    Stephen Macke

    University of Illinois Urbana-Champaign, United States

    2 publications · 136 citations

    2

    h-index

  3. SS
    Shuchen Song

    University of Illinois Urbana-Champaign, United States

    2 publications · 136 citations

    2

    h-index

  4. JL
    Jialin Liu

    Peking University, China

    2 publications · 136 citations

    2

    h-index

  5. AP
    Aditya Parameswaran

    Stanford University, United States

    2 publications · 136 citations

    2

    h-index

1–5 of 262

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 28 citations

    2

    h-index

  2. SSRN Electronic Journal

    Repository · 2 publications · 44 citations

    2

    h-index

  3. Journal of Systems and Software

    JSS · 2 publications · 131 citations

    2

    h-index

  4. Molecular Systems Biology

    1 publications · 394 citations

    1

    h-index

  5. Energy & Fuels

    1 publications · 23 citations

    1

    h-index

1–5