Abstract
In the previous chapter, we looked at what is known as the “Planning Phase” of experiment-driven product development. In that phase, we collected together all kinds of raw material that form the basis of product development work, turned them into experiment-ready questions, and prioritized among them.
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- 1.
It also helps to avoid what’s known as “HARKing,” or “hypothesizing after the results are known.” Sure, when analyzing the results of an experiment, you can come up with new assumptions, premises, and so on, but these are not equivalent to hypotheses that will actually yield useful answers.
- 2.
“What Makes an Experience Seem Innovative?” 2013 https://articles.uie.com/innovative_experience/
- 3.
For instance, the European GDPR laws: https://ec.europa.eu/info/law/law-topic/data-protection_en
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© 2019 Paul Rissen
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Rissen, P. (2019). Hypotheses, Measures, and Conditions. In: Experiment-Driven Product Development. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5528-5_6
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DOI: https://doi.org/10.1007/978-1-4842-5528-5_6
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Publisher Name: Apress, Berkeley, CA
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Online ISBN: 978-1-4842-5528-5
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