Read it for
- Experiments
- Decision making
- Measurement
What this book covers
Michael Luca and Max H. Bazerman explain experimentation through organisational examples. The book is useful for a client or leadership discussion about replacing assumptions with a testable question. External criticism also raises an important boundary: a successful small intervention may offer limited guidance about a larger, more complicated problem.
Bring it to your work
Choose one consequential client decision that could be informed by a controlled test. This is a PMC editorial prompt.
Reading context
A broad introduction through business examples, not a paid-media experiment setup manual.
External reviews & commentary
These are other readers’ assessments, summarised with their original source and context. Recommendations, review fees and earlier editions are identified below.
Stanford Social Innovation Review: Lisbeth B. Schorr ↗
Schorr finds the experiment stories engaging but argues that small, tightly defined interventions offer limited guidance for complex social problems. For agency readers, that is a useful prompt to define the boundary of a test’s finding before generalising it.
Context: Summer 2020 review of the original work; exact publication day unconfirmed. The criticism concerns the scope of social-policy applications, not a rejection of all experimentation.
Prepared with AI assistance from the sources identified on this page. The applications and comparisons are Paid Media Collective suggestions, not claims of full-book reading. An external review does not verify every claim in a book.
Another book to consider
Trustworthy Online Controlled Experiments →
Choose this for the operational and statistical work involved in running trustworthy A/B tests.
Edition & source notes
The reference below identifies the material checked for this listing. It may differ from the format offered by the main book link.
- Reference edition
- Numbered edition unspecified; paperback
- Format
- paperback
- Reference edition date
- 2 March 2021
- ISBN-13
- 9780262542272
Publisher or author description reviewed. Sources checked . Book not read in full.
Access: See the publisher or author for available formats and prices. Public samples are linked where checked.
A broad introduction through business examples, not a paid-media experiment setup manual.
Applications, priorities and coverage depth are editorial judgments. Book not read in full.
Source facts and reading prompts prepared with AI assistance. The named authors and linked publishers retain credit for the original work. Source verification is separate from an assessment of current platform tactics.
Take the idea off the page.
What decision will actually change if the test contradicts our expectation?
Talk with the collective
