HIGH_DENSITY_DATA
FILE_REF: data-experimentation-works // VERIFIED_ENTRY
ENTRY_DATE2020_01_01
Experimentation Works
01_ABSTRACT_SYNOPSIS
Experimentation Works makes the case that organizations learn faster and make better bets when experimentation is treated as a core operating habit rather than a specialized analytics function. Stefan Thomke draws on product and platform examples to explain how good experiment design improves speed, confidence, and accountability. PMs can use it to sharpen how they frame tests, interpret results, and build experimental systems around product decisions.
02_INDEX_NODES
- Why experimentation should be treated as an organizational capability, not a side projectP.042
- How to frame experiments around decisions instead of vanity metricsP.084
- What strong experimentation cultures do differently from occasional test runnersP.126
- How PMs can increase learning speed without lowering rigorP.168
PUBLICATION_DATE2020
ISBN_RECORDN/A
PAGES352_UNITS
LANGUAGEENGLISH
LEVELINTERMEDIATE
RECORDS_IDdata-experimentation-works
FILE_SIZE17.6_MB_RAW
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