dc.contributor.author | Hauser, O | |
dc.contributor.author | Luca, M | |
dc.date.accessioned | 2018-07-27T15:01:22Z | |
dc.date.issued | 2015-10-29 | |
dc.description.abstract | The rise of experimental evaluations within organizations — or what economists refer to as field
experiments — has the potential to transform organizational decision-making, providing fresh
insight into areas ranging from product design to human resources to public policy. Companies
that invest in randomized evaluations can gain a game-changing advantage.
Yet while there has been a rapid growth in experiments, especially within tech companies, we’ve
seen too many run incorrectly. Even when they’re set up properly, avoidable mistakes often
happen during implementation. As a result, many organizations fail to receive the real benefits of
the scientific method.
This article lays out seven steps to ensure that your experiment delivers. These principles draw
on the academic research on field experiments as well as our work with a variety of
organizations ranging from Yelp to the UK government. | en_GB |
dc.identifier.citation | Published online 29 October 2015 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/33562 | |
dc.language.iso | en | en_GB |
dc.publisher | Harvard Business Publishing | en_GB |
dc.relation.url | https://hbr.org/2015/10/how-to-design-and-analyze-a-business-experiment | en_GB |
dc.rights.embargoreason | Under indefinite embargo due to publisher policy. | en_GB |
dc.rights | © 2015 Harvard Business Publishing | en_GB |
dc.title | How to Design (and Analyze) a Business Experiment | en_GB |
dc.type | Article | en_GB |
dc.identifier.issn | 0017-8012 | |
dc.description | This is the author accepted manuscript. The final version is available from Harvard Business Publishing via the DOI in this record | en_GB |
dc.identifier.journal | Harvard Business Review | en_GB |