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Reference table

How often product ideas work: published hit rates

Table of published hit rates for product ideas from Microsoft, Bing, Netflix, QualPro, Avinash Kaushik and Quicken Loans, most near one in three or lower.
Six sources in different industries land in the same place: most ideas do not move the metric they were built for. Source: Kohavi et al., Online Experimentation at Microsoft, and the sources named in each row

A table of the success rates that teams running experiments have published for their own product ideas, from Microsoft's one in three to QualPro's 150,000 tested business ideas. Use it as the outside view when your team scores confidence on a roadmap, since it is the prior a new idea starts from. Koji helps teams test ideas with customer interviews before they are built.

Where this appears

What's in this reference table

SourceDomainReported rate
Microsoft (Kohavi et al.)Software features, controlled experimentsAbout 1/3 improve the target metric
Bing (Kohavi et al.)SearchLower than 1/3
Netflix, cited in Moran (2007)Web productConsiders 90% of what they try to be wrong
QualPro (Holland and Cochran, 2005)150,000 business improvement ideas over 22 years75% had no impact on performance or hurt it
Avinash Kaushik (2006)Web analytics80% of the time wrong about what a customer wants
Regis Hadiaris, Quicken Loans, cited in Moran (2008)Financial services testingRight about a test outcome about 33% of the time after five years

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<p>Source: <a href="https://www.koji.so/visuals/product-idea-success-rates-published-sources">How often product ideas work: published hit rates</a>, Koji</p>