Co-authors: Guillaume Saint-Jacques, Stuart Ambler Last month on this blog, we introduced how we are building inclusive products through A/B testing, something we internally call Project Every Member, and discussed the novel application of inequality A/B testing using the Atkinson index and the use of this technique in the product design process at LinkedIn....
Posts by Guillaume Saint-Jacques
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- Topics:
- data science,
- experimentation,
- machine learning,
- research,
- Product Design,
- Data
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Co-authors: Guillaume Saint-Jacques, Amir Sepehri, Nicole Li, and Igor Perisic Introduction Previously on this blog, we’ve shared information on best practices in data science, particularly in areas such as A/B testing. We’ve also discussed the importance of ethics in fields such as data science, early implementations of “fairness by design” principles in our...
- Topics:
- A/B Testing,
- data science,
- experimentation,
- research,
- Product Design,
- Data,
- machine learning,
- T-REX
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At LinkedIn, most decisions are made using experiments. When we want to decide between two features, we test them against each other in the real world: we give feature A to a random set of members, feature B to another set, and we compare the results. Are users of feature A more engaged? Do they have a better experience with our products? If so, feature A wins....
- Topics:
- A/B Testing,
- Testing,
- data science,
- experimentation,
- T-REX,
- Data