Co-authors: Alexander Ivaniuk, Jingbang Liu At LinkedIn, we like to say that experimentation is in our blood because no production release at the company happens without experimentation; by “experimentation,” we typically mean “A/B testing.” The company relies on employees to make decisions by analyzing data. Experimentation is a data-driven foundation of the...
A/B Testing Articles
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- Topics:
- Developer Productivity,
- A/B Testing,
- experimentation,
- T-REX,
- Data
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“Make LinkedIn feel instantaneous” is a mantra our performance team lives by to deliver the best possible experience to our members. We are constantly on the lookout for ways to improve our site speed and user experience, be it through optimizing our infrastructure and edge, accelerating our web and mobile applications’ performance, or tuning our systems and...
- Topics:
- Performance,
- A/B Testing,
- experimentation,
- 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
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At LinkedIn, we use data to improve our members’ experiences while using our site. On the video team, we value metrics that yield...
- Topics:
- A/B Testing,
- experimentation,
- NYC Engineering,
- Data,
- Performance,
- Video,
- T-REX
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Co-authors: Bonnie Barrilleaux and Dylan Wang Our 567M members use the LinkedIn feed to talk to each other a lot: more than a million...
- Topics:
- Feed Personalization ,
- A/B Testing,
- data science,
- experimentation,
- Data,
- relevance,
- T-REX
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Editor’s note: The use of AI in LinkedIn products has been the subject of multiple press articles and research papers (some...