Little Data, Big Data and Design at LinkedIn

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JULIE MARIE NORVAISAS and JONATHAN “YONI” KARPFENLinkedIn

LinkedIn's User Experience Design (UED) Research team is relatively small. The data we gather is even more drastically outnumbered. LinkedIn’s design and product development process is steeped in behavioral data, real-time metrics, and predictive models. Working alongside teams generating and focused on big numbers, our group of qualitative researchers helps decision makers understand how our products fit into members’ lives, envision future experiences, and take a peek behind the numbers. We'll share how our team discovers and uses “little data” to inform and inspire, in the context of a company driven by “big data.”

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  6 comments for “Little Data, Big Data and Design at LinkedIn

  1. November 6, 2014 at 10:52 am

    […] “Yoni” Karpfen of LinkedIn’s User Experience Design (UED) Research Team share how their team discovers and uses “little data” to inform and inspire, in the context of a company driven by “big […]

  2. Profile photo of Rich Radka
    November 7, 2014 at 12:55 pm

    I remember this presentation as one of the standouts and the paper is great as well. Thanks for a well-structured, very open and plain language narrative from your practice at LinkedIn. I find a lot in here really useful for thinking about intelligent ways to combine clients’ existing quant data with our ethnographic approach as well as to use your stories as analogies for my team and snowblind clients.

  3. Profile photo of Dan Szuc
    November 17, 2014 at 3:58 am

    Be nice to learn more about the approach in deconstructing the stories together.

  4. June 16, 2017 at 12:41 pm

    […] has been a good deal of discussion of the relationship between the EPIC community and new practices of big data. Will the data scientists have the final […]

  5. February 8, 2018 at 2:26 pm

    […] Little Data, Big Data and Design at LinkedIn Интересный кейс о подходе исследовательской команды LinkedIn к анализу входящей информации о пользователях. Они комбинируют данные из множества источников для понимания особенностей поведения. Статья доступна только по регистрации, зато бесплатной. […]

  6. March 7, 2018 at 3:59 am

    […] growing number of publications at EPIC (e.g., by Churchill, Fiore-Silfvast & Neff, Nafus, and Norvaisas & Karpfen) and elsewhere (e.g., by Elish & boyd and Kitchin) have also furthered the discussion about […]

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