In our last post, we argued that adding some basic user research skills to your data team’s toolbox can have a big impact on the usability of the data products you build. Ultimately, this enables you to add more value to the organization. In this post, we’ll dig deeper into methodologies you can start with and concrete steps to make your research program a success.
How do user research practices
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Your team invested a lot of effort into building self-service data tools, but your stakeholders aren’t using it as much as you hoped, or in the ways that you hoped.
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Data teams aim to help the people in their organization make better decisions. Many data teams aren’t doing this as well as they could and are missing out on a
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In part 2 of this series, we learned that every new initiative a team undertakes should be accompanied by an expectation on how the initiative will perform. For example,
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The MBR meeting is the focal point of the MBR program. Here you will publicly interrogate KPIs, align on action items and hold people accountable. There are typically
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Getting regular feedback from your organization can help the data team to prioritize the work that will have the biggest impact on your stakeholders. However, it’s hard to turn ad-hoc
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KPIs are central to the business review program since they provide a way to reason about the success or failure of an initiative. Core to the success of a
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As an analytics leader, my job is to ensure that my organization makes the best data-driven decisions possible. One effective mechanism that I employ — and other analytics leaders can too — is the business review program. This program is a rigorous and systematic review of the most important Key Performance Indicators (KPIs) across the company, with involvement by senior leadership in an ongoing and iterative fashion, punctuated by a regularly occurring cross-functional meeting. …
It’s becoming more and more clearly recognized that the promises of the machine-learning revolution, at least for your average non-big-tech company, are not delivering the value that many had hoped
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