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Jun 16, 2022
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This definition moves us away from the standard concepts of operating costs and product revenue , and allows for a more comprehensive, customer-centric mental model. As the product industry moves from "vanity" to "actionable metrics," it's not enough to executive email list say that Product A's monthly recurring revenue (MRR) or user growth or loss by X% is good to know, but It doesn't tell us why or what to do. Sophisticated data agencies are able to integrate executive email list multiple data sources (financial, user behavior, NPS, or feedback, etc.) to better understand how product changes affect the business. Trying to combine performance and perception metrics can help us better understand the experience and help us prioritize where research can have a bigger impact. After design and research iterations, this approach can be extended to correlate changes in design or processes to business-level KPIs. The ability to tell these kinds of business stories is critical to UX executive email list leadership and requires a certain level of data literacy on the team. Product operations will be able to assist with useful data, but we still need to study operational data to help us gain insights executive email list faster. I will introduce research operations from two 2019 cases where I try to solve the challenge of demand outweighing resources. The first example is at the end of a recent Google presentation, where an audience member asked, "How did you recruit people for this research?" The researcher from Google replied: "Well...we are Google...we have a dedicated recruiter A team of participants.” The executive email list second example is a conversation with a researcher at Microsoft, who explained that they use the operations team to recruit users and can conduct research projects within a week. It executive email list sounds like research operations would be good for Microsoft and Google, but why is it important? As agile development continues to evolve (for better or worse), it's getting harder and harder for us to deliver reliable research in the right time frame.
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