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Without effective UX analytics that goes beyond collecting data, you’re losing valuable customers. Unfortunately, the research backs this up, with a staggering 90% of usersreporting that they stopped using an app due to poor performance. Basically, anything that ruins the userexperience.
While “use data to drive decision-making” sounds obvious, there’s a HUGE gap between saying it and doing it well. So, how do you get started with product analytics ? In this article, we’ll talk about: What product analytics is and why you need a solid strategy. What is product analytics?
This unique combination developed both her analytical thinking skills and her ability to question assumptions – capabilities that would later prove valuable in her product career. Her first professional role was with a retail industry consulting company, where she started as a part-time employee during college.
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Let’s review everything your customer success team has to do in the absence of any customer success tools. Collect customerdata to calculate complex formulas for tracking metrics, monitor customer health scores, and resolve support tickets while continuously trying to improve retention and expansion.
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The opportunity solution tree helps visualize all the work that goes into continuous discovery. And while opportunity solution trees have become increasingly common among product teams, there’s still plenty of room for customization, both in the way you set up your trees and the tools you use to build them.
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And not because AI itself is broken, but because companies keep treating it like a science project instead of a tool that actually needs to solve problems. By the end of 2025, the winners wont be the companies throwing money at flashy AI experiments. Think AI-powered chatbots that frustrate customers more than theyhelp.
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Ruthless prioritization translates to product teams spending time building the right thing at the right time. The objective is to receive feedback and prioritize it internally against (1) company objectives (2)customer pains/experience (3) Quarterly Product OKRs and ship out solutions. . Get Insights.
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Note that Ive decided not to state the names of the tools I found, partly as the AI landscape is changing rapidly and partly as you should research and select the tools that work best in your context rather than trusting my judgment. [2] 2] Market Research AI-based tools can discover user and customer trends using predictiveanalytics.
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Speaker: Laura Klein, Principal at Users Know and Author of UX for Lean Startups
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