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I’m going to take a wild guess and assume that you already understand the importance of mobile in-app feedback tools. You also might be reading this post thinking: “Who’s adding new tools to their tech stack right now?” Do you have the right tools to capture that voice? This is a valid question. Apptentive.
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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 predictive analytics.
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A Technical Exercise In this post, I’ll offer my idea of the sort of technical abilities expected from a product manager. But is a surprisingly small amount of materials about the technical aspect of PM work. The Product Interview?—?A This can be highly useful for hiring managers, as well as for PMs planning their roadmap.
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I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. But when we use generative AI to replace customer interviews , to generate opportunity solution trees , or to do our thinking for us, we fundamentally misunderstand the purpose of discovery. Don’t get me wrong.
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