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How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams.
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More accurate and actionable insights Relying on just one feedback channel (like post-purchase surveys) can lead to biased or incomplete data. Others are more likely to respond to in-app surveys, providing quick feedback within the platform they use most. annually, compared to 3.4%
Each week I tackle reader questions about building product, driving growth, and accelerating your career. Below, you’ll find what I believe is the most actionable, specific, and straightforward framework for crafting a strategy, for both your product and your company. Subscribe now. So we teamed up to make that happen.
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Enter Rumi Cosmetiques , a brand that aced the eCommerce game by doing precisely this. Spoiler alert: it worked wonders, demonstrating that when you align your brands digital strategy with your users expectations, you achieve incredible results. Branding also received a fresh coat of paint. Ready to uncover their secrets?
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Luckily, the canvas can also be applied to individual products, as the following example illustrates. [1]. The horizontal axis of the canvas captures the key factors companies compete on to provide their products. By assessing the degree to which the iPhone and the competitor products fulfil the twelve factors, two lines are created.
. – Tweet This I was very intentional about including the word “habits” in my book title, Continuous Discovery Habits , because I wanted to emphasize the fact that anyone can make small changes in their behavior to get better at discovery. Overview of the Continuous Discovery Habits Community: What Is It and Who Participates?
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