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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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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.
After every discussion with customers, sales, service, leadership and my colleagues, I was left with a laundry list of problems that needed my attention. As a product manager, my goal is to ensure customer satisfaction, long term success of my product and contributing to the success of my organization.
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Our customers use our product intelligence platform to iterate quickly on big bets, and to stay ahead, they will need a platform that can instantly predict which features and campaigns are most likely to cause growth and make faster product bets without extensive A/B testing—they need predictiveanalytics with causal insights.
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Todays Fintech disruptors and neobanks are igniting our brains reward centers with flashy visuals, gamified challenges and social interactivity that practically beg us to keep coming back for more. It ultimately changes how we think about financial services. Today, clients expect more than a basic straightforward financial service.
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According to Gartner, more than 3,000 CIOs ranked Business Intelligence (BI) and Analytics as the top differentiating technology for their organizations. If BI and Analytics is such a game-changer, then why is the average adoption rate in organizations only 32%? But the industry is undergoing a fundamental transformation.
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How can product analytics help product managers create better digital products and more satisfying user experiences? We finish with an overview of product analyticstools that your team can benefit from. We finish with an overview of product analyticstools that your team can benefit from. Book the demo!
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