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522: Stop the stupid using proactive problem solving – with Doug Hall

Product Innovation Educators

hours daily fixing problems, with 75% of issues stemming from broken systems rather than employee mistakes. Even more concerning, products typically lose 50% of their innovative value during development as unique ideas get compromised to fit existing systems. Doug shared that the average manager wastes 3.5

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520: The future of AI in product management – with Mike Todasco

Product Innovation Educators

He explains that their approach to innovation deliberately avoided the common pitfall of creating a two-tiered system where only designated “innovators” were responsible for new ideas. He illustrates this with a recent experience helping an entrepreneur develop a video analysis product.

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529: Is this the best AI-powered market research approach? – with Carmel Dibner

Product Innovation Educators

Rather than replacing human researchers, AI serves as a copilot, helping product teams uncover twice as many unique needs while reducing analysis time and eliminating bias. In this discussion, we’ll explore how LLMs are revolutionizing Voice of the Customer analysis.

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A Leader's Guide to Metrics Reviews

Sachin Rekhi

One practice that both companies established was weekly executive-level metrics reviews. I've come to believe that establishing such a metrics review meeting is critical for developing an effective data-driven culture and I wanted to share some of the best practices around doing so. Why metrics reviews matter.

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Going from College to Product Manager

The Product Guy

I discovered that I must research and understand the entire system and process, problem solve with my team, and share lessons learned. This was due to incorrect contribution amounts, the system not finding an account, or invalid employer data. These system errors increased our backlog and costs, and delayed enrollments.

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Strategy Blocks: An operator’s guide to product strategy

Lenny Rachitsky

Step 1: Preparation (3-5 weeks) The preparation step is a foundational effort where a lot of the groundwork and due diligence is done to inform the strategy selection process. Behavioral insights: The data lead is responsible for producing a comprehensive meta-analysis of past behavioral analyses available at the company.

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UX Moments: Sell me this pen

UX Planet

Competitive Analysis: What are competitors doing? Internal System Optimization: Designers can improve the internal systems used by employees (e.g., Clear and comprehensive product information Returns are often due to a mismatch between expectation and reality. What works for them? What doesn’t?

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