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528: From startup founder to product success and why interacting with people is the big change – with Anya Cheng

Product Innovation Educators

How an AI-powered fashion startup achieved product-market fit Watch on YouTube TLDR In this episode, we’re joined by Anya Cheng, former product leader at Meta, eBay, McDonald’s, and Target, and current founder of the AI-powered fashion startup Taelor. ” The problem?

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Product in Practice: Making Customer Interviewing a Habit in an Early-Stage Startup

Product Talk

Sometimes it’s because they’ve personally experienced a pain point and want to address it. This means that even when startup founders are motivated to test their ideas, they are more likely to notice the evidence that suggests their idea is fantastic and miss the evidence that suggests their idea is flawed.

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517: How to conduct an AI Design Sprint – with Mike Hyzy

Product Innovation Educators

A custom ChatGPT model that helps accelerate product innovation Watch on YouTube TLDR In this episode, I interview Mike Hyzy, Senior Principal Consultant at Daugherty Business Solutions. Instead of focusing solely on today’s customer problems, product teams need to look 2-5 years into the future.

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How Continuous Discovery Works (and Doesn’t) in Early-Stage Startups

Product Talk

“I get that the continuous discovery habits framework works well for mature products, but does it work for early-stage startups?”. I spent all of my full-time employee experience at early-stage startups (many of them pre-product) and I relied on these same habits to figure out what to build. This question always surprises me.

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Ask Teresa: For Customer Interviews, Who Counts as a Customer?

Product Talk

Whenever I introduce the topic of customer interviews (the foundational element of continuous discovery ), I get a lot of questions about who counts as a customer. Tweet This Ask Teresa: Who counts as a customer? Customers can vary depending on your company and product. Tweet This Let’s look at a few common scenarios.

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The Interview Snapshot: How to Synthesize and Share What You Learned from a Single Customer Interview

Product Talk

When you start interviewing customers every week, it’s easy to get overwhelmed by how much you are learning. When we use our customer interviews to collect specific stories about past behavior, every conversation can uncover dozens of unmet customer needs, pain points, and desires (AKA opportunities).

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How to Succeed with AI in 2025

Piyanka Jain

Think AI-powered chatbots that frustrate customers more than theyhelp. If AI isnt solving an immediate pain point, employees will ignore it. Forexample: Start with AI-powered recommendations for sales teams, then expand to predictive analytics for customer behavior.