Remove How To Remove Product Research Remove User Testing
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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. He explains how to conduct an AI-powered design sprint that transforms product concepts into clickable prototypes in just hours instead of weeks.

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Product in Practice: How Passion.io Applies Continuous Discovery to the Employee Experience

Product Talk

If youve been reading Product Talk for a while, you probably already know that the majority of the stories we share in the Product in Practice series focus on how product teams are adopting continuous discovery habits in their work. Do you have a Product in Practice story youd like to share?

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519: Product verification, most important of the 19 activities of product management – with Nishant Parikh

Product Innovation Educators

How product managers can adapt core responsibilities across different organizations and contexts Watch on YouTube TLDR Through his research and practical experience at MasterCard, Nishant Parikh identified 19 key activities that define the role of software product managers.

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Join 4 Upcoming Events on Continuous Discovery with Teresa Torres in December 2024

Product Talk

December 4th: Continuous Interviewing: Unlock the Power of Story-Based Customer Interviews This webinar is designed to help you better understand what a good customer interview looks like. It’s also an excellent opportunity to introduce colleagues to the concepts of continuous discovery. Don’t miss out— register here !

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Best Practices for Creating Long-Lasting and Continuous Discovery Habits

Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org

Industry-wide, product teams have adopted discovery practices like customer interviews and experimentation merely for end-user satisfaction. As a result, many of us are still stuck in a project-world rut: research, usability testing, engineering, and a/b testing, ad nauseam.

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How to Test Before You Build

The Product Guy

In this episode of How I PM, Michael Ionita, CEO of LFG Solutions and YouTuber, shares practical ways to test your product ideas before writing any real code. Michael’s Four Keys to Testing Before You Build: Run Painted Door Experiments Present a clickable version of a future feature. If not, you just saved a sprint.

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Y Oslo 2024: When It Comes to Discovery, Something is Better Than Nothing

Product Talk

I was asked to give a ten-minute overview of my continuous discovery framework and then participated in a fireside chat where the host, Cecilie Smedstad , asked me to go deeper in a few areas. Discovery is a team sport. Its not the exclusive domain of product managers. Its not the exclusive domain of UXers. This is nonsense.

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How to Work with Your Customer Success Team to Create a Great Product Feedback Experience

Speaker: Rebecca Notté, Product Operations Manager and Hannah Chaplin, Director of Product Marketing at Pendo

Throughout this series, we have been discussing ways to innovate your feedback loops, and strategies for incorporating your customers into the heart of your product development systems. It is very common for your product operation team to feel overwhelmed with the amount of customer data that is available to them.

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Product Research 201: The Intermediate Guide to De-Risking Decisions

Bring the voice of the customer into your decisions with product market research. This guide will help you find out how to clearly define your learning objective, create questions to support the objective, build screener questions to get the right audience, and more!

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Building a Research Flywheel: A Helpful Guide for Product Managers & Their Teams

Speaker: Jessica Hall, Product Strategy & Design Leader and Co-Author of The Product Mindset

You’ve heard of Amazon and Vanguard, two of the most successful customer-focused businesses in the world, but have you heard Jim Collins’ Flywheel Effect? Every step of the product journey is informed by research: what works, what doesn’t, what customers want, what they need.

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Why Product Managers Must Relearn Their Customers

Speaker: Janelle Estes, CIO, User Testing

The impact on businesses cannot be understated, and product managers have felt the brunt of it. So how do you adapt your product development process knowing that your customer's behaviors and expectations have completely changed over the past year? Integrating their feedback is the first step!

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The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product.

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Hooked - How to Build Habit-Forming Products

Speaker: Nir Eyal, Author of Hooked: How to Build Habit-Forming Products

Why do some products capture widespread attention while others flop? What makes us engage with certain products out of sheer habit? Is there a pattern underlying how technologies hook us? Hooked, the book, is based on Eyal’s years of research, consulting, and practical experience.

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The Art and Science of Explaining Your Product Strategy

Speaker: Jason Tanner, CEO of Applied Frameworks

Ideation, discovery, research, and analysis all inform the development of a product strategy that evolves iteratively as the product team learns more about customers, their problems, and potential solutions. However, effective communication of product strategy often presents challenges for product leaders.

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How To Design Your Next Roadmap with Data-Driven Pit Stops Masterclass

Speaker: Sonia Singhal, Product Manager at eBay

These days, a simple A/B test can seem to incorporate the whole alphabet, and making a decision from that data isn't as easy as A, B, C either. How do we know we are testing the right thing? How can we shorten the time it takes to do the tests while gaining larger amounts of data? A Live/On-Demand Masterclass.