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513: What product leaders need to know about making new product development work – with Jack Hsieh

Product Innovation Educators

He explains how the company handled three distinct product lines: Smartphones High-end feature phones Low-end feature phones This experience taught him important lessons about resource allocation. The overlapping work schedule only provided 190 days per year for full team collaboration, making resource planning especially important.

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

Product Innovation Educators

Consider the differences between how large and small companies conduct research – if you’re in a large organization, how could you better leverage existing research resources and break down silos? If you’re in a smaller organization with limited resources, how could you conduct meaningful research on a budget?

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

Product Innovation Educators

This allows for immediate testing and validation of the user experience. The team’s creative energy feeds into the AI tool’s capabilities, while external validation helps refine and improve the outputs from both human and AI contributions. What makes this process particularly valuable is its flexibility.

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Overcoming Challenges in Stakeholder Management: Strategies for Navigating High-Stakes Decisions

The Product Guy

For instance, if you’re asked to prioritize a feature that isn’t solving a customer problem, present research showing how the feature would impact user experience or how alternative features better serve your market. Sometimes, these expectations are simply not achievable given resource or time constraints.

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The Product Corner: Maximizing Impact, Reducing Hours, and Accelerating Roadmaps with Data

Speaker: Edie Kirkman - VP, Digital at Focus Brands

In today's hyper-digital landscape, organizations face the challenge of launching successful products while making the most of limited resources. To overcome this challenge, it is crucial to build core product and technology competencies that provide actionable insights through qualitative and quantitative data analysis.

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How to Build and Improve Your Product Analytics Strategy

Userpilot

A product analytics strategy is essential for any business looking to make informed decisions about product development and user experience. Plus, there are many reasons why you need a product analytics strategy: Aligns product development with user needs and business goals. Lack of team resources. Outdated technology.

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No 16. Some AI Learning Resources & Insights

UX Planet

This transformation was possible because of my focused approach to learning, and today, I want to share how I built my AI knowledge framework and some resources that made a massive difference in myjourney. I focused on understanding AI products, the strategies that drive them, and how AI can enhance user experience and business outcomes.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.