Product Innovation Educators
DECEMBER 2, 2024
Using a custom ChatGPT model combined with collaborative team workshops, product teams can rapidly move from initial customer insights to validated prototypes while incorporating strategic foresight and market analysis. Instead of focusing solely on today’s customer problems, product teams need to look 2-5 years into the future.
Userpilot
MAY 30, 2025
Most product teams get mobile app analytics wrong. They track 47 different key performance indicators (KPIs) in their mobile analytics platform , spend hours debating dashboard numbers, yet can’t predict which users will churn next week The problem here isn’t a lack of data.
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Product Innovation Educators
JANUARY 13, 2025
Doug offered practical solutions through three powerful frameworks that can transform how teams approach innovation and problem-solving. Proactive Problem Solving Doug was motivated to write Proactive Problem Solving by two pieces of data showing the impact of reactive problem solving: The average manager wastes 3.5
Product Innovation Educators
DECEMBER 16, 2024
Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.
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Think your customers will pay more for data visualizations in your application? 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.
The Product Guy
FEBRUARY 20, 2025
Below is a preview of key insights. Strategies for Maintaining Product Vision Without Losing Adaptability Use a structured prioritization framework (e.g., Make switching easier Allow parallel use with existing tools and automate data migration from competitors. Use decision-making frameworks (e.g.,
Userpilot
MAY 27, 2025
It’s what you do with the behavior data your app collects. And by behavior data, I dont mean installs (thats the easy part). Mobile app tracking captures data on how users interact with your app, including actions such as screen views, button taps, session length, and feature usage. What is mobile app tracking?
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Our free assessment tool reveals where your team excels and uncovers opportunities for growth across six key dimensions: Context, Investigate, Define, Create, Deliver, and Leadership. Step 2: Get Immediate Insights Receive a detailed report of insights and strategies to enhance team performance.
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Written by Mixpanel’s Director of Analytics Strategy, Fatih Koca, get the tools, insights, and framework top companies use to define their product metrics. Tracking the right metrics is crucial to innovating your products and growing your business.
Advertiser: ZoomInfo
Leveraging a data provider to help identify and connect with qualified prospects supports company revenue goals by alleviating common headaches associated with prospecting research and empowers sales productivity. Download ZoomInfo’s data-driven eBook for guidance on effectively assessing the vendor marketplace. So what’s the problem?
Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL
Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? Save your seat for this exclusive webinar today!
Advertiser: Amplitude
Building a foundation for growth begins with the right analytics solution. To discover the best analytics solution for your needs, you need a proven framework to guide your organization through the process.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. When developing a Gen AI application, one of the most significant challenges is improving accuracy. The number of use cases/corner cases that the system is expected to handle essentially explodes.
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