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Maximizing Productivity: A Practical Guide to ChatGPT Product Management

The Product Coalition

We are living in exciting times — the area of the rise of AI tools. Product Management is a challenging and dynamic field that requires constant adaptation to new technological developments on the one hand and changing customer and market demands on the other hand. You probably heard about chatGPT and the daily changes in the field.

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Guide To Leveraging AI Tools For Customer Success Managers

Userpilot

A powerful AI tool can be the perfect companion to your customer success platform. However, AI tools also come with their own caveats. In this article, we will explore: How to leverage AI tools for customer success and retention. Best AI tools for customer success managers (CSMs).

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How Using ChatGPT for Product Management is a Valuable Time-Saver

Usersnap

From staying on top of market trends, user needs, customer feedback , and industry insights to managing their resources, and planning what’s ahead for their product. With the release of ChatGPT, it seems like a digital assistant has arrived. What is ChatGPT? Let’s get started!

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You are a builder. Can AI replace you?

Mixpanel

And what makes you a builder is not just your ability to code, sketch an illustration, or write copy for a marketing campaign; it’s that you handle everything involved in taking an idea to a finished product. It’s agonizing over moving targets, considering new data, and even changing your mind on what you think is good.

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Product Trends 2023 – AI, AI &…driving more value. Top product experts share their opinions.

Userpilot

After the overnight success of Chat OpenAI, it’s no wonder predictions related to using AI and machine learning to increase our understanding of user behavior , greater automation of low-level tasks , and GPT-4 dominate Product Managers’ and Marketers’ projections for the upcoming year.

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How should you monetize your AI features?

Lenny Rachitsky

I’m excited to offer you his insights on pricing for AI features and products, which looks very different than it does for other technologies. And what can we learn from that data? I focused on the “application layer”—companies that are building end-user products (e.g.

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Summary: AI and product management | Marily Nika (Meta, Google)

Lenny Rachitsky

Opportunities, exclusive templates, course discounts and tools that will transform your career. Staying informed on AI developments ▶ Sources for AI news: Marily recommends following experts on Twitter and subscribing to any tech-focused newsletters, like the MIT Technology Review. Leverage the data that is just sitting around.