Melissa Perri’s Post

Board Member | CEO | CEO Advisor | Author | Product Management Expert | Instructor | Designing product organizations for scalability.

3mo

With the rise of AI tools like ChatGPT, many companies are eager to jump on the bandwagon. But should product managers pivot their focus entirely toward AI? In this Dear Melissa episode, I talked about how product leaders should approach AI as another tool in their arsenal—not a reason to overhaul their product management training. Great product management fundamentals remain key, and AI should be treated like any other technology: a tool to enhance solutions, not a catch-all. What matters is understanding your users' problems first. Only then can you decide whether AI is the right solution. And if your product has an AI component, it’s important for product managers to understand how AI models work and the ethical implications behind them. Check out this Product Thinking episode with Tanya Johnson, CPO at Auror, for more insights on how to think about AI in product management. Listen here: 🎧 Spotify: https://lnkd.in/ezUQ3ijY 🎙️ Apple Podcast: https://lnkd.in/e8N_SzQD How are you thinking about AI’s role in your product strategy? I'd love to hear your thoughts! #dearmelissa #productmanagement #ai #productstrategy #techleadership

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Dear Melissa, How are companies thinking about using AI with the emergence of ChatGPT? We're training our product managers, but we're not sure how much we should be pivoting to help them understand AI versus just continuing their education. So this is a great question and I know a very timely one. As we have ChatGPT and all these wonderful AI advances coming out there, a lot of people are wondering how much should I actually dive into this? AI and machine learning and ChatGPT and everything like that is just another technological tool that I need you to keep in your tool belt, in your arsenal, your product manager. I still need to know how to do great product management. People are looking at AI in many different ways and I see a lot of companies actually scrambling to adopt AI and everywhere they possibly can just their tech out all these problems so that they can put on their company that they have an AI component. That is not the way we should be treating it. We need to really deeply understand our users problems 1st and then say is AI something where we can create a solution using it to help solve this problem better and that's how we should be looking at it Now if you do have an AI component in your. Product. It is important that product managers understand how that works. And we have a really good episode previously with Christina Polakowski, who was talking all about how you should be thinking about AI and what it really means and what product managers need to learn very specifically about machine learning and AI. So if you're curious about that, I would go back to that episode and look for Christina. And really check out what she has to say there, because she gives a great guide for how we should think about when AI can be applied and when it cannot be applied or when it should not be applied. So that's how I would start to think about that. Continue your product managers on the journey. I don't think you need to pivot anywhere to learn about AI, but definitely make sure that they understand some of the implications of what AI is and how it gets made. Because it's not just like building normal workflows, right? We do have a huge data component. The models that you have in AI and machine learning are only as good as the data that goes into it. So we want to make sure that we understand those parts as well. We also want to make sure that we are going to look at the ethical ramifications of. Building AI, which is something that we're going to be talking with Tanya about very shortly, so this episode should help you think about that. When it comes to standard product management though, and applying a, I need you to think about it in the same way you would think about any other tool, an API, a platform, all these different things. Is it going to be relevant in our solution? And is it going to make our solution better for our customers? Or if we're applying it to internal processes, which a lot of people are doing as well, will help us be more, more fast, more efficient. And Tanya has a great example in the podcast coming up about where they're thinking about using AI to surface up. Insights internally into where people might be bad actors or using their products incorrectly. So things like that are definitely how companies are thinking about AI machine learning. But don't panic, don't freak out about this new thing out there. Chat GTLM. They're fantastic. You should be looking at them. You should be seeking to understand when they can be used, but you should not be panicking and taking all your people and pivoting them in that direction, especially if it does not apply for you. So first think about it as a tool. Train your product manager as well and great. Project management and then you can approach should AI be used here and let's get them up to speed on what that actually means.

Board Member | CEO | CEO Advisor | Author | Product Management Expert | Instructor | Designing product organizations for scalability.

3mo

If you have a product-related question you'd like me to answer, submit it at DearMelissa.com, and it might be featured in an upcoming episode! 📩

Product Management Trainer, Consultant & Agile Coach, Mentor, Prompt Engineer, & Hakawati (حكواتي)

3mo

Learn it like your livelihood depends on it, because it does. It's not like any other tool. Here's about 40 minutes of video demonstrating the use of Generative AI to stand up many of the PM canvases and templates we use to facilitate conversations with real human beings. From conceptually strategic to executionally tactical. https://youtu.be/SSfZciLGmww?si=HAcjdwRvFFSvOHbR

Making Product Teams More Effective

3mo

I agree-don’t be afraid and don’t neglect product management basics to focus on AI. I have, so far, found AI to be VERY helpful in conducting competitor research, creating documents and presentations. In the near future, executives will learn to expect employees to complete certain tasks much faster. So we should all get ready by learning to use these tools.

Fractional Director of Product (ex Pitch, Circula) | Coach | Angel Investor

3mo

I couldn’t agree more: "AI should be treated like any other technology: a tool to enhance solutions, not a catch-all." It’s not a hammer for every nail, but when used thoughtfully, AI can be tremendously powerful. Product managers who properly leverage it will step up their game and stay ahead in this fast-paced world.

IBM MSFT SAP - B2B product management coach, consultant, trainer, and speaker passionate about increasing business impact with innovative, customized programs for individuals and organizations.

3mo

I think there are two aspects to consider: using AI to do PM and integrating it into our products. EVERY organization should be looking into the former as it's a game-changer today. Agree with treating it as any other technology for the latter. I'm sure there are a bunch of blockchain-based features collecting dust. 😀

Luke Bishop 🌐

Helping businesses achieve their objectives using innovative digital strategies 💎 Turning client pain points → Results that drive scalability & growth ✪ Tech Solutions Specialist ✪ Product Manager & Advisor ✪

3mo

100%. AI is a tool that can assist your productivity, it is NOT the product manager. AI will help you complete analysis of multiple data sets more quickly, thus freeing you up to focus on managing competing priorities on the roadmap with different stakeholder groups - AI won't be able to foster buy-in from stakeholders. Use it as a tool to help you be more efficient. It can't replace you.

Michael Goitein

Michael Goitein

Product, Strategy, Continuous Discovery & Content

3mo

Thanks, Melissa- you really nailed it here: “What matters is understanding your users' problems first. Only then can you decide whether AI is the right solution. “

Board Director & Trusted Advisor, CEO, Business Owner, Chair, CFO, AI Consultant, Cybersecurity, Board Strategic Planning Facilitation | M&A 100+ Deals, $400M+ Capital Raised, Veteran

3mo

integrating ai into product strategy is fascinating. it’s crucial to analyze user needs first and then evaluate if ai truly enhances your solution. what specific challenges are you addressing with ai? Melissa Perri

Helping founders & leaders scale beyond Silicon Valley. Join 10,000+ tech CEOs, execs, and investors in our private community.

3mo

The impact of AI on product roles is huge. Understanding both the tech and user needs is key Melissa Perri

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