AI Product Management
Addresses the unique challenges and opportunities in managing AI-powered products. Topics include AI adoption strategies, integrating AI into product roadmaps, AI innovation, and evaluating AI product performance.
Viral Moments
34
Massive conversion rate jump.
AI isn't just a tool.
Trust is everything!
Users want more AI!
SaaS to license shift
Transform your company first
AI + scheduling = success?
Beyond simple automation
AI's 3 problem-solving modes
Challenge old assumptions.
Measure what matters!
Trust your AI?
Algorithm great, product failed?
AI changed everything.
AI needs to fit YOUR life
Doctors ignoring critical AI alerts?
AI for partnerships!
Demos vs. Deep Quality
AI tools, but no usage?
Beyond traditional product management
Security teams overloaded?
Design your output first!
93% accuracy!
Strategic model training
My AI couldn't confuse students!
Beyond the numbers!
Why two AI's are better!
Devs are the key.
Partnership is the key
Team readiness is key!
Save money with existing AI!
Full funnel assistant!
Scaling feedback was impossible!
Your practice partner!
Key Quotes
8
“The key in MVP is the letter M, that it shouldn't be minimal, it should be meaningful.”
“The industry is changing, and the role has changed. If until today there was a place for product managers who only dealt with the process, today there is no longer a place. The process is you, and you need to be able to build the product end-to-end.”
“The data tells us 'what,' but it doesn't tell us 'why.' And there's a whole world of what they tried and didn't succeed at that we won't get from the data.”
“I think that people a lot of people dramatically under undervalue how unique their knowledge is about about specific things that they might be the experts on.”
“You can't fake user empathy. User interviews are great, design partners are really good, it's important, but in my opinion, it's never really enough if you don't experience the real pains of the users.”
“The main reason is that in AI, a lot of features come out, there's a rain of capabilities constantly coming out, many of them are on Reddit and GitHub, and these are places I really try to be in today, but there's no denying, my researcher or very studious developer is there a thousand times more than me and I need him to understand the users so that when he sees an opportunity he knows to tell me, Lior, 1.3 came out.”
“The risk was, in a place where you actually want, our goal is not just for our users to do the work, but we also want to empower our users.”
“The core is not the algorithm at all. The algorithm, they have no problem with it, they didn't say it's inaccurate, I don't believe it. The core is, notify me when it's relevant to me, at the right time for me, with the information I want to see.”
Chapters
58
Articles
8
In the dynamic world of product development, the path to innovation is rarely straightforward. Liat Peled, VP Product at Pango, recently shared a compelling case study on how her team navigated the complexities of urban parking, leveraging AI and a redefined approach to the Minimum Viable Product (MVP) to deliver a truly impactful solution. The story of Pango's sign scanning feature offers valuable lessons for product managers striving to solve 'unsolvable' problems.
The landscape of product management is undergoing a significant transformation. No longer confined to strategic planning, product managers are increasingly expected to be "builders" capable of taking a product from conception to market. Ran Erez, a product leader, embarked on a challenging 30-day project to demonstrate this shift, aiming to build a real product for paying customers using AI tools, all while dedicating just one hour a day.
In today's hyper-accelerated market, product managers often find themselves at a crossroads: either conduct deep, time-consuming qualitative analysis or move quickly with superficial, gut-instinct decisions. Chen Eperman Kor, Senior Product Manager at Lightrun, shares a groundbreaking approach to overcome this challenge, demonstrating how AI can revolutionize the way product teams understand user behavior and drive strategic growth.
Ben Arez, a veteran product manager and passionate coach, embarked on a solopreneurial journey that led him to an innovative solution for a common challenge: scaling personalized feedback. His creation, an AI co-pilot designed to assist product management interview candidates, not only transformed his business but also offers a powerful playbook for anyone looking to amplify their unique expertise with artificial intelligence.
In a rapidly evolving SaaS landscape, Lusha, a sales intelligence company, faced the challenge of integrating AI to expand its value chain beyond lead generation. Director of Product, Salam Bisan, led an ambitious initiative to build a Zero-to-One AI-powered assistant in a mere eight weeks. This journey not only transformed their product offering but also underscored the critical importance of deep user empathy and an innovative "dogfooding" strategy.
In an era where artificial intelligence is rapidly transforming industries, product teams face the challenge of adapting their offerings to evolving user behaviors. Lior Sassi, a product manager at Lightricks, shares her team's journey of "rediscovery" when their established product-market fit was disrupted by the rapid advancements in AI, forcing a fundamental rethink of their creative platform.
In the competitive landscape of B2B SaaS, user onboarding is a make-or-break moment. Raziel Einhorn, a Product Manager at Pekan AI, shares their transformative journey tackling the pervasive 'blank page problem' – where new users struggle to initiate engagement with a complex product. Their story is a testament to innovative problem-solving, leveraging cutting-edge AI, and the critical importance of deep user understanding.
A-Doc, a pioneering healthcare AI company, faced a perplexing problem: their highly accurate AI system, designed to flag critical medical findings, wasn't being effectively utilized by radiologists. Despite flawless algorithm performance, doctors were not engaging with the life-saving notifications. This deep dive into their discovery process reveals a universal truth for product managers: superior AI results are meaningless without an excellent user experience tailored to real-world contexts.
Sessions
9
