The hottest Product Management Substack posts right now

And their main takeaways
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Top Business Topics

150+ Product Management Resources and 50+ ChatGPT Prompts: Your Complete 2025 PM Toolkit 🚀

The Product Channel By Sid Saladi • 16 implied HN points • 01 Jan 25
💼 Business Product Management AI Tools Resources Strategy Leadership
  1. There are over 150 useful resources for product management that can help professionals navigate topics like strategy, leadership, and AI integration.
  2. The toolkit includes more than 50 ChatGPT prompts designed to enhance productivity and creativity for product managers.
  3. New tools like ProductGPT can help product managers get customized answers and streamline their workflow, making their jobs easier.

Breaking analysis paralysis: a guide to using data in product management

Askwhy: UX Research, Product Management, Design & Careers • 33 implied HN points • 27 Nov 24
💼 Business Product Management Data Analysis User Research Market Strategy Customer Insights
  1. Always start with a clear hypothesis when analyzing data. This helps focus your research and prevents getting lost in too much information.
  2. Use a mix of qualitative and quantitative data for a better understanding. This means looking at both numbers and user feedback to get the full picture.
  3. Document your analysis process carefully. This helps others understand your findings and allows for better collaboration in the future.

Product Delivery Guide

Untrapping Product Teams • 334 implied HN points • 19 Jul 23
💼 Business Product Management Value Creation Team Collaboration
  1. Product delivery is about creating value steadily, not just following a plan.
  2. Key aspects of product delivery include organizing the product backlog, refining tasks, aligning goals, and delivering value consistently.
  3. Be mindful of common traps like treating the product backlog as a wishlist, separating discovery from delivery, and focusing only on output instead of outcomes.
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The 9 Fundamental Ingredients to Thrive with Product Management

Untrapping Product Teams • 157 implied HN points • 07 Feb 24
💼 Business Product Management Ingredients Vision Strategy Learning
  1. Product management is like cooking: it's not just about the recipe, but also about how you do it and the ingredients you use.
  2. Recognize the fundamental ingredients for thriving in product management, such as product vision, strategy, goals, and testing assumptions.
  3. Having a strong product vision is crucial for inspiring and motivating teams to progress in the right direction.

Why sprints are taking the joy out of building software

Leading Developers • 147 implied HN points • 29 Oct 24
🕹 Technology Software Development Agile Methodology Product Management Team Dynamics Engineering Practices
  1. Sprints can make software development feel rushed and stressful. Teams often end up prioritizing completing tasks over enjoying the process of creating.
  2. Agile isn't just about following the sprint process; it's more about flexibility and responding to change. Focusing too much on the sprint leads to sticking to the rules instead of adapting to needs.
  3. Instead of traditional sprints, teams might benefit from cycles where they take their time, release when ready, and allow some room for creativity and quality work. This can create a more enjoyable work environment.

Why product analytics is completely different than BI

timo's substack • 294 implied HN points • 28 Feb 23
🕹 Technology Data Analytics Product Management Business Intelligence Data Collection Data Modeling
  1. Marketing analytics, BI, and product analytics have different requirements for source data and data handling.
  2. Product analytics involves more exploration and pattern-finding compared to marketing analytics and BI.
  3. Adopting product analytics requires a different approach, mindset, and tool compared to traditional analytics setups.

Notes on Service Level Objectives

A Small, Good Thing • 19 implied HN points • 24 Mar 25
🕹 Technology Software Engineering Product Management Organizational Culture
  1. Service Level Objectives (SLOs) are important for understanding if services are reliable, but many organizations find them hard to use effectively. It's like a tool that sounds great but often doesn't work as well in practice.
  2. Adopting and managing SLOs usually requires a lot of effort and support from the whole team, not just the SREs. If the company culture isn't ready for it, SLOs often get ignored.
  3. There's a big gap between the theory of SLOs and how they're applied in real companies. Many teams struggle with choosing the right metrics and getting everyone to care about reliability over new features.

Weekly Notes

Rethinking Software • 149 implied HN points • 23 Sep 24
🕹 Technology Software Development Agile Methodology Product Management Team Dynamics Data Analysis
  1. Story points are basically just hidden time estimates for tasks in software development. Understanding this can help with better planning and predicting when a project will be finished.
  2. Product management should be like a party host, making sure developers and customers communicate and enjoy their time together. This creates a better experience for everyone involved.
  3. There are ways for companies to run without traditional management, like the tomato processor Morning Star. This might be a model to explore for improving the software industry's workflow.

E10 - Future Trends: Gen AI and the Next Generation of Products

The Product Channel By Sid Saladi • 6 implied HN points • 16 Jan 25
🕹 Technology AI Product Management Innovation Automation Data Analysis
  1. Generative AI is reshaping industries by creating new opportunities and enhancing product development. It's not just a technology; it can change the way we work and create.
  2. Real-world examples, like DeepMind's AlphaFold, show how generative AI can lead to breakthroughs in fields like healthcare, making processes faster and more efficient.
  3. Product managers should harness generative AI to create better user experiences. By integrating this technology, they can offer more personalized and engaging products.

Notes on Product management theater | Marty Cagan (Lenny's Podcast)

The Beautiful Mess • 330 implied HN points • 17 Mar 24
💼 Business Product Management Career development Tech Companies Leadership
  1. Common principles and practices among top product companies exist but may not fully capture the uniqueness and nuances of each company's success.
  2. During challenging times like the pandemic, companies may overhire, lower hiring standards, and create unnecessary roles instead of addressing core issues.
  3. Companies globally should strive to evolve product development methods based on customer needs, regardless of their location, and individuals should take more control over their product management career.

How to be the favorite engineer among your product manager and designer

High Growth Engineer • 465 implied HN points • 27 Aug 23
💼 Business Career development Product Management Engineering
  1. Collaboration with product managers and designers can be challenging due to differing priorities and project impacts.
  2. Engineers often face the dilemma of balancing what they can do, what the PM wants, and what the PM thinks they can do.
  3. Maintaining a good relationship and meeting deadlines are key aspects of being a favored engineer among product managers and designers.

Embarking on the Product Management Journey: Product Research and Discovery

Product Power by Samet Ozkale • 196 implied HN points • 19 Oct 23
💼 Business Product Management Research Innovation Development Framework
  1. Product managers can find ideas through user interviews, trend analysis, personal experiences, and input from internal stakeholders.
  2. Criteria for pursuing an idea include satisfying a need, having a unique selling point, being profitable and in demand, and creating value.
  3. Utilizing the Double Diamond framework can guide product discovery and development by focusing on understanding problems before jumping into solutions.

E3 - 🛠️ Prompt Engineering Basics and 50+ Free 🎁 Product Management Prompts 🚀

The Product Channel By Sid Saladi • 20 implied HN points • 24 Nov 24
🕹 Technology AI Tools Product Management Software Development Prompt engineering Data Analysis
  1. Prompt engineering is about crafting the right questions to get useful responses from AI. Think of it like asking the AI to help you with specific tasks in a clear way.
  2. This skill can help product managers speed up their work by automating tasks and generating creative ideas. It's a powerful tool for making better decisions based on data.
  3. Understanding how to structure prompts effectively can lead to more relevant and accurate results. It involves giving clear instructions, context, and examples to guide the AI.

Navigating the Shift from Feature to Product Teams and Building a Product Mindset

An Innovator's Sketchbook • 98 implied HN points • 04 Feb 24
💼 Business Product Management Feedback Team Dynamics Leadership Organizational Culture
  1. Transitioning from feature to product teams involves empowering cross-functional teams focused on outcomes and value.
  2. The localization industry is evolving with AI, leading to job destruction but also creating new business opportunities.
  3. Feedback is important for team growth, and using the 'Situation-Behavior-Impact' framework can lead to effective and powerful feedback.

What Agentforce says about the State of Agents

Good Better Best • 2 implied HN points • 23 May 25
💼 Business Pricing Strategy SaaS AI Market Trends Product Management
  1. Salesforce is changing its pricing model to be more flexible, allowing customers to pay based on the specific actions their AI tools perform. This means businesses can better align costs with what they actually use.
  2. The development of hybrid pricing models shows that the market for AI is still growing and evolving. Companies are exploring new ways to find a balance between human workers and AI.
  3. A strong pricing infrastructure is crucial for companies. Those that can adapt their pricing strategies easily will have an advantage as the landscape of AI and enterprise software continues to shift.

From Customer Success Leader to VP of Product

Suzan's Fieldnotes • 98 implied HN points • 15 Jan 24
💼 Business Career development Leadership Product Management Startups Entrepreneurship
  1. María de Antón transitioned from Head of Customer Success to Product Manager by following her instincts and overcoming imposter syndrome.
  2. Transitioning from customer success to product management involved a shift from talking with customers to creating joyful product experiences.
  3. As a leader considering switching functions, trust your cross-functional skills, seek necessary training, and have confidence in yourself.

E6 - 🏰 Building a Moat for Your AI Startup 🏰

The Product Channel By Sid Saladi • 10 implied HN points • 15 Dec 24
💼 Business Startups Entrepreneurship AI Strategy Product Management Competitive Analysis
  1. Building a competitive 'moat' is crucial for AI startups to protect themselves from competitors. It means having unique advantages that others can't easily copy.
  2. Startups should focus on specific industries or problems to create tailored solutions. This helps them collect valuable data and improve their models over time.
  3. Using proprietary data and building complex systems can strengthen a startup's position. It’s about going beyond just using popular AI tools and making something unique.

E2- Basics of Large Language Models for Product Managers 🤖

The Product Channel By Sid Saladi • 16 implied HN points • 17 Nov 24
🕹 Technology AI Product Management Innovation Natural Language Processing Data science
  1. Large language models (LLMs) are special AI systems that understand and generate human language. They can do things like summarize texts, translate languages, and even write codes.
  2. LLMs are changing many industries by powering chatbots, helping create content, and giving personalized product recommendations. This makes services smarter and more helpful.
  3. Building custom LLMs requires a lot of money and data. Companies must invest millions and gather vast amounts of information to develop effective models.

Forget Job-to-be-Done theory. Concentrate on Goals and their hierarchy.

An Innovator's Sketchbook • 78 implied HN points • 21 Jan 24
💼 Business Innovation Product Management Health Venture Funding
  1. Focus on understanding consumer goals and their hierarchy for successful product development.
  2. Differentiate between needs, goals, and ToDos as part of the goal hierarchy.
  3. Recognize the importance of designing products or services that effectively remove obstacles or facilitate faster achievement of consumer goals.

Get Your Positioning Right

Build To Scale • 138 implied HN points • 31 Aug 23
💼 Business Startups Product Management Marketing Positioning Differentiation
  1. Positioning your product correctly is crucial from the start, you can't retroactively adjust it like changing a boat into a car.
  2. Identify your target market, the problem your product solves, and what makes you better than competitors.
  3. Use a simple positioning template to describe your product's key attributes clearly and guide your marketing efforts.

E1- Introduction to General AI for Product Managers 🤖

The Product Channel By Sid Saladi • 16 implied HN points • 10 Nov 24
🕹 Technology AI Product Management Data science Machine Learning Software Development
  1. AI is changing how products are made and used. Product managers need to understand AI to stay ahead in their industry.
  2. There are many AI applications, like chatbots and recommendation systems, that can improve user experience. Learning about these tools can help product managers create better products.
  3. While AI has benefits, it also brings risks like bias and job losses. It's important for product managers to think about these issues and apply AI responsibly.

Leverage Points for solving complex problems

Turnaround • 277 implied HN points • 01 Aug 22
💼 Business Management Systems Thinking Complexity Theory Problem Solving Product Management
  1. Complex problems require moving away from linear thinking and embracing complexity thinking that involves understanding interconnections and dependencies.
  2. Leverage points in a system are areas where small changes can cause significant overall impact. These include adjusting parameters, dealing with stock buffers, considering system structures, managing feedback loops, controlling information flows, setting incentives and rules, enabling self-organization, and aligning with system goals and paradigms.
  3. Differentiating between complicated and complex systems is crucial in problem-solving. In complex interconnected systems, problem statements often fall into categories such as coupled, causal, or standalone.

8 guaranteed ways to annoy your senior engineer

The Caring Techie Newsletter • 21 implied HN points • 12 Feb 25
🕹 Technology Engineering Software Product Management Team Dynamics Workplace culture
  1. Always provide details when asking engineers to fix something. It saves everyone time if you describe what’s wrong and what you've tried.
  2. Avoid labeling everything as urgent. This makes it hard for engineers to prioritize and can lead to burnout.
  3. Be clear and prepared for meetings. Vague invites waste time and make it hard for engineers to focus on their work.

Software Quality

Engineering Enablement • 21 implied HN points • 12 Feb 25
🕹 Technology Software Development Engineering Practices Product Management Developer Productivity Quality Assurance
  1. Software quality has four main types: process quality, code quality, system quality, and product quality. Each type affects the others, so improving one can help improve the rest.
  2. Process quality is crucial because a good development process leads to better code quality. This means having proper testing and code reviews can help avoid defects later on.
  3. Product quality is what customers experience and it includes a product's usability and reliability. Engineers need to team up with product managers to ensure that products meet customer needs.

The Symphony of Strategic Roadmapping: A Personal Perspective on Product Prioritization

Product Power by Samet Ozkale • 78 implied HN points • 21 Dec 23
💼 Business Product Management Prioritization Strategy Communication Resource Allocation
  1. Product roadmapping is like conducting a symphony with prioritization setting the rhythm.
  2. Key elements of a product roadmap include vision, strategy, roadmap, prioritization, and backlog.
  3. Balancing stakeholder needs in roadmapping, aligning short-term goals with long-term vision, and agile adaptation are crucial for successful product development.

Breach simulation is a complicated market

Frankly Speaking • 50 implied HN points • 01 Nov 24
🕹 Technology Cybersecurity Software Development Product Management Market Analysis User Experience
  1. The breach simulation market is confusing because companies market their products in different ways. It's hard to understand exactly what these tools are supposed to solve for security teams.
  2. Turning security services into products is challenging. Many customers prefer high-quality services rather than automated tools because they believe they catch more sophisticated attacks.
  3. For these simulation tools to succeed, they need to show clear benefits to businesses, like saving money or preventing incidents. Right now, many organizations view them as nice-to-have rather than essential.

Data will not tell you what to do

Inside Data by Mikkel Dengsøe • 184 HN points • 21 Feb 24
💼 Business Decision-making Problem Solving Innovation Product Management Efficiency
  1. Data may not reveal the best ideas, so trust your intuition and explore beyond the obvious data points.
  2. Focus on solving the big problems first, as they have a more significant impact than smaller issues.
  3. Think in small bets and iterations to make progress in the right direction, even if data may not provide immediate clarity.

Research -> Reality. AI Engineers.

potentialmind • 19 implied HN points • 18 May 24
🕹 Technology Machine Learning Data Engineering Software Engineering Product Management
  1. The demand for AI Engineers is skyrocketing due to advancements in AI, making it a high-demand engineering job of the decade.
  2. To excel in AI Engineering, practical knowledge and hands-on experience are prioritized over traditional academic qualifications like PhDs or specific courses like PyTorch.
  3. Modern applied AI is changing the landscape, making it easier for software engineers and product managers to leverage large language models and AI frameworks without extensive data collection.

New Generation Product Leader Model

Product Power by Samet Ozkale • 98 implied HN points • 16 Feb 23
💼 Business Product Management Data-driven Agile Collaboration
  1. Product leaders should focus on data-driven and customer-centric approach in product development.
  2. Understanding the user through research and user feedback is crucial for making informed decisions and solving real problems.
  3. Cross-functional collaboration and transparent accountability are essential for fostering innovation and delivering results in product management.

🌟 Your Ultimate AI Guide for Product Managers: 10-Part Series

The Product Channel By Sid Saladi • 16 implied HN points • 20 Oct 24
💼 Business Product Management AI Integration Tech Trends Business strategy Ethics
  1. This guide introduces essential AI concepts useful for product managers. Understanding AI can help managers make better product decisions.
  2. It covers the basics of using large language models, which are important tools in AI. Learning to use these models can improve product development.
  3. The guide emphasizes the role of ethics in AI product management. Responsible use of AI is crucial for building trust and ensuring success.