The hottest Product Management Substack posts right now

And their main takeaways
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TBM 358: The Genius of SVPG

The Beautiful Mess • 1190 implied HN points • 16 May 25
💼 Business Change Management Leadership Organizational development Product Management Corporate strategy
  1. The SVPG approach to change is effective because it gives leaders a way to improve their product practices without losing face. It helps them take action while feeling confident in their leadership.
  2. For change agents within a company, who you are and how you say things really matters. Sometimes, your message might not be heard because of who you are, so timing and framing are important.
  3. Making big changes in an organization is tough and messy. Real change often requires removing hidden barriers and understanding that success doesn't just come from having a good plan; it's about navigating complex situations.

TBM 359: Process Person

The Beautiful Mess • 727 implied HN points • 23 May 25
💼 Business Product Management Team Dynamics Organizational Behavior Leadership
  1. Bad processes often come from a lack of experience or understanding. It's important to be flexible and learn from feedback to improve them.
  2. Not every process works for everyone. What's easy for one team can be too much for another, so finding a balance is key.
  3. Leadership sometimes asks for complicated processes without thinking about what's really needed. It's better to focus on making things simpler and more effective.

Is Better Brand Shutting Down-Company Was Once Valued at $170M?

Snaxshot • 359 implied HN points • 06 Oct 24
💼 Business Startups Finance Product Management Consumer Goods E-commerce
  1. Better Brand, once valued at $170 million, is facing allegations of being a scam as their product quality has declined significantly after raising money.
  2. Many customers cannot find Better Brand products in stores, and some have not received their orders, leading to frustrations and reports to consumer agencies.
  3. Key employees have left the company, and the founder is rumored to be hiding in Europe as the situation escalates.

How novelty effects and Dopamine Culture rule the tech industry

@andrewchen • 3215 implied HN points • 06 May 24
🕹 Technology Innovation Product Management Tech industry AI Mobile Apps
  1. Offline experiences take more intent and time, while online experiences are convenient but ephemeral.
  2. Tech products need to provide value quickly to retain users in a dopamine-driven culture.
  3. The culture of product management in tech is geared towards constant incremental progress to meet short-term goals.

#102 AI Concepts Building Tomorrow's Billion-Dollar Companies

The Product Channel By Sid Saladi • 20 implied HN points • 23 Feb 25
🕹 Technology AI Product Management Innovation Ethics Development
  1. AI agents are becoming co-creators in product development, changing how teams work together and make decisions.
  2. Specialized AI models tailored to specific tasks are more valuable than general-purpose ones, as seen in successful companies focusing on niche markets.
  3. Product managers need to adapt to AI's rapid pace by embracing new ethical considerations, efficient designs, and continuous learning to drive innovation.
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10 Situations Where Scrum Is a Burden For Developers

Ageling on Agile • 79 implied HN points • 10 Oct 24
🕹 Technology Software Development Agile Methodology Project management Team Collaboration Product Management
  1. Scrum is not always the best fit for software teams. It works well in complex environments but can become a hassle if the situation is straightforward.
  2. When teams don't need to work together, like in the case of maintenance or support tasks, Scrum can feel unnecessary and unhelpful.
  3. If there’s no proper interaction with stakeholders or a culture of learning, the Scrum framework can hinder progress instead of helping it.

Meaningmaking at work.

The Uncertainty Mindset (soon to become tbd) • 259 implied HN points • 21 Aug 24
🕹 Technology AI Development Product Management Human-Machine Interaction Software Design
  1. AI tools often fail because they can't understand the deeper meaning behind our decisions. They confuse what humans can intuitively interpret.
  2. Meaningmaking is crucial in many business processes. Humans make subjective decisions all the time that machines simply can't replicate.
  3. To create better AI products, we need to separate meaningmaking tasks from other work. This helps us design tools that support human decision-making instead of trying to replace it.

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.

Cultivate a Privacy-First Mindset

Building Rome(s) • 3 implied HN points • 17 Feb 25
🕹 Technology Data Privacy AI Ethics Product Management Software Development
  1. Privacy is super important for AI products, and Technical Program Managers (TPMs) play a key role in keeping user data safe and building trust.
  2. TPMs should involve legal and privacy teams early in the project to make sure privacy is part of the design, not an afterthought.
  3. It's essential to prioritize privacy throughout the development process, treating any privacy issues as top priorities and integrating privacy checks at every stage.

TBM 339: Update and Clarifications

The Beautiful Mess • 978 implied HN points • 09 Feb 25
💼 Business Startups Entrepreneurship Investment Product Management Work Culture
  1. This newsletter is independent of the author's employer, Dotwork, and he writes what he chooses without being paid for it.
  2. Dotwork is a startup that creates tools for product strategy and development, allowing teams to customize their work tools to fit their needs.
  3. The author enjoys sharing what he learns each week and believes in giving valuable content for free, trusting that good things will come back in the future.

Designers who PM

Anant’s Newsletter • 4 implied HN points • 18 Feb 25
💼 Business Product Management Design Engineering Team Dynamics Startup Strategy
  1. Hiring a designer who can also manage products can save engineering teams time and resources. They help avoid building the wrong features right from the start.
  2. A designer with product management skills can make design decisions quickly. This keeps projects moving forward and prevents delays in the engineering process.
  3. Having a designer who understands both design and product management helps create a more cohesive product. They can connect different parts of the product and ensure everything aligns properly.

How to get to Product Market Fit: what it is, step by step guide and success cases like Notion, Canva and Stripe

The VC Corner • 659 implied HN points • 04 May 24
💼 Business Startups Venture Capital Product Management Market research Entrepreneurship
  1. Product Market Fit (PMF) means having a product that people really want or need. It's not just about making the product; you also have to learn how to sell it well.
  2. To achieve PMF, start by identifying a specific problem people face and create a strong solution. It’s important that the problem is significant enough for people to want to pay to solve it.
  3. Successful startups often follow a process to reach PMF, which includes finding a niche, validating pricing, and continuously improving the product based on customer feedback.

#101 - How AI Is Supercharging the Demand for Product Managers

The Product Channel By Sid Saladi • 23 implied HN points • 09 Feb 25
💼 Business Product Management AI Impact Software Development Market Trends
  1. AI is changing how software is developed, making coding faster and easier. This shift requires more skilled product managers who can focus on what to build rather than just how to build it.
  2. Product managers are becoming key players as products get more complicated. They need to manage different technologies and ensure that everything works well together to meet user needs.
  3. As AI tools handle more routine tasks, product managers will have a bigger role in driving innovation and defining new products, ensuring that technology advancements translate into meaningful solutions.

I Was Wrong About Scrum, Again

Rethinking Software • 549 implied HN points • 30 Nov 24
🕹 Technology Software Development Agile Methodology Project management Team Dynamics Product Management
  1. Sprints can feel non-stop and stressful since they don't have breaks, which can lead to burnout. It's suggested that a 'sustainable pace' would help, but taking real breaks might be a simpler solution.
  2. Daily stand-ups can make team members feel pressured to justify their work constantly. However, the intent behind them is not for status updates but to facilitate communication and support.
  3. The role of a Product Owner in Scrum can leave developers feeling sidelined. Developers may worry that their insights are overlooked, but it’s believed that good Product Owners will always prioritize the development team's needs.

💻 Zoom

First 1000 • 1513 implied HN points • 13 Jul 23
🕹 Technology UX UI Product Management
  1. In UX design, smart defaults can be very powerful.
  2. Sometimes, a design that looks slick and communicates well may not perform as well as another in tests.
  3. Don't underestimate the impact of smart defaults in design choices.

TBM 320: From Fluffy Concepts to Concrete Outcomes & Behaviors

The Beautiful Mess • 555 implied HN points • 10 Nov 24
💼 Business Product Management Team Dynamics Behavior Change Organizational Culture Decision-making
  1. It's important to translate vague concepts into specific behaviors. Instead of saying you want to be 'data-driven,' describe actual actions that show you are doing this.
  2. Discussing behaviors as a team can spark valuable conversations and help everyone understand what needs to change. It allows people to share experiences and ideas in a meaningful way.
  3. When trying to improve team actions, focus on what gets in the way—like training gaps or social pressures. Identifying these barriers helps create better strategies for change.

🌟 Your Ultimate AI Guide for Product Managers: 10-Part Series + FREE PDF & Bonus Resources! 🚀

The Product Channel By Sid Saladi • 23 implied HN points • 26 Jan 25
🕹 Technology AI Product Management Innovation Ethics Digital Tools
  1. AI is becoming really important for product managers. It's changing how people design and manage products.
  2. Learning about AI tools like large language models can help product managers work more efficiently. They can use these tools to improve their workflows.
  3. Ethics in AI is crucial. Product managers need to think about the responsible use of AI in their projects to ensure they are creating fair and useful products.

Wrath of the AI-Zilla

SAURABH SAHA • 11 implied HN points • 04 Feb 25
🕹 Technology AI Machine Learning Automation Product Management Economic Impacts
  1. Many people feel confused and scared about AI, especially since its rapid growth began in 2022. Some workers worry their jobs might become obsolete due to new technologies.
  2. Only a small percentage of people truly understand AI and how to build its applications. Most people just use AI tools without knowing how they work under the hood.
  3. As AI continues to advance, it could create a divide between those who know how to work with it and those who don't, leading to fewer job opportunities for many and greater wealth for a select few.

🧱 How to Build toward Outcome Based Pricing

Good Better Best • 3 implied HN points • 07 Feb 25
💼 Business Pricing Strategy SaaS Product Management Market Trends Customer Experience
  1. Companies are shifting from seat-based pricing to outcome-based pricing. This means they want to offer more value for what customers pay, instead of just charging per user.
  2. Add-ons and features can help users get more done without changing the whole pricing structure. This lets companies gradually move towards pricing based on results rather than just how many seats a customer has.
  3. Having complex pricing models can be beneficial. They allow businesses to charge different amounts to different customers based on what they need, capturing more value and catering to various market segments.

[Launch] I wrote a book on Growth Marketing

Channels of Growth • 687 implied HN points • 19 Jan 24
💼 Business Marketing Startups Entrepreneurship Product Management Sales
  1. The book 'Channels of Growth' focuses on a Growth Marketing Framework for dominating channels and building better products.
  2. All users come from channels when it comes to growth, emphasizing the importance of understanding and optimizing these channels.
  3. The book aims to provide a personal Growth Marketing framework based on lessons from over $100M+ spent on growing products.

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.

TBM 328: Beyond Firmographic-Based ICPs

The Beautiful Mess • 264 implied HN points • 18 Dec 24
💼 Business Startup Product Management Marketing Operations Customer success
  1. Traditional ways of identifying ideal customers, like just looking at company size or industry, aren't enough anymore. It's important to understand the specific needs and behaviors of different companies.
  2. When starting a new job, it's crucial to listen and learn from others instead of jumping to conclusions. Take your time to understand what actually matters for the product and the customers.
  3. Different organizations have unique ways of working, and it's vital to grasp those differences. Observing and talking to customers helps create better products that cater to their specific challenges and goals.

Forming Habits To Improve Retention

Growth Croissant • 707 implied HN points • 08 Jun 23
💼 Business Retention Product Management Health & Wellness Engagement User Experience
  1. Encouraging healthy habits through features like competitions, goal setting, and streaks can improve user retention.
  2. Popular apps like Strava and Headspace use habit-forming features such as challenges and streaks to retain users.
  3. Habit-forming features must be deeply ingrained in the product to have a meaningful impact on user experience and retention.

Tech gamble

Alex Ewerlöf Notes • 353 implied HN points • 25 Jan 24
🕹 Technology Software Development Tech Debt Engineers Product Management
  1. Tech gamble is about paying the price of hypothetical future tech debt upfront without proper data or insight, leading to waste and friction for the product.
  2. Symptoms of tech gamble include complex technical solutions for simple problems, big bang improvement projects cancelled mid-execution, and rewriting systems without clear pragmatic checkpoints.
  3. Tech debt is reactive, while tech gamble is proactive, with tech debt giving engineers a bad conscience and tech gamble representing naive ambition or malice.

Claire Vo: The CPO who automates herself with AI

CommandBlogue • 19 implied HN points • 19 Aug 24
🕹 Technology Artificial Intelligence Product Management Startups Software Development Tech Trends
  1. AI is changing how product managers work. It helps them complete tasks much faster, which could mean fewer PMs are needed in the future.
  2. The role of PMs might shift more towards being makers, meaning they will need to have skills in design and engineering to stay relevant.
  3. To break into product management, it's important to show what you can do by building something real for the companies you're interested in, rather than just sending a resume.

📝 Guest Post: How to Build the Right Team for Generative AI*

TheSequence • 994 implied HN points • 19 Jan 24
🕹 Technology AI Engineering Product Management Tooling
  1. You may not need ML engineers for Generative AI projects due to the availability of pre-trained models like GPT-4.
  2. Prompt engineering, the clear articulation of needs in natural language, is a crucial skill for AI application development.
  3. Product managers and domain experts play a significant role in shaping AI products through prompt engineering, reducing the need for technical experts.

TBM 278: The Power of Firsthand Experience

The Beautiful Mess • 793 implied HN points • 17 Mar 24
💼 Business Product Management Team Dynamics Customer Insights Product Development Decision-making
  1. Having firsthand experience is crucial in understanding product concepts, like observing failed launches or successful market fit.
  2. Seeing a team hit dead ends before succeeding can encourage more leeway for experimentation and resilience.
  3. Direct access to customers, effective team dynamics, and confronting false assumptions can greatly impact decision-making and product success.

E9 - Ethical Considerations and Responsible AI in Product Management

The Product Channel By Sid Saladi • 16 implied HN points • 12 Jan 25
🕹 Technology AI Ethics Product Management Innovation Data Privacy
  1. Responsible AI means making sure technology is fair and safe for everyone. It's important to think about how AI decisions can affect people's lives.
  2. There are risks in AI like bias, lack of transparency, and privacy issues. These problems can lead to unfair treatment or violation of rights.
  3. Product managers play a key role in promoting responsible AI practices. They need to educate their teams, evaluate impacts, and advocate for accountability to ensure AI benefits everyone.

Why we like coffee more than Duolingo - P.1

Gentle Nudge • 99 implied HN points • 17 May 24
🕹 Technology Product Management User Behavior Habits Digital Products Motivation
  1. Behavior depends on three factors: motivation, ability, and prompts.
  2. Product loops play a crucial role in user engagement and retention, involving triggers, actions, variable rewards, and investments.
  3. Consider additional variables like schedule, existing routines, sequences, and organic frequency when designing product loops for sustainable user engagement.