The hottest Product Management Substack posts right now

And their main takeaways
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Top Business Topics

Intentionally Building Your Product Stack

Nadia’s Substack • 19 implied HN points • 06 May 24
🕹 Technology Product Management Software Development AI Project management Team Collaboration
  1. When setting up your technology stack, choose tools that best serve both your product and team.
  2. As AI becomes more prevalent in software development, product managers and founders need to adapt their product stacks.
  3. Regularly update and tailor your product stack based on your team's needs, growth, and the evolving technology landscape.

Choosing the right UX metrics - Part 2

UX Psychology • 158 implied HN points • 03 Oct 22
🕹 Technology UX Design Metrics Product Management User Experience Data Analysis
  1. Identifying clear goals is crucial in choosing the right UX metrics, involving team and stakeholders can help define meaningful and actionable metrics.
  2. Mapping goals to signals helps track progress towards goals; gathering user feedback and reviews can be essential signals to measure UX success.
  3. Refining signals into specific metrics is the final step, where data scientists can assist in ensuring metrics are measured accurately; focus on key metrics and avoid adding unnecessary data.

E5 - Roles and Responsibilities of an AI Product Manager

The Product Channel By Sid Saladi • 6 implied HN points • 08 Dec 24
🕹 Technology Artificial Intelligence Product Management Data science Tech industry User Experience
  1. AI product managers play a key role in creating and managing AI-powered products. They need to combine technical knowledge with an understanding of user needs.
  2. Their responsibilities include researching AI applications, creating product strategies, and leading development teams. They ensure that products are both viable in the market and valuable to users.
  3. To succeed, AI product managers should have skills in AI, business, and user experience. A mix of education in tech, business, and design helps prepare them for this role.
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3 Actionable Tactics To Create A Good Data Strategy

Three Data Point Thursday • 39 implied HN points • 01 Feb 24
💼 Business Data Strategy Product Management
  1. Netflix transformed into a data company by focusing on leverage and transitions in their value chain.
  2. To create a good data strategy, consider mapping out your value chain, playing Perfect World scenarios, and performing pipeline analysis.
  3. Use data and algorithms to increase the bottleneck in your value pipelines for impactful data strategies.

E4 - Discover the AI PM Universe: The Many Faces of AI Product Managers 🤖

The Product Channel By Sid Saladi • 6 implied HN points • 01 Dec 24
🕹 Technology AI Product Management Machine Learning Innovation Career development
  1. There are various types of AI Product Managers, each focusing on different aspects like infrastructure, rankings, and generative AI. Knowing these roles helps in understanding how AI products come to life.
  2. Key skills for AI Product Managers include understanding AI technologies, collaborating with data teams, and having strong analytical abilities. These skills ensure they can successfully manage projects and innovate.
  3. The career path in AI Product Management is evolving quickly. Staying updated on AI advancements and continuously learning is essential for success in this field.

How to optimize your free trial

Kyle Poyar’s Growth Unhinged • 236 implied HN points • 10 May 23
💼 Business Marketing User Experience Product Management Conversion Onboarding
  1. Collaborate with experts to conduct a thorough audit of your product-led growth strategy.
  2. Implement best practices at each stage of the free trial experience such as creating a compelling sign-up page and a goal-oriented onboarding checklist.
  3. Utilize personalized templates, value-add empty states, and contextual guidance to enhance user experience and increase conversion rates.

Shreyas Doshi on Product Thinking

Practical Product Discovery • 58 implied HN points • 23 Mar 23
💼 Business Product Management Product Development Strategic Thinking User Experience Innovation
  1. Product thinking involves understanding motivations and conceiving solutions based on effects you want to create.
  2. Avoid relying solely on project thinking, which focuses on plans and resources rather than user needs and creativity.
  3. To learn product thinking, prioritize real goals over deliverables, understand user needs, generate options, simulate outcomes, and study examples in the wild.

E7 - 🚀🤖✨Transform Your Business with Next-Gen RAG Digital Assistants

The Product Channel By Sid Saladi • 3 implied HN points • 22 Dec 24
🕹 Technology AI Large Language Models Conversational AI Product Management
  1. Next-Gen RAG Digital Assistants use external information to improve AI responses. This helps businesses get more accurate and relevant answers.
  2. Building your own RAG-powered assistant gives you control over data and customization, making it better suited for your specific needs.
  3. RAG assistants can boost productivity in companies by providing quick access to information and enhancing customer engagement through accurate support.

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.

Google deepens AI integration across operations

philsiarri • 22 implied HN points • 31 Oct 24
🕹 Technology Artificial Intelligence Cloud Computing Software Development Product Management Digital marketing
  1. Google is using a lot of AI in its work, with over a quarter of new code created by AI and checked by engineers. This shows how much they're relying on technology to improve their services.
  2. The company's earnings are strong, with significant revenue from both Google Services and Google Cloud. AI features are helping to boost sales and attract new customers.
  3. Google's new AI tools are changing how people search online and are driving more ad revenue on platforms like YouTube, which is now making over $50 billion from ads and subscriptions.

Why we archived a 5k+ Stars GitHub Open Source project

The Open Source Expert • 3 HN points • 21 Jul 24
🕹 Technology Open Source Software Development Community Management Product Management SaaS
  1. Sometimes, despite a lot of hard work and support, a project just doesn't succeed as hoped. It's important to recognize when to let go.
  2. Managing a community project and running a business can be very different. The needs of the community may not always align with business goals.
  3. Feeling overwhelmed by notifications and contributions can lead to burnout. It's key to balance community engagement with personal well-being.

Contra product management shibboleths

Logos • 19 implied HN points • 23 Feb 24
💼 Business Product Management Corporate Structure Career development Financial Management
  1. Being too focused on data and customer research can limit creativity. It's important to use good judgment to come up with ideas and then use data to check if those ideas make sense.
  2. The rise of Chief Product Officers may not mean there's new work being done. Sometimes it's just a title change or a marketing strategy to make companies seem more innovative.
  3. Job titles do matter because they often come with recognition and better pay. People want their efforts acknowledged, and titles can help convey that value.

Why Product Data Beats Company Data

The Security Industry • 18 implied HN points • 24 Nov 24
🕹 Technology Data Analysis Cybersecurity Product Management Market research Competitor Analysis
  1. Product data is more useful than company data. Knowing what products a company offers helps you find competitors better.
  2. You can categorize products accurately to see how they stack up against each other. This way, you can identify direct competition more effectively.
  3. Having detailed product information helps customers find the right solutions for their needs. You can easily search by features or requirements.

The AI Trap

Fish Food for Thought • 14 implied HN points • 18 Dec 24
💼 Business Technology Adoption Product Management Customer Needs Market Trends
  1. Businesses often rush to use new technologies without understanding if they actually solve customer problems. This can lead to wasted resources and missed opportunities.
  2. The cycle of excitement followed by disappointment with new tech is common. Companies should be aware of this pattern and avoid adopting technologies just because they're popular.
  3. To make the most of new technologies, teams should work together, focusing on real customer needs before jumping in. Collaboration and clear communication are crucial.

Introducing AI Loves Pasta, a cool AI generated content creation project

An Innovator's Sketchbook • 39 implied HN points • 13 May 23
🕹 Technology AI Content creation Product Management Artificial Intelligence Tools
  1. AI Loves Pasta is a project exploring AI generated content creation in the area of cooking and gastronomy.
  2. The project aims to use ChatGPT for recipe creation, social media distribution, and potential monetization.
  3. The creator plans to publish an ebook in 20 weeks, build an Instagram presence, and track progress through regular updates.

Premortem Of My Career Direction: Lessons From Poker And ‘Thinking In Bets’

Harmony • 19 implied HN points • 07 Feb 24
💼 Business Consulting Coaching Product Management Writing Job search
  1. Premortem involves imagining project failure and analyzing potential reasons for it.
  2. Analyzing career directions like consulting, coaching, and product management can help in setting robust goals.
  3. Considering possible reasons for failure in different workstreams can aid in planning and making improvements.

From Rockets to Roadmaps: An Engineer's Guide to Product Success

Dev Interrupted • 14 implied HN points • 03 Dec 24
🕹 Technology Software Development Engineering Culture AI Applications Product Management Team Dynamics
  1. Engineers can drive product vision, leading to faster and more innovative development. This shifts the focus from just coding to solving real business problems.
  2. With AI making coding easier, engineers who understand customer needs and market trends will stand out. Their blend of technical skills and business savvy is crucial for success.
  3. Collaboration and teamwork are key in software development. It's not just about individual contributions but how teams work together to create better solutions.

Using The Fermi Problem Approach in Estimating New Product Impact

CAUSL Effect • 59 implied HN points • 08 Jun 23
💼 Business Product Management Market Strategy Investment decisions
  1. The Fermi problem approach helps estimate the impact of new product features by breaking it into smaller questions. This method allows for better understanding and clearer predictions.
  2. Using rough estimates based on educated guesses provides range estimates instead of precise answers, which can help account for uncertainty in projections.
  3. Continuous refinement of estimates with new data allows for adjustments, creating more credible and strategic insights for product management decisions.

You Should Learn How to Code

Jake [Building in NYC] • 19 implied HN points • 01 Feb 24
🕹 Technology Programming Software Engineering AI Web Development Product Management
  1. Learning to code is easier than ever with powerful tools and a supportive community. Many resources and frameworks are available to help beginners quickly set up projects.
  2. Becoming a product engineer lets you create and deploy software rapidly, using existing APIs and tools to add functionality. You can build applications that connect to various services without starting from scratch.
  3. Software engineering offers good salaries and a growing job market. There are many opportunities for those who are willing to work, both in traditional roles and through self-employment options.

Designers who PM

Anant’s Newsletter • 6 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.

Maximizing Product Management Efficiency with ChatGPT and Generative AI

An Innovator's Sketchbook • 19 implied HN points • 28 Jan 24
🕹 Technology AI Product Management Generative AI Automation Data Analysis
  1. Leverage AI to boost personal productivity in product management through planning, execution, and user feedback analysis.
  2. Use large language models (LLMs) in product strategy for idea generation, evaluation, and decision-making.
  3. Optimize day-to-day efficiency by using AI to break down goals into manageable tasks and plan daily schedules.

Introducing CodeYam: The Software Simulator

CodeYam’s Substack • 5 HN points • 04 Jun 24
🕹 Technology Software Simulation AI Development Product Management
  1. CodeYam is a software simulator that automatically isolates every feature of your software and creates simulated data to help visualize how code changes will impact the product and users.
  2. The simulator generates interactive demos that allow developers to test code changes effectively, share progress with stakeholders, and help new team members understand the application and code faster.
  3. As AI becomes more involved in coding, the human team members will need to define, validate, and improve the product created by AI, making high-quality tools like CodeYam essential for effective communication and understanding of the software being built.

Insights from the Research Community: Plans for 2024 and Strategies for Implementation

Askwhy: UX Research, Product Management, Design & Careers • 33 implied HN points • 27 Feb 24
💼 Business Research Implementation Planning Strategy Product Management
  1. Avoid unnecessary research by understanding when it's not appropriate, like for problem-solving issues instead of validation.
  2. Prevent overcommitting by scoping projects well, building in time buffers, and looking at historical data to manage workload effectively.
  3. Enhance visibility for your UX research work by selecting the right method for your audience, sharing updates in product meetings, and knowing your stakeholders.

TWH#50: Simple Explanations For Complex Phenomena

The Hagakure • 119 implied HN points • 16 Mar 23
💼 Business Product Management Software Engineering Agile Methodology Organizational Behavior
  1. Our brains seek simple explanations for complex phenomena due to our evolutionary history.
  2. Predictability and control in knowledge work are often illusory, leading to eroded trust and inefficiencies.
  3. Embracing uncertainty and complexity in work requires shifting mindset towards experimentation and adaptation.

Scrum's "Product Owner" Problem

Rethinking Software • 14 HN points • 03 Oct 24
🕹 Technology Software Development Agile Methodology Product Management Engineering Practices Team Dynamics
  1. Product Owners should provide information, not direct decisions. Engineers need real-time data to make informed choices, rather than just waiting for orders.
  2. Engineering teams should ask deeper questions to understand their customers and competitors better. This helps them create better solutions instead of just following a checklist.
  3. The relationship between Product Owners and Engineers should resemble a restaurant. Product Owners gather customer insights while Engineers create the dishes, allowing for better quality and innovation.

5 Steps to Take Back Power in Your Career

Perspectives • 8 implied HN points • 12 Dec 24
💼 Business Career development Entrepreneurship Personal Branding Networking Product Management
  1. Don't wait for the perfect job. Instead, focus on making the most of the position you have and use it to build skills and connections.
  2. Follow your interests and share what you learn. You don’t have to be an expert to teach others; sharing your journey can resonate more with people.
  3. Be consistent in showing up and sharing your thoughts. Building your personal brand is about being true to yourself and expressing your values regularly.

Non-technical API Design Should Be Possible

The API Changelog • 9 implied HN points • 15 Nov 24
🕹 Technology API design Product Management User Experience Technical Writing
  1. API design doesn't have to be technical. Non-technical people can focus on understanding what users need and planning the API without coding.
  2. Involving non-technical individuals early in API design can help identify user challenges and improve API functionality, making them more aligned with user needs.
  3. With the right tools, like Flotiq, non-technical people can create and test APIs easily, allowing for immediate feedback before handing off to developers for more complex tasks.

Solve the right problem

Sunday Letters • 99 implied HN points • 27 Mar 22
🕹 Technology Software Development Engineering User Experience System Design Product Management
  1. It's important to solve the right problem. If you don't understand the problem clearly, you might end up overcomplicating things.
  2. Sometimes, less is more. Simplifying designs can make your code easier to manage and improve user experience.
  3. Don't try to fix every possible edge case; focus on the most common scenarios. This can help you avoid unnecessary complexity.

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.