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Dev

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Merchant of Record: The Complete Guide for SaaS Founders

  • Merchant of Record (MoR) is the legal entity selling your SaaS product/services, handling payment collection, tax compliance, fraud management, etc.
  • Options for MoR include being the seller yourself or using platforms like Paddle or Lemon Squeezy.
  • Choosing to be the MoR (e.g., with Stripe) gives control but requires managing tax compliance, disputes, and legal risks.
  • Platforms like Paddle handle invoicing, tax compliance, and legal responsibilities, simplifying operations for SaaS founders.
  • Pros of using MoR platforms include global tax compliance, simplified legal operations, and improved customer trust through compliant invoicing.
  • Cons include higher fees, limited checkout control, and difficulty scaling complex SaaS models.
  • Using MoR platforms reduces the burden of handling taxes, financial reporting, and legal compliance for international sales.
  • Considerations when choosing MoR include global tax compliance, billing control, complexity of pricing models, and customer preferences.
  • Switching MoR providers later can be challenging, highlighting the importance of making an informed decision from the start.
  • Choosing the right MoR approach is crucial for successful international growth and operational efficiency for SaaS businesses.

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Medium

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The Future of FemTech Is Mythic, Emotional — and Extremely Data-Rich

  • Stardust is a cycle tracking app that combines menstrual data with astrology, gaining popularity for its emotional storytelling layer.
  • The app does not focus on accurate predictions but on providing perception and explanation, giving users a way to make sense of chaos.
  • Stardust is designed to resonate with users seeking meaning in data, creating an emotionally attuned experience for self-reflection and understanding.
  • While excelling in providing an emotional and narrative experience, Stardust may face challenges in user growth due to its focus on emotional rituals over utility tasks.

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Medium

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The Secret to a Winning Partnership Between Product Designers and Product Managers (and How It…

  • Building a successful partnership between Product Designers and Product Managers requires mutual understanding and trust.
  • Effective collaboration starts with viewing the PM as a partner, engaging in professional dialogue, and involving them in the design process.
  • Product Designers bring unique value through understanding business goals, connecting work to real impact, and leading goal-setting sessions with PMs and stakeholders.
  • The success of a Product Designer is measured by the real-world impact their design creates, aligning with the business goals shared with PMs for cohesive teamwork and shared responsibility.

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Medium

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Decoding User Behavior: How Product Analytics Tools Drive Better Product Decisions

  • Product analytics tools provide direct insights into user behavior, eliminating guesswork and enabling data-driven decisions.
  • These tools help in identifying product friction, prioritizing features, and improving user experience by monitoring critical metrics like activation rate and churn rate.
  • Product Siddha specializes in implementing tailored product analytics systems to align with business goals, enabling better decision-making and smarter growth strategies.
  • By simplifying complex data into actionable intelligence, Product Siddha empowers teams to understand user needs, resolve issues, and build products that users love to use.

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Medium

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Meta Bets on AI to Automate Its Product Safety Checks

  • Meta's decision to automate up to 90% of its product risk assessments using AI marks a significant shift in how leading tech firms handle product safety.
  • The move raises crucial concerns for product managers, emphasizing the importance of balancing innovation speed with regulatory compliance and user protection.
  • Previously, Meta conducted manual privacy reviews for all product updates, but the new AI system will expedite the process by providing instant risk assessments based on team questionnaires.
  • This transformation reflects the evolving landscape of risk management and the increasing integration of AI technology in ensuring product safety and regulatory adherence.

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Medium

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We eat our own dog food at Chirp. It works!

  • Dogfooding, or eating your own dog food, refers to the practice of companies using their own products or services internally before or after releasing them to customers.
  • At Chirp AI, agents use an internal web portal that provides insights, analytics, and call statistics in near-real-time, including full call transcriptions and summaries immediately after the call ends.
  • Chirp AI employees utilize this dashboard to review call performance metrics, fine-tune conversational performance, and enhance response speed, demonstrating confidence in their product and understanding of customer feedback.
  • By dogfooding their own product, Chirp AI identifies issues, enhances features, and evolves the product alongside genuine customer pain points and feedback, allowing for a better understanding and empathizing with customer needs.

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UX Design

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The new mandate: design leadership in an AI-native world

  • Design leadership in an AI-native world requires a shift from waiting to proactively shaping the system's intelligence, behavior, and interactions.
  • In an AI-first world, design leaders must move away from reactive modes and start defining system behaviors and setting ethical boundaries.
  • AI-native products operate through interaction, learning from behavior, and personalizing experiences, changing the role of design leaders significantly.
  • Design teams need to evolve from focusing on execution to driving the direction of product development, shaping systems, coherence, and impact.
  • The future of design leadership involves creating intuitive, adaptive interfaces and leading conversations by shaping product narratives and behaviors.
  • Design leaders are urged to lead from the future, translating shifts in behavior and technology into bold experiences and strategic decisions.
  • Design leadership in an AI-native world is about driving vision, coherence, and outcomes, without waiting for permission or perfect conditions.
  • It emphasizes the importance of not waiting for alignment but instead creating clarity, coherence, and real impact through strategic design decisions.
  • Design leaders are called to be strategic co-authors of products, shaping how teams think, roadmaps form, and intelligence behaves to accelerate outcomes.
  • The mandate is clear: lead from the middle, from the front, from the future, but above all, don't wait for permission or ideal circumstances to drive design leadership forward.

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Medium

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Tips On Tech Skills Without Coding — 2025

  • Product Management Skills involve planning, communicating, and organizing product growth in an organization.
  • UI/UX Design entails designing user experiences for websites or mobile apps, including skills like user research and prototyping.
  • Content Writing is a skill that focuses on engaging audiences digitally through creative writing like blog posts and video scripts.
  • Digital Marketing is a strategy skill for promoting products or brands in the digital space to create awareness and value for customers.

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Medium

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Something’s Broken in Product — and It’s Not the Tech

  • In the tech world, non-technical aspects like communication are often neglected, impacting the progress and success of a product.
  • Communication breakdowns can lead to cluttered backlogs, testing errors, and unstable team dynamics.
  • By improving communication through workshops, idea collaboration, and investment exercises, teams can transform and enhance productivity.
  • Ultimately, clear communication, trust, and collaboration can lead to a more motivated and efficient team with improved product quality and delivery speed.

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Medium

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What My First Case Study Taught Me About Thinking Like a Product Manager

  • Case study experience taught the writer more about thinking as a product manager.
  • The focus shifted from just adding features to understanding the needs and struggles of users.
  • Slowing down and asking important questions, similar to a real PM, brought a significant shift in perspective.
  • The writer gained confidence in growing into product management through practical experience rather than just planning.

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Medium

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How product managers can make or break a collaborative team culture

  • Setting sprint goals based on task completion can hinder team collaboration.
  • Focusing on outcomes for users and the business can shift the team dynamics towards a shared purpose.
  • Proposing sprint goals based on user or business outcomes can enhance teamwork and collaboration.
  • Product managers can influence team collaboration by shaping sprints around meaningful outcomes rather than just tasks.

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Medium

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From Idea to MVP: How Webob is Building the Future of SaaS for Early-Stage Founders

  • Webob, based in Africa, assists founders worldwide in quickly progressing from idea to MVP by emphasizing transparency and collaboration.
  • The agency's lean mindset, evident in its DNA, was showcased when they accepted their first project offer of $4,600, setting the tone for their operational approach.
  • Webob has not only helped launch and refine SaaS products for various founders but also aided them in securing seed funding and establishing customer traction.
  • Despite challenges like prioritizing user feedback and managing client demand, Webob's strategy focuses on building fast, smart, and letting the market influence their next steps for success.

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Medium

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Aspect-Sentiment Analysis for Scalable User Research

  • Aspect-Based Sentiment Analysis (ABSA) is a method used for generating sentiment scores over product features in context, allowing for insight generation over large datasets.
  • It helps in identifying user sentiment towards specific product features, such as Search UI or Filters, enabling rapid understanding for Product teams and founders.
  • The article discusses leveraging modern NLP methods and user data to extract valuable insights for Product teams, using G2 reviews as a data source.
  • By structuring reviews from G2 using APIFY Actor, the article demonstrates extracting and organizing review data efficiently.
  • A custom spaCy-based function is used for extracting product-relevant aspects from user reviews, filtering out irrelevant or generic phrases.
  • The Aspect Extraction process involves a grammatical approach with SpaCy, followed by an LLM call to evaluate the relevance of aspects for targeted user research.
  • A pre-trained transformer model is utilized for aspect-based sentiment analysis, providing structured sentiment data at scale.
  • Heatmaps are used to visualize the distribution of sentiment across product aspects, aiding in identifying trends in user feedback quickly.
  • Further pre-processing and analysis techniques can be employed to enhance the quality of aspects generated and provide more detailed insights.
  • The article showcases a methodological approach to conducting scalable user research through aspect-sentiment analysis, offering valuable outcomes for enhancing product understanding.
  • Overall, the article emphasizes the importance of leveraging ABSA and NLP techniques for extracting actionable insights from user reviews for informed decision-making.

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Medium

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Struggling with Roadmaps? Let AI Make It Easier

  • AI tools for Product Managers can assist in organizing chaos by pulling in data from various sources and identifying important patterns.
  • These tools can facilitate faster decision-making by simulating different roadmap scenarios, highlighting dependencies, and predicting potential delays.
  • AI-powered platforms can also aid in clearer communication by automatically generating summaries, visuals, and updates for stakeholders to quickly understand the roadmap.
  • Some recommended AI tools for Product Managers include Airtable with AI, Productboard, Canny + GPT integrations, and Notion AI to streamline various tasks in roadmap management.

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Medium

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Prompting for Product Thinkers.

  • Generative AI serves as a reflection tool that mirrors the quality of one's thinking.
  • Poor prompts in AI can lead to subpar output, emphasizing the importance of clear problem definition.
  • Product management involves understanding people, their needs, and making clear decisions, with AI serving as a tool rather than a solution.
  • It is suggested to react to AI responses like you would to criticism, allowing for new angles and saving time in the decision-making process.

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