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Product Management News
Medium
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218
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The Journey of Saransh AI : From Problem to Solution
- Saransh AI is an intelligent tool designed to summarize content effectively and help users stay updated without information fatigue.
- It offers a dual summarization approach tailored to different needs, providing both quick, digestible takeaways and context-preserving rephrased summaries.
- The project involved tackling challenges in building a Flask-based web app, expanding features using AI-powered tools, refining and optimizing the application, and leveraging AI to accelerate development.
- The roadmap for Saransh AI includes further enhancements to make information more accessible, digestible, and actionable.
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Medium
3w
267
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How to create a habit-forming product?
- Habits are automatic actions based on past experiences that help conserve brain resources, making changing habits difficult.
- Businesses benefit from habit-forming products as they drive user engagement and loyalty.
- Nir Eyal's Hooked framework outlines a four-stage cycle for forming lasting habits starting with triggers.
- External triggers are clear calls to action like adverts, while internal triggers stem from emotional states.
- User actions are based on motivation, ability, and triggers, with reward variability playing a key role in user engagement.
- Investments in a product make it more valuable, leading to increased commitment and habit formation.
- Spotify's successful application of the Hooked model includes external triggers, internal triggers, simple actions, and variable rewards.
- Users invest time, effort, data, and money in Spotify, contributing to its success as a habit-forming product.
- Spotify's personalised experience, social elements, constant discovery, data utilization, and low barriers to action are key to habit formation.
- Ethically applying the Hooked model can lead to sustainable user habits and high retention rates, as seen in Spotify's case.
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16 Likes
Medium
3w
372
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How to Reactivate and Retain Customers for Your Product
- Customer retention is essential for sustainable growth.
- Using robust analytics helps understand user behavior and preferences.
- Craft personalized emails and use psychological triggers for reactivation.
- Ensure a robust support system to address user issues and improve retention.
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22 Likes
Medium
3w
78
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Book Review: Cracking the PM Career — A Tactical Guide to Succeeding as a Product Manager
- Clear Skill Frameworks Across PM LevelsThe book breaks down what’s expected at each stage of your career — from associate to director. It outlines how skills like execution, communication, and strategy evolve as you advance.
- Practical Advice on Soft SkillsWhether it’s building stakeholder alignment, handling tough feedback, or presenting to executives, the authors give clear, actionable advice that PMs can apply immediately.
- Real-World ScenariosThe book includes many examples and “day-in-the-life” case studies that help demystify ambiguous parts of the role. Topics like managing up, navigating team conflict, or leading without authority are examined.
- Career Development AdviceBeyond performance, the book gives advice about their growth possibilities. It covers mentoring, networking, the choice to become a people manager, and avoiding burnout.
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Medium
3w
429
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Building a Personal Portfolio in 30 Minutes (Using AI)
- Building a personal portfolio is essential to establish an online presence and personal brand.
- To quickly build a portfolio without coding, the author used AI-based 'vibe coding' and prompt engineering.
- The process involved setting up GitHub Pages, coding the website shell using AI, adding content, and connecting a custom domain.
- AI makes portfolio building easy, eliminating technical barriers and allowing individuals to showcase their work effectively.
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Inkbotdesign
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386
How to Conduct a UX Diary Study for User Behaviour
- A UX diary study is a valuable research method that allows participants to document their experiences and interactions with a product over a specific period, providing authentic insights into user behavior.
- Benefits of conducting UX diary studies include capturing natural behaviors, gaining in-depth insights, identifying pain points, fostering user-centric design, collecting longitudinal data, and encouraging user reflection.
- To conduct a successful UX diary study, it is essential to define research objectives, select diverse participants, determine study duration, choose suitable data collection methods, and provide clear instructions to participants.
- During the study, preparation of study materials, maintaining participant engagement, collecting and analyzing data, interpreting results, and deriving insights for UX improvement are critical steps.
- Best practices for successful UX diary studies include maintaining participant engagement, ensuring data accuracy and reliability, addressing challenges and limitations, and utilizing case studies and examples for real-world applications.
- The future implications of UX diary studies suggest automation, neurofeedback integration, predictive UX models, and ethical considerations as technology advances, emphasizing the importance of understanding user behavior at a deeper level.
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24 Likes
Medium
3w
219
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Unlocking the Power of AI for PRDs: A Step-by-Step Guide with ChatPRD
- ChatPRD is a tool that helps product managers and founders create product requirement documents (PRDs) and other documents by providing a simple prompt.
- Users can choose from multiple templates like PRD, API documentation, Competitive analysis, OKR, etc.
- ChatPRD generates a structured PRD based on the provided prompt, including goals, success metrics, user stories, functional requirements, user experience, technical considerations, milestones, and sequencing.
- The tool allows users to request changes or additions to the PRD structure, such as adding user personas or competitive analysis sections.
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13 Likes
Medium
3w
342
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Finding the Sweet Spot for AI-Assisted Creativity
- This article explores the use of systems designed to generate statistically likely outputs in creative pursuits that require divergent thinking.
- LLMs (Language Models) are fundamentally designed to converge toward likely outcomes rather than diverge toward rare ones.
- LLMs face challenges in divergent phases of product development, but excel in convergent phases, offering pattern recognition, consistency enforcement, and iterative improvement.
- Creativity is a dance between divergence and convergence, and the application of AI tools relies on skilled human guidance to establish goals and add value.
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20 Likes
Medium
3w
315
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APIs for Product Managers — The Basics You Need to Know
- APIs are like a store that provides ready-to-use tools for developers, saving time and effort in development.
- APIs work by one system making a request, the API performing the necessary work, and then returning the data.
- An example is a delivery app sending a request to a restaurant's system via an API to confirm food availability.
- APIs can experience failures, emphasizing the importance of backups and reliability for connected systems.
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18 Likes
Medium
3w
350
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3 Questions of a Software Product Pipeline
- The software product pipeline consists of three stages: WANTs, SHOULDs, and CANs.
- In the WANTs stage, ideas and feature requests are collected from various sources.
- In the SHOULDs stage, ideas are prioritized based on company goals and feasibility.
- In the CANs stage, engineering and design teams determine the technical feasibility of the selected ideas.
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21 Likes
Medium
3w
185
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Food for Agile Thought #486: Reshaping Teamwork, Product’s Code-first Future, Unintentional…
- Zvi Mowshowitz critiques Sam Altman's stance on AGI.
- Aakash Gupta and Tal Raviv demonstrate building an AI-powered product management copilot.
- McKinsey explores organizational restructuring for unlocking gen AI value.
- Matheus Lima argues that actual psychological safety thrives on respectful conflict.
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11 Likes
Medium
3w
108
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AI is Moving Fast, and Innovation Doesn’t Happen in 30-Minute Calendar Blocks
- AI is moving faster than your org chart.
- Most companies are still debating how to structure and strategize for AI, instead of creating the space to actually use it.
- Product and engineering teams need time for discovery and experimentation with new AI capabilities.
- AI strategy starts by creating the space and time for team members to think and innovate.
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6 Likes
Medium
3w
359
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Can AI Therapy make mental healthcare more accessible?
- Therapy is currently inaccessible to many due to long waiting lists, high costs, and limited availability.
- Generative AI, such as ChatGPT, is being used in mental health care to provide support to those who can't access traditional therapy.
- AI systems can offer guidance and support to individuals, such as Wysa's mental health AI, Woebot for cognitive behavioral therapy, and Reflectly for journaling.
- AI tools can assist human therapists by automating tasks, providing insights, and specializing in conditions, while therapists offer empathy and human connection.
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21 Likes
Medium
3w
312
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A year into product management — At least AI is not yet taking over
- Stepping into the role of product management comes with weightier responsibilities and broader impact.
- The main duties of a product manager revolve around bridging business goals, user needs, and technical execution.
- Prioritization, breaking down bigger projects, defining success metrics, understanding user needs, and staying competitive are key aspects of the role.
- While AI is becoming more prevalent, it still has a long way to go in carrying out the nuanced decision-making tasks required in product management, but can serve as a useful assistant for specific tasks.
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18 Likes
Medium
3w
421
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How we revamped the ASOS QA engineering competency
- Faced with restructuring and a new product operating model, ASOS revamped their QA engineering competency to align with the changing landscape.
- The legacy competency was based on three fundamental quality principles: test first, test automation first, and continuous quality.
- The revamp focused on incorporating the Product Operating Model (POM) principles of 'product' and outcomes into the competency framework.
- ASOS introduced changes in language, KPI identification, product risk management, and role distinctions to better reflect the POM.
- The QA Learning Programme (QALP) was aligned with the competency framework to support skills development and growth.
- New role levels were introduced in the QA engineering competency to reflect mastery of skills and ability to apply them effectively.
- The revamped competency matrix aims to empower QA engineers for growth, align with the POM, and remain adaptable for the future.
- ASOS emphasizes continuous improvement, striving to ensure that the QA engineering competency evolves in parallel with changing needs and standards.
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