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I Built a Product Before I Found the Market

  • The individual had created a product without having a clear path to market or distribution.
  • The product, Keepsafe Critters, was designed to make a child's first lock experience enjoyable.
  • The focus was on creativity and design rather than addressing core questions related to profitability and target audience.
  • This experience taught the individual the importance of go-to-market clarity and redefined their approach to product development.

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Why I hate Design Thinking

  • Design Thinking, despite its emphasis on empathy, iteration, and collaboration, is critiqued for oversimplifying design into a process that overlooks the challenging aspects of design work.
  • Professional designers often view Design Thinking as a diluted version of their field that marginalizes their skills and expertise.
  • While Design Thinking can facilitate stakeholder engagement and idea generation, it falls short in delivering tangible solutions, focusing more on mindset shifts than concrete results.
  • The approach is criticized for neglecting critical components of design such as research, technical feasibility, and implementation, thereby leading to lower-quality outcomes.
  • Design Thinking is highlighted for its heavy emphasis on ideation at the expense of execution, leaving the actual implementation to others or disregarding it entirely.
  • Experienced designers stress that design is not merely about generating ideas but about crafting real solutions through problem framing, responsibility, solution shaping, and actualization.
  • Design Thinking workshops often create a sense of momentum and enthusiasm but may result in shallow solutions that lack the depth required for successful implementation.
  • The disconnect between design thinking workshops and actual design practice can lead to watered-down solutions that fail to address technical feasibility, policy constraints, and operational realities.
  • Design Thinking's simplistic portrayal as a quick fix to complex problems in enterprise settings can hinder the development of true design capability and maturity within organizations.
  • The critique underscores the need for a shift from Design Thinking to 'design doing,' emphasizing the importance of genuine design practice over superficial methodologies for innovation.
  • The author calls for a focus on the hard work of research, design, and delivery rather than relying solely on frameworks like Design Thinking for achieving real outcomes in design.

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Top 5 Mistakes Startups Make When Building Their First MVP

  • Start with a simple version of your product to confirm market fit before adding extra features.
  • Use strategies like videos, landing pages, or prototypes to test demand before investing heavily in development.
  • Choose scalable technologies and frameworks for initial development to avoid costly rewrites as your user base grows.
  • Iterate based on user feedback to improve user experience and increase conversion rates.

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Hyperlocal UX in India’s Quick Commerce Apps

  • Hyperlocal UX focuses on designing app experiences for rapid, localized services.
  • Core UX factors include accurate ETAs, simple product discovery, streamlined checkout, transparent tracking, personalized experiences, and engaging microcopy.
  • Apps like Zepto and Instamart prioritize minimalistic UI and efficient checkout processes to enhance user convenience.
  • Blinkit and Instamart excel in real-time tracking, while using friendly language establishes stronger emotional connections with users.

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Struggling with DSA as a bio student? Here is your perfect guide:

  • Key prerequisites for learning Data Structures and Algorithms (DSA) as a biology student include understanding variables, data types, conditional statements, loops, functions, arrays, basic error handling, etc.
  • Starting with Python is recommended for beginners due to its simple syntax and beginner-friendly nature. You can begin with basics like printing patterns, calculating factorial, checking prime numbers, and reversing strings or numbers.
  • Beginner resources to start programming include FreeCodeCamp Python Tutorial on YouTube, W3Schools Python, and CS50 by Harvard on edX, which is excellent for beginners even from non-CS backgrounds.
  • Once comfortable with programming, you can progress to learning DSA topics like arrays, strings, linked lists, stacks, queues, recursion, trees, graphs, and searching/sorting algorithms through platforms like GeeksforGeeks, LeetCode, and CodeStudio by Coding Ninjas.
  • The final tip emphasizes that coming from a biology background does not limit one's ability to learn coding or DSA. Success in this field is achievable with a step-by-step approach, consistency, and regular practice.

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Pull vs. Push in Modern Product Integrations

  • Product Manager reflects on the challenges of using APIs and web-hooks in modern product integrations.
  • Facing delays and inefficiencies with API for custom report generation, the manager found webhooks to be more efficient.
  • Webhooks provide real-time notifications and streamline processes, reducing wastage of resources like CPU cycles and developer hours.
  • Event-driven architecture emphasizes the importance of robust error handling and idempotency keys for handling asynchronous data flow.

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PRODUCTHEAD: Moulded to fit in

  • Vocal self-confidence is valued in leaders amidst uncertainty, but there is a need for space for quieter contemplative leadership styles.
  • The UK Civil Service's Future Leaders Scheme molds individuals into homogeneous leaders, hindering diversity of thought and creativity.
  • Existing leadership systems often perpetuate monoculture, making it challenging for new leaders with different perspectives to emerge.
  • Individuals have choices in response to feeling out of place at work, including adapting, changing the system, or seeking a more aligned organization.

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First to market Vs First to fit — which has the more advantage?

  • Being first to market doesn't guarantee success, as execution, timing, and user experience play a crucial role in determining the winner.
  • Apple's iPod, although not the first digital music player, reimagined the user experience, leading to a significant impact on the music industry.
  • The key lies in finding the balance between launching early to test core value, learning faster than competitors, and iterating smarter, not just faster.
  • Success in products is about being the first to solve a meaningful problem, rather than just being the first to launch.

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ThinkFirst

  • Market White Space identified for tools focusing on training thinking, not just execution.
  • ThinkFirst targets freelancers, side-hustlers, self-starters, and aspiring thought leaders for mental clarity and structure.
  • ThinkFirst aims to turn thinking into a habit through frictionless, gamified mental workouts.
  • Key features of ThinkFirst include fast, gamified training, AI as a mentor, and helping track cognitive growth.

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Building Furthur: Notes from an AI-Native Frontier

  • Furthur is a platform that aims to turn prompt insights into shared infrastructure, creating a dynamic ecosystem of insight through a social graph.
  • Using a new development stack that responds to natural language commands, Furthur enables the user to describe intent and have a functional prototype emerge.
  • The platform positions AI not just as a copilot but as a collaborator, bridging the gap between the user's intent and the actual implementation.
  • Furthur accelerates cognitive processes, allowing for faster product development and enabling users to remix prompts across models, pushing the boundaries of language use.

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Our path to implement a product approach to data (1/5)

  • Doctolib made a reorganization in the data team last year by creating a new team of Product Managers for Data to shift towards a product-approach rather than a project-approach.
  • Doctolib, a European tech company, serves health professionals with software solutions and patients for easier healthcare access. They operate at scale with 2,900 employees serving 80 Million patients and 400,000 health professionals.
  • Challenges faced by the data team included the need for efficient access to data, integration of machine learning platforms, and implementing a product approach within the Data teams for more ROI and scalability.
  • In late 2023, Doctolib's Data organization underwent bold changes by breaking up data analyst teams, reassigning roles, and introducing Data Product teams to interact with Data and ML Platform teams for improved efficiency and impact.

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From Overseas Grad to Batik Business Manager in Central Java’s Capital: Bridging Innovation and…

  • Transitioning from an advisory role to a managerial position at Putri Batik Indonesia in Semarang, the manager aimed to apply contemporary management principles in a traditional craft industry.
  • Initially focusing on observation and understanding of the business's traditions and dynamics, the manager learned that change required collaboration and consensus.
  • Leading a digital transformation, the manager revamped PBI's marketing approach by emphasizing brand identity, product narratives, and emotional connections on social media platforms like Instagram and TikTok.
  • The digitalization efforts resulted in increased online exposure and organic sales growth, despite initial challenges in shifting the team's mindset towards digital content creation.
  • Balancing diverse stakeholder interests, including production quality, sustainable growth, and market demands, required the manager to navigate various operational complexities and responsibilities.
  • Lessons learned encompassed the importance of effective human resource management, transformative cultural heritage practices, and learning-based leadership for sustainable business growth.
  • The manager believes that creative businesses like Putri Batik Indonesia have significant growth potential and can serve as inspiring models in Indonesia's creative industry sector.
  • Encouraging young professionals to explore unconventional career paths, the manager emphasizes the value of dynamic learning experiences in shaping one's career journey.
  • Ultimately, the article highlights the importance of embracing change, fostering teamwork, and adapting cultural heritage to propel traditional industries towards sustainable growth and innovation.

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AI Insights Series #4: Using AI To Create User Personas

  • User personas are essential in product management for understanding user needs and guiding prioritization.
  • Building accurate user personas traditionally involves time-consuming tasks like analyzing interviews, support tickets, product logs, surveys, and social media reviews.
  • AI tools can accelerate persona-building by identifying themes, clustering motivations, and analyzing user behavior patterns from various data sources.
  • AI can help teams uncover clear user motivations from interviews, user challenges from support tickets, behavior-based personas from product usage data, sentiment patterns from surveys, and emotion-rich insights from social media interactions.

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Too Many Tools, Not Enough Time? Simplify Your Workflow with One Platform

  • Teams often struggle with using multiple apps for project management, communication, time tracking, and other tasks, leading to decreased efficiency.
  • OnTeams.ai is an all-in-one workflow platform that offers project management, time tracking, team collaboration, and progress analysis in a single dashboard.
  • Key features of OnTeams.ai include live session tracking, recorded work sessions, and detailed time analytics to enhance transparency and productivity.
  • This unified platform is recommended for teams looking to streamline their processes, improve efficiency, and gain better insights into their work.

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How AI Is Reshaping the Role of Product Managers

  • Understanding data is crucial in AI Product Management, even if coding is not required.
  • Framing problems effectively is essential, requiring PMs to define goals, success metrics, and acceptable trade-offs in AI projects.
  • PMs are now responsible for considerations of explainability, ethics, and biases in AI products, going beyond just shipping features.
  • Continuous experimentation is key in AI Product Management, necessitating ongoing testing, learning, and iteration post-launch.

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