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How to manage technical debt

  • Technical debt accumulates through rushed decisions, and it compounds with each quick fix and workaround becomes a huge hurdle for teams to navigate through.
  • Out of all the technical debt, some are critical blockers, some are growing concerns while some are nice-to-fixes and prioritizing them is essential.
  • Balancing technical debt by dedicating 20% of each sprint to system maintenance while keeping your main engine running at 80% power is ideal.
  • Transforming the technical debt issues from engineering problems into business narratives helps get insights on their impact on the company.
  • Bringing about an environment where quality isn’t preached but celebrated makes it easier for engineers to adapt the habit of code catering.
  • Establishing a long-term technical debt strategy through 'health monitors' and creating rituals to minimize it should be the key approach to consider.
  • Technical debt's management and reduction are not about perfection but rather about having strategic choices that keep your product agile and your team motivated.
  • Using the three-part approach of acknowledging technical debt's value, strategizing for it and creating a habit of managing the problem maximize growth.
  • Technical excellence isn’t about perfection, but it's about making progress and balancing speed with sustainability to maintain product agility.
  • Balancing growth and stability helps smart product teams maintain a high speed, keeping your future self ready for any game-changing feature requests.

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How to Beat the 70% Failure Rate of Business Initiatives in 2025

  • To beat the 70% failure rate of business initiatives in 2025, leaders need to conduct a thorough analysis.
  • Start by setting clear objectives for each initiative, such as reducing patient wait times or increasing digital adoption.
  • Compile a comprehensive list of all past and current initiatives to analyze and centralize your inventory.
  • Categorize each initiative as successful, partially successful, or failed, and conduct a root cause analysis for failures.

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Ship It or Scrap It? A Framework for Neutral Product Experiments

  • Product teams often face the dilemma of whether to ship or roll back experiments with neutral results.
  • A framework has been developed to help make this decision clear.
  • Three heuristics are used to determine whether to ship or roll back a neutral experiment.
  • Categorizing experiments upfront can guide the team's response to neutral results.

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Shopify: A Deep-Dive Analysis

  • Shopify is a leading e-commerce platform founded in 2006 by Tobias Lutke, Daniel Weinand, and Scott Lake.
  • It offers users tools to create, customize, and manage online stores across multiple sales channels.
  • Shopify's simplicity, scalability, and all-in-one nature make it popular among small and medium-sized enterprises (SMEs).
  • The platform has evolved to support large enterprises and align with the growing demand for e-commerce and online channel experiences.

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Why Spotify Wrapped Still Reigns Supreme in the World of Year-End Recaps

  • Spotify Wrapped continues to dominate the world of year-end recaps, despite competition from YouTube Music, Google Photos, and Apple Music Replay.
  • Spotify Wrapped is considered the gold standard due to its personalized and impactful nature.
  • YouTube Music Recap feels more like an update and lacks the personal touch that Spotify Wrapped offers.
  • Google Photos' recaps are nostalgic but lack the ability to connect users to a larger community like music does.

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Avoid the Product Graveyard: Build What People Crave

  • Google Glass, a virtual reality glasses product launched in 2013, failed due to lack of audience demand and no pain points it solved.
  • Apple introduced its own VR headset with a high price tag, facing a similar fate as Google Glass.
  • These products were developed because someone believed there was demand for them, but they didn't align with actual audience needs.
  • To avoid product failure, it is crucial to build products that address customer pain points and meet actual demand.

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My Journey into Product Management :

  • My journey into product management began in early 2023 after discovering my interest in the role.
  • Participating in a capstone project solidified my understanding of user research, problem-solving, and teamwork.
  • I aim to deepen my understanding of user research, master product roadmapping, and become a certified Scrum Master.
  • In the next 3-5 years, I envision myself as a seasoned product manager leading successful product launches.

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Surviving 2025 as a Product Manager — or Anyone in Tech

  • 2025 will be a big year for the tech world as AI and IoT will change how we manage products and take over many tech jobs.
  • Product managers will lead the way with new tech with Blockchain and IoT being key trends to stay on top of.
  • Skills like data analysis, UX design, strategic thinking, adaptability, and cross-functional collaboration are essential for product managers to develop today.
  • AI, data analysis, and cloud computing are important skills that tech workers will need to learn to keep up with the changes.
  • The real magic is in finding the right mix of human and AI skills to create amazing products in the fast-evolving industry landscape.
  • Continuous tech career planning and personal development are essential for success in the tech world of 2025 and beyond.
  • Online courses, getting professional certifications, and making learning a habit are vital for continuous skill development.
  • Knowing how to use analytics is key for career growth in tech, as it enables you to make smarter and sharper decisions.
  • Building a strong personal brand through digital marketing and networking will help you stand out in the crowded tech field.
  • Being adaptable, continuously learning, and focusing on skills development will define success in the constantly changing tech world.

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Product Case Study: A Data-Driven Strategy to Boost E-commerce Conversion and Engagement

  • Digikala.com is the largest e-commerce platform in the Middle East, with over 40 million active users and more than 80 million monthly visits.
  • PDP per session is the main driver of Total Conversion Rate (TCR) growth, and increasing it should be our primary focus.
  • To understand unmet needs and opportunities, Digikala segment users based on their discovery patterns.
  • A strategic decision was made to focus on creating Exploratory Discovery Paths to drive an increase in PDP per session.
  • We added multiple tabs to the homepage for exploratory discovery paths, encouraging users to browse and uncover hidden needs.
  • We identified 40 potential concepts and categories, which would be tested in phases, and in the first phase tested Fashion & Apparel, Gifts, Gaming, Mobile Accessories, Electronics, and Travel tabs.
  • The introduction of these tabs led to measurable improvements in PDP per session, boosting the Total Conversion Rate and encouraging users to visit the platform more frequently.
  • The achievement was possible due to the commitment and collaboration of each member of the team.

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The Dynamics of Procurement Changes

  • Procurement management requires careful strategy, timing, and budgeting.
  • Changes in procurement contracts or strategies necessitate adjustments to key project baselines.
  • The procurement management plan, schedule baseline, and cost baseline may need updating.
  • The quality management plan remains resistant to change in this dynamic landscape.

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10 Proven Strategies to Boost Your Productivity

  • Setting clear, achievable goals is the foundation of productivity. Break your goals into manageable tasks and use the SMART criteria (Specific, Measurable, Achievable, Relevant, Time-bound) to guide your planning.
  • Establishing a daily routine can significantly enhance your productivity. A consistent schedule helps you form habits that pave the way for success. Consider starting your day with the most challenging tasks when your energy levels are high. This approach can reduce procrastination and increase efficiency.
  • The Eisenhower Matrix helps you prioritize tasks based on urgency and importance. Categorize your tasks into four quadrants. This method ensures that you focus on what truly matters.
  • Utilize productivity tools and apps to streamline your workflow. Tools like Trello, Asana, or Todoist can help you organize tasks and collaborate with others. Explore apps that track your time and habits to identify areas for improvement.

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How First Principles Can Change Your Design Thinking

  • First principle thinking is essentially about breaking problems down to their most basic truths and building solutions from the ground up.
  • Instead of asking, “What’s the industry standard for this?” you ask, “What is undeniably true, and why does this problem exist in the first place?”
  • Using First principles thinking in UX and product design, helps to cut through the noise, innovate and avoid redesigning for the sake of it.
  • By focusing on the core problem, a flights website managed to implement two options to edit passenger names, which included a self-serve flow and a guidance prompt.
  • To apply First principles thinking in work, ask why, repeatedly, challenge every assumption and dig deeper until you uncover the root cause of the problem.
  • Once you’ve identified the problem, strip it back to its essentials.
  • Now that you understand the core problem, build a solution tailored to your users, not a “best practice” from another product.
  • First principles thinking doesn’t guarantee a perfect solution on the first try.
  • Prototype your idea, test it with users, and refine based on their feedback.
  • When you question assumptions and focus on the basics, you avoid wasting time and resources on overly complex solutions.

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Model Development and Training Phase of a Machine Learning Project

  • The Model Development and Training Phase is the core engine of any Machine Learning project.
  • It involves selecting, building, training, and optimizing the model to ensure desired accuracy and efficiency benchmarks.
  • Key considerations during this phase include experiment tracking, model validation, testing, and performance evaluation.
  • The next critical step in the ML project lifecycle is the Deployment and Monitoring Phase.

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In this blog post, we will introduce the design thinking method and examine how it can be applied…

  • Design thinking is a user-centered and innovative approach to solving complex problems.
  • The stages of design thinking include empathy, define, ideate, prototype, test, and implement.
  • Empathy involves understanding user needs through interviews, surveys, and observations.
  • Ideation and prototyping help generate and test creative solutions.

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Redefining the Singapore Home-Buying Experience with PropertyGo: A Peer-to-Peer Revolution

  • PropertyGo is a peer-to-peer platform aiming to simplify the home-buying process in Singapore.
  • It addresses key pain points such as high agent fees, fragmented process, and limited digital solutions.
  • The platform enables sellers to sell their properties digitally with integrated OTP handling.
  • PropertyGo's backend is built with Node.js and React Native for a responsive mobile experience.

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