Gagan Mahajan’s Post

Critical thinking empowers product managers to analyze complex problems, assess various solutions, and make informed decisions. This skill involves evaluating data, identifying patterns, and considering the implications of different approaches. Product managers who cultivate critical thinking can anticipate challenges, devise effective strategies, and prioritize tasks that align with product goals. By fostering a critical thinking mindset within their teams, product managers encourage innovative solutions and drive continuous improvement. 🧠🔍 #CriticalThinking #ProblemSolving #ContinuousImprovement

Dear product managers😎 Did you know that Hard skills are the building blocks that drive innovation, strategy, and success?💡 From data analysis to technical proficiency, product managers master a diverse set of skills to shape the products of tomorrow.🚀 #jupitaacademy #productmanagement #hardskills #innovationjourney #productcareer #productmanager #techacademy #linkedincontent #breakintotech #productmanagementtips #careerdevelopment #professionaldevelopment #linkedincommunity

Product Management Misconception #102: Good Product Managers Are Purely Data-Driven. Look, I love data as much as the next PM (and yes, I'll happily whip up a chart or two at any meeting), but here’s the thing: we aren’t robots! Great product management isn’t just about worshiping at the altar of numbers. Sometimes, it's about interpreting that slightly bizarre customer feedback, trusting our instincts, or picturing what our users really need, even if the data hasn't yet caught on. So yes, data guides us, but empathy, intuition, and a little imagination are also in the toolkit. If only we could quantify gut feelings, am I right? #ProductManagement #DataVsIntuition #PMMyths #UserEmpathy #TrustYourGut

A Product Managers biggest threat is their own bias. The solution: 💥 Spend more time listening to people than talking 💥 Spend more time looking for data that says you're wrong than you're right 💥 Spend more time thinking about the problem and desired outcome than the solution 💥 Spend more time speaking about the problems you need to solve than the features you need to build Yes, Product Management is hard, so don't make it harder by letting your bias get in the way. What would you add, discuss in the comments.

As product managers, our ability to make informed and timely decisions is critical to the success of our products and teams. I recently came across an insightful article by Brian Armstrong on how decision-making is approached and it offers valuable lessons that can be applied across various industries. Here are some key takeaways: - Clarity and Ownership: The need to distinguish between "deciders" and "advisors" to ensure that the right people are making the final call while incorporating input from relevant stakeholders. This clarity helps in avoiding confusion and streamlining the decision process. - Data-Driven Approach: Decisions are heavily backed by data. As product managers, leveraging data analytics tools and methodologies can help us make more objective and impactful decisions. - Speed vs. Accuracy: The balance between making fast decisions and making the right decisions. While speed is important, ensuring that decisions are well-informed and considering the long-term impact is crucial. - Iterative Process: Decision-making is iterative. Not all decisions will be perfect initially, therefore we should be open to revisiting and refining decisions as new information becomes available. - Feedback Loop: Incorporating feedback from users and team members is a vital part of the decision-making process. https://lnkd.in/d2pWnx8a #leadership #productmanagement #decisionmaking #data

"Not everything that can be counted counts, not everything that counts can be counted." One of the most amazing lines (by Albert Einstein) that I have come across lately. We, as PMs, need to realize the importance of this. Sometimes, we get too obsessed about data that we lose the bigger picture and end up spending time on areas that may not even matter. Next time, whenever you ask your engineering or data team to do a tracking for you, simply ask: [1] Does this matter? [2] How will I use this data? [3] What insights will I get from this? [4] Do I really need to know this on a regular basis? [5] What actions will I be able to take from those insights? These things will make you a better thinker and help you in prioritizing tasks as well. If you like this, follow Vishal Bagla for more. I am also creating a community of like-minded Product Managers and Aspiring Product Managers on Telegram. If you wish to join, and contribute and learn, link is in the first comment. #ProductManagers #ProductManagement #DataAnalytics #TeamCollaboration

I moved from data engineering to product management exactly three years ago, and wow, what a ride it's been! Between shipping products, doing user research, publishing release notes just for kicks and finally realizing what the hell is product sense, I've learned a ton 💫 So while I have found my calling in product , I felt ✨ compelled ✨ to share comprehensive guide on how to fail spectacularly as a PM. This is based on some exactly true, some almost true, and some tru-ish real-life experiences from my journey as an engineer turned product manager. Enjoy the read, and try not to fail too hard and even if you do know you are not alone and we all are learning one feature at a time! 🌺 #productmanagement #failguide #data

Product Manager Problems Which No One Admits 😨 When the dev team tells you the feature will take 3 months, but you promised going live to stakeholders in 3 weeks 😑 When you realize you've been using the wrong customer feedback data for weeks 😠 When you have to explain to your non-tech friend what you do, and you end up sounding like a robot "I'm a product manager... pauses... I make sure the product is good... pauses again... and" close with stuff like that 🤕 And... when your relative asks you what do you do, and trying to answer their counter questions. What PM problem do you face frequently? Share your problems in the comments below! Follow Chaitanya Athukuri to not miss any insights on Product Management & Business casestudies. #ProductManagement #PMConfessions #ProductDevelopment #techhumor

🌟 Thrilled to share a highlight from my journey with the Product Space! 🌟 I recently tackled an exciting guesstimation assignment that truly put my problem-solving skills to the test. 🧠💡 Estimating with limited data isn't just a challenge—it's a skill that sharpens your critical thinking and decision-making abilities. This assignment pushed me to dive deep, make informed assumptions, and trust the power of data-driven insights! 🙌 Excited to take these new skills into my future projects and continue growing in the dynamic world of product management. Onward and upward! 🚀 #ProductManagement #Guesstimation #LearningJourney #DataDriven #ProductSpace #ContinuousImprovement

Bridging the Gap: Engineer to Product Manager in 3 Strategic Steps Are you leveraging your engineering expertise for your move into product management? Here's a focused roadmap: 1. Identify Transferable Skills - Catalog your engineering skills that directly enhance product management (e.g., problem-solving, project management). 2. Upskill in AI - Integrate AI tools for data analysis in product decisions to boost your technical edge. 3. Engage in Product Conversations - Join product-focused forums and discussions, and contribute your unique engineering perspective. Remember, transitioning roles isn't just about new skills but applying what you know in innovative ways. What's one skill you could transfer from your current role to a product role?