Naresh Kothoor’s Post

Research is the foundation for great product decisions! 📈 Connecting product decisions to customer research lays the foundation for successful products by identifying key focus areas. Aligning choices to insights ensures you build what users want. 🔎💡 This prevents wasted effort on features that don't resonate. Let research guide your roadmap! And check out productgirl.io for more data-driven PM tips. #productmanagement #custdev #pmtips #data #growth #marketing #letsdothis

Imagine piloting a plane without instruments – that's what product development feels like without data!   In product management, data offers key insights. Here are essential metrics to track: Activation Rate: Are new users experiencing your core value soon after signing up? User Behavior: Map user flows to spot friction points and underutilized features. Revenue Metrics: Track customer acquisition costs, lifetime value, churn rates, and payback path.  Leading Indicators: Monitor engagement signals that predict growth or decline. Data should guide your product's evolution and strategy. Handle your analytics with the same care as you would your morning coffee or else you could be wide awake with problems!   How do you leverage data to drive product decisions? Share your stories below! 🕵️♀️ #ProductAnalytics #DataDrivenPM #ProductStrategy #ProductMetrics  

Unlocking Insights: Value Moments vs Setup Moments in Product Analytics! 📊 Ever wondered how product analytics can unveil the secrets of user behavior? Let's dive into two key concepts: Value Moments and Setup Moments. 🔍 Value Moments: These are the golden nuggets in your data—the moments when users truly derive value from your product. Whether it's completing a purchase, achieving a milestone, or experiencing a 'wow' feature, value moments highlight what keeps users engaged and satisfied. By identifying and optimizing these moments, you can enhance user experience and drive retention. 🔧 Setup Moments: Picture this as laying the foundation for success. Setup moments are the initial interactions users have with your product—signing up, onboarding, configuring preferences, etc. Getting these moments right is crucial for setting the stage for a positive user journey. Smooth setup experiences pave the way for long-term engagement and loyalty. In product analytics, understanding the dynamics between value and setup moments is key to crafting a compelling user experience and driving sustainable growth. By analyzing these moments, you can uncover insights that fuel innovation and drive business impact. 💡 Embrace the magic of Value Moments, honor the importance of Setup Moments, and watch your product journey unfold with brilliance and purpose! ✨#ProductAnalytics #UserExperience #ValueMoments #SetupMoments #ProductSuccess #DataDrivenDecisions #Innovation #UserJourney #ProductManagement #AnalyticsMagic 🚀

Unlocking the Power of Data-Driven Product Management 🚀 In today’s competitive landscape, leveraging data is key to building successful products. Here are three strategies I’ve found invaluable: - Deep Dive into User Analytics: Understand user behavior patterns to make informed decisions. Tools like Google Analytics and Mixpanel are game-changers. - A/B Testing: Experimentation helps in identifying what truly resonates with users. A well-structured A/B test can reveal surprising insights. - Cross-Functional Collaboration: Working closely with engineering, design, and marketing ensures the product vision aligns with business objectives. How do you use data to drive product decisions? Share your thoughts below! 🤔 #ProductManagement #DataDriven #UserExperience #ProductStrategy #Innovation #shareyourthoughts

🚀 Elevating Product Experience with Analytics! 🚀 Ever wondered how some products feel like they were made just for you? That's product analytics at work. It’s all about diving deep into how we interact with digital products, understanding our needs, and enhancing that experience in real time. 📊👀 In our digital-first world, standing out requires more than just a great product, it requires a deep understanding of user experience. That's where product analytics steps in, transforming data into delightful experiences. Through my journey, I've seen how analytics can turn insights into action—making products not just functional but phenomenal. It's about creating something that feels tailor-made for every user. 🌟 Why pivot to product analytics? - It provides insights into user preferences and behaviors. - It fuels innovation, elevating products beyond the ordinary. - It's the key to product-led growth, enhancing satisfaction and loyalty. - It gives businesses the edge they need to deliver unique value, boosting revenue. How has product analytics influenced your strategy? Let's share insights and learn from each other’s journeys. #dataanalytics #productanalytics #userexperience #digitaltransfomation #innovation

💭 Imagine launching a new feature in your product and seeing a spike in usage, but receiving feedback from users saying that it’s hard to navigate. Let me share my take on the magic of balancing user feedback and data analytics. 👇 ⚖️ Finding that balance is essential for making informed product decisions. The contradicting information we received from the data and our users after the launch pushes us to dig deeper to find the ‘why’ behind the misalignment. 🌅 By combining user feedback with data analytics, we get a holistic view that validates assumptions, identifies areas for improvement, and helps prioritize features that truly resonate with our users. This integrated approach ensures we address the root causes of any issues and refine our product based on real-world usage and experiences. 🎯 Ultimately, aligning user feedback with data insights allows us to make decisions that are both data-driven and user-centric. It’s this synergy that drives the creation of products that not only meet but exceed user expectations.

Elevate your #productmanagement game with data-driven #insights ! 📊 From #markettrends to user satisfaction, real-time metrics, and insightful #analytics in #productdevelopment – it's time to revolutionize your #approach . Ready to level up? Dive into the details and unlock the potential of your #product ! Swipe left to explore the #keystrategies that can take your product to new heights. #technology #productmanager #rootquotient #canada #uk #research

In today's digital landscape, product analytics are more crucial than ever for driving informed decision-making and achieving product success. The slides says why. By leveraging data-driven insights, businesses can make informed decisions, optimize user experiences, and stay ahead of the competition. #ProductManagement #DataAnalysis #LinkedIn #BusinessStrategy #ProductManager

Just finished the course “Data-Driven Product Management” by my friend and mentor Drew Falkman.  This is a great course for product managers looking to get a comprehensive understanding of how to take data-driven decisions in your products with the use of product analytics tools that provide  funnels, conversions, customer segments, KPIs, AB testing, feature flags and more.   https://lnkd.in/eFc3d5aC #productmanagement #datadrivendecisionmaking. 

✨ What are Product Metrics & What do we need to know about them ↓ (👉 A Summary of Product Metrics Guide (https://lnkd.in/gHAvVbM8) by Amplitude) ✅ Product Metrics are indicators of how users interact with a product. ✨5 Common Categories of Product Metrics: 1️⃣ Acquisition: Measures initial user interaction.  → Examples: New signups, qualified leads.  → Goal: Helps you to focus on the most effective marketing channels. 2️⃣ Activation: Tracks users reaching the moment of receving the core offering of your product.  → Examples: Activation rate, time to activate. → Goal: Helps you identify critical areas during onboarding which users might be facing friction & improve on it. 3️⃣ Engagement: Assesses frequency and manner of user interactions. → Examples: Monthly active users, feature usage. → Goal: Helps you keep track on popularity of products / features, informing decisions to prioritise on which features accordingly. 4️⃣ Retention: Measures how many users return over time. → Examples: Retention rate, churn rate. → Goal: User retention is critical for company growth. 5️⃣ Monetization: Captures conversion of engagement into revenue. → Examples: Monthly recurring revenue, average revenue per user. → Goal: Enhance business profitability through user engagement. ❌ Common Issues with Product Metrics: → Identifying relevant data. → Determining actionable steps. → Assessing performance. ✅ How Product Metrics Inform Decisions: → Pricing → Payment models → Feature mix → Influence on onboarding flows → UI design → Messaging → Identification of the ideal customer. ❗️Take note of Leading vs. Lagging Indicators → Leading Indicators: Predict future actions (e.g., new sign-ups) - important to identify these indicators as they are actionable, unlike lagging indicators.  → Lagging Indicators: Reflect past outcomes (e.g., annual revenue) - usually for long-term strategy. *Note that I'm not affiliated with any of these resources* Other Useful Resources: 👉 Lean Analytics (https://lnkd.in/geMTEcVY) by Alistair Croll & Ben Yoskovitz 👉 The Ultimate List of Product Metrics (https://lnkd.in/g3V2Px4T) by Paweł Huryn 🇺🇦 🇺🇦