Roadmap-to-job attribution needs more than product analytics. Clicks, page views, and sessions do not equal job outcomes. They only tell you what customers did inside your product—not whether they achieved what they set out to do. To measure true impact, you need data on goal achievement, success rates, and completion workflows. That’s how you move beyond activity metrics and start proving whether roadmap initiatives are actually improving customer outcomes.
Why clicks don't equal job outcomes: the need for goal achievement data
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Activation is more than a milestone - it's a narrative your product writes with every new user. Most teams think of activation as a single event: sign-up, feature use, or payment. But true activation is about users experiencing recurring value so clearly that it becomes part of their workflow. If you’re measuring “activated” users by actions alone, you might be missing the signals that actually drive long-term retention and upgrades. My advice? Go beyond vanity metrics. Dive into cohort analysis to map lasting behaviors, not just one-off events. Find out which actions correlate most with staying power, and build your guardrails for experiments around those real indicators. How do you define and measure activation at your company? Are your dashboards highlighting the right moments, or just the easy ones to track? I’d love to hear how others have redefined this critical metric for real growth.
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Why Customer Churn Is More Than a Data Problem Working on Interconnect’s churn project reminded me of something important: Churn prediction isn’t just about the model. It’s about the decisions that follow. Even the best churn model won’t matter if: - Retention offers don’t align with customer needs - Marketing can’t execute quickly - Leadership doesn’t act on the insights As a product owner, I see churn prediction as a decision-support tool. The real win comes when insights drive faster, smarter business actions. 👉 Reflection: Great product work happens where data meets strategy. Question for you: Have you ever seen great analytics… but poor follow-through on action? #DataDrivenWisdom #BusinessTechMastery #ProductManagement #ChurnPrediction
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Make Smarter Product Decisions in Real-Time You can collect data all day, but insights only matter when you act on them. Real-time analytics helps you spot friction, validate features, and iterate fast. Read our latest blog to learn how. https://lnkd.in/gYzcW_-C https://lnkd.in/gYzcW_-C #ProductManagement #Analytics #DataDriven #GreyLoft
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Your growth problem isn't at the top of the funnel. It's in those first 60 seconds. Most teams bury the real value behind signups, setups, and blank dashboards. When users have to wait, their activation drops off fast. Delivering instant value boosts activation and sparks word-of-mouth sharing. Let visitors just hit a URL, describe what they need, and watch it run in under a minute. Simplify the process: try it, see the output, then deploy. Talk less and show working value right away. Take a look at your first five minutes this week and audit it. #GrowthHacking For full context, you know where to find the link 👇
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🚀 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗥𝗲𝗹𝗲𝗮𝘀𝗲: 𝗦𝘂𝗽𝗿𝗦𝗲𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝟮.𝟬 Notifications today go out across email, SMS, push, in-app… but analytics. Fragmented, incomplete, and error insights are hidden where you can’t find them. Product & Engineering teams struggle to answer even the basics: ❓ Why did this message fail? ❓ How are users actually reacting? ❓ Are we sending too many…or too few notifications? That changes today. 𝗪𝗲’𝗿𝗲 𝗹𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝟮.𝟬: 𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗮𝗰𝘁𝗶𝗼𝗻. What’s new: ⚡ Real-time insights → Track performance across channels and spot dips in engagement instantly. 🔍 Workflow-level drilldowns → Compare workflows, templates & channels side by side. 🙅 Unsubscribe & fatigue trends → Know when your users opt-out, and identify fatigue triggers to keep comms helpful. 📊 Powerful filters → Slice by workflow, tenant, template, or channel in seconds. ⁉️ Centralized error tracking → All requests → processed → delivery issues in one place. Analytics 2.0 goes beyond “what happened”. It shows you why, and gives you the power to act in real time. 👉 Start your free trial or book a demo. We’d love to show you what’s new. #notificationinfra #notificationanalytics #newfeature
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Back in my analytics days, getting a clear picture of notification performance felt like detective work 🕵️♂️. Pulling data from multiple platforms, stitching it into sheets, wrestling with APIs and webhooks to get this data into your database —just to answer a simple question: “How are our notifications performing?” It was messy, chaotic and querying that data was a nightmare. That pain stuck with us. So at SuprSend, we built notification analytics the way we wish we had it—one place, cleanly normalized, queryable, and actually useful. Not just for our users, but for us too.
🚀 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗥𝗲𝗹𝗲𝗮𝘀𝗲: 𝗦𝘂𝗽𝗿𝗦𝗲𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝟮.𝟬 Notifications today go out across email, SMS, push, in-app… but analytics. Fragmented, incomplete, and error insights are hidden where you can’t find them. Product & Engineering teams struggle to answer even the basics: ❓ Why did this message fail? ❓ How are users actually reacting? ❓ Are we sending too many…or too few notifications? That changes today. 𝗪𝗲’𝗿𝗲 𝗹𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝟮.𝟬: 𝗰𝗲𝗻𝘁𝗿𝗮𝗹𝗶𝘇𝗲𝗱, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗮𝗰𝘁𝗶𝗼𝗻. What’s new: ⚡ Real-time insights → Track performance across channels and spot dips in engagement instantly. 🔍 Workflow-level drilldowns → Compare workflows, templates & channels side by side. 🙅 Unsubscribe & fatigue trends → Know when your users opt-out, and identify fatigue triggers to keep comms helpful. 📊 Powerful filters → Slice by workflow, tenant, template, or channel in seconds. ⁉️ Centralized error tracking → All requests → processed → delivery issues in one place. Analytics 2.0 goes beyond “what happened”. It shows you why, and gives you the power to act in real time. 👉 Start your free trial or book a demo. We’d love to show you what’s new. #notificationinfra #notificationanalytics #newfeature
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#ProductOwner #InterviewQuestion #SuccessMetrics #FeatureMetrics How do you define success of your feature ? Here’s a simple framework I use: 1. Define success metrics upfront in feature itself – adoption, conversion, retention, engagement. 2. Be ready with – analytics events, funnels, dashboards. 3. Measure from day one – track early signals, not just lagging results. 4. Iterate quickly – let the data guide your optimizations. When you tie success to well-defined metrics, you can understand the real impact of a feature — and move faster with confidence.
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Did you know? Adding AI-first analytics to your product can help you win more deals, generate higher revenue, and give your customers the actionable insights they need to succeed. Check out this cheat sheet to learn how you can deliver what your customers are craving and get ahead of the competition: https://lnkd.in/gmZbUg8x #AIFirstAnalytics #ProductManagement #RevenueGrowth #ActionableInsights #VisierEmbedded
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Christian Wiklund, our CEO and unitQ Co-Founder, is set to speak at the Product Analytics Summit hosted by the Product-Led Alliance on Thursday. Here's an advance excerpt: "Think of product analytics as the X-ray — it shows you the internal structure and where something might be fractured. Customer feedback is the patient telling you exactly where it hurts, how much it hurts and when it started." Check out Christian's post for the details! #CustomerFeedback #UserFeedback #ProductAnalytics #Product #VoiceoftheCustomer
I’m looking forward to speaking at the Product Analytics Summit on August 28. My session, "Product Analytics Only Tells Half the Story," will explore how combining product analytics with customer feedback creates a clear picture of product health. The live-virtual talk is about 20 minutes, followed by a live Q&A. Hope you can join this Product-Led Alliance event. Check out the full blog post: https://lnkd.in/gAfFPpFz #UserFeedback #CustomerFeedback #Product #ProductAnalytics unitQ
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Strategy without customer insight is Death! Dramatic headline right? However, that is exactly what it is. Crafting strategy without customer insights is like sailing blindfolded - its not just risky, it’s fatal. Customer insights are more than data; it’s a deep understanding of behaviors, motivations, pain points and expectations. It reveals not just what customers do, but why they do it. Without this clarity, strategic decisions become guesswork, leading to misaligned products, ineffective marketing and poor customer experience. Successful organizations embed customer insights into every layer, from product development to service delivery. They actively listen, analyze customer feedback and adapt quickly to changes. So, the next time you are tasked with the honorable role of developing strategy, do pass through customer service for insights.
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