You'll develop expertise in transforming user behavior data into strategic product decisions through comprehensive analytics and prioritization frameworks. By completing this course, you'll gain the ability to design tracking systems, diagnose conversion funnel issues, and apply structured prioritization methods like RICE scoring to guide product roadmaps. You'll learn to analyze churn patterns, create success criteria for new features, and build predictive models to forecast product impact.
Product Analytics for Prioritization & Data-Driven Decisions
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Product Analytics for Prioritization & Data-Driven Decisions
This course is part of Product Analytics Unlocked: Metrics to Meaningful Insight Specialization
Instructor: Professionals from the Industry
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Design tracking systems by translating product features into event schemas and diagnose funnel regressions to pinpoint user drop-off causes.
Apply RICE prioritization framework to evaluate features and create decision memos linking data trends to strategic roadmap recommendations.
Analyze churn logs to identify attrition root causes and establish success criteria with counter-metrics for new product features.
Build predictive models using decision trees and logistic regression, then present insights using structured data storytelling frameworks.
Details to know
Shareable certificate
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Recently updated!
March 2026
Taught in English
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This course is part of the Product Analytics Unlocked: Metrics to Meaningful Insight Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 13 modules in this course
You will systematically analyze user interfaces to establish comprehensive tracking frameworks that capture meaningful behavioral data.
What's included
4 videos2 readings2 assignments
You will systematically investigate conversion funnel performance drops through segmentation analysis and root cause methodology to identify specific optimization opportunities.
What's included
2 videos2 readings3 assignments
You will learn the RICE prioritization framework to systematically evaluate competing product features, eliminating subjective bias through structured impact, confidence, and effort assessments.
What's included
2 videos1 reading2 assignments
You will learn the creation of executive-level decision memos that transform analytical insights into actionable strategic recommendations with comprehensive risk assessment.
What's included
3 videos1 reading2 assignments
You will systematically examine customer churn data using Pareto analysis and cohort segmentation to identify underlying behavioral patterns and system-level friction points that drive user attrition.
What's included
2 videos2 readings2 assignments
You will develop comprehensive success criteria frameworks with specific KPIs, counter-metrics, and target thresholds for onboarding features that prevent unintended consequences and ensure holistic performance measurement.
What's included
1 video2 readings3 assignments
You will learn the systematic application of industry funnel benchmarks to create predictive forecasting models that estimate Monthly Active User growth from referral initiatives.
What's included
3 videos1 reading2 assignments
You will learn the systematic creation of prioritization matrices using collaborative frameworks to guide strategic resource allocation decisions across competing product initiatives.
What's included
2 videos1 reading3 assignments
You will learn the systematic six-step framework that transforms ad-hoc product investigations into rigorous, reproducible analyses that stakeholders can trust and validate.
What's included
2 videos2 readings1 assignment
You will learn the critical evaluation skills needed to select optimal classification models for product analytics scenarios by systematically comparing decision trees and logistic regression based on interpretability, data characteristics, and preprocessing requirements.
What's included
2 videos2 readings3 assignments
You will learn the fundamentals of transforming technical analytics into compelling business narratives using proven storytelling structures.
What's included
3 videos1 reading1 assignment
You will develop advanced skills in connecting quantitative user segmentation data to qualitative personas for strategic decision-making and stakeholder communication.
What's included
3 videos1 reading3 assignments
You will create a comprehensive product analytics report that combines user funnel analysis, churn investigation, and strategic prioritization recommendations. This integrated project demonstrates proficiency in translating raw data into actionable business insights that drive product decisions.
What's included
3 readings1 assignment
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