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

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
Access provided by Dubai Police
Recommended experience
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.
Skills you'll gain
- Customer Analysis
- Forecasting
- Root Cause Analysis
- Product Management
- Analytics
- Prioritization
- Customer Retention
- Data Capture
- Statistical Methods
- User Flows
- Performance Metric
- Business Analytics
- Data Storytelling
- Resource Allocation
- Data-Driven Decision-Making
- Performance Analysis
- Product Roadmaps
- Predictive Modeling
- Strategic Prioritization
- Web Analytics
Details to know

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March 2026
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There are 13 modules in this course
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