It's easy to drown in data and still not know whether a product is actually succeeding. Dashboards multiply, reports pile up, and yet the one question that matters — is this product genuinely performing? — often goes unanswered with any real confidence. Product Analytics is the discipline that cuts through that noise, giving product teams a clear, evidence-based read on performance instead of a wall of disconnected numbers. The Product Analytics and Performance Measurement Training Course, is built for product professionals who need to measure what genuinely matters and act on it with confidence.
This course treats analytics as a decision-making discipline, not a reporting exercise. Participants learn how to define a north star metric that keeps an entire team aligned around one meaningful outcome, how to run funnel analysis to pinpoint exactly where users drop off and why, and how to read retention data as one of the most honest signals a product can offer. The course also covers how to work effectively with business intelligence tools and teams, translating raw data into insight that shapes real product decisions rather than sitting in a report nobody reads twice. Participants leave with a practical measurement framework they can apply immediately to their own product, not just a tour of metrics they already half-recognise.
Course Objectives
By the end of the course, participants will be able to:
By the end of this course, participants will be able to:
Apply Product Analytics principles to measure genuine product performance
Define a north star metric that aligns teams around a single meaningful outcome
Run funnel analysis to identify precisely where and why users drop off
Analyse retention data to understand long-term product health
Work effectively with business intelligence tools and teams to access reliable data
Distinguish meaningful performance signals from vanity metrics
Translate analytics into clear, defensible product decisions
Build a sustainable measurement practice that evolves with the product
Target Group
Product managers and product owners responsible for performance measurement
Data analysts and business intelligence professionals working with product teams
Growth and marketing professionals relying on funnel and retention data
Heads of product embedding analytics into product strategy
Founders and startup teams needing a clear read on product performance
Professionals transitioning from intuition-led to analytics-led product management
Course Outline
Why Product Analytics Matters
The gap between having data and genuinely understanding performance
Common traps: dashboard overload and metrics that don't inform decisions
Defining a North Star Metric
Choosing a single metric that reflects genuine product value
Aligning teams and roadmap priorities around the north star metric
Running Effective Funnel Analysis
Mapping the funnel to identify exactly where users drop off
Diagnosing why drop-off happens, not just where
Understanding and Improving Retention
Reading retention as one of the most honest indicators of product health
Identifying patterns behind disengagement and churn
Working with Business Intelligence Tools and Teams
Collaborating effectively with business intelligence to access reliable data
Structuring data requests that produce genuinely useful analysis
From Metrics to Product Decisions
Translating analytics into prioritised, defensible roadmap decisions
Avoiding decisions driven by vanity metrics rather than genuine signals
Measuring Performance Across the Product Lifecycle
Adjusting metrics and analysis as a product moves from launch to maturity
Recognising when existing metrics no longer reflect reality
Communicating Performance to Stakeholders
Presenting north star metrics, funnel data, and retention insight clearly
Defending performance-based decisions under stakeholder pressure
Building a Sustainable Analytics Practice
Embedding regular performance review into everyday product routines
Keeping metrics and measurement frameworks relevant as the product evolves