Ask ten product teams what "good performance" looks like and you'll probably get ten different dashboards, dozens of charts, and still no confident answer to the one question that actually counts: is the product genuinely working? The Product Metrics That Matter: Analytics and Performance Measurement Training Course, delivered by Arab British Fellowship Training Academy, strips that noise back to a small set of measures a team can genuinely act on — instead of a wall of numbers nobody fully trusts.

The course treats analytics as a decision-making discipline rather than a reporting exercise. Participants work through choosing a north star metric that keeps a team aligned around one meaningful outcome, running funnel analysis to find exactly where users give up, and reading retention data as one of the most honest signals a product can offer. Time is also spent on partnering effectively with business intelligence teams so the numbers can actually be trusted, and on turning all of it into product decisions rather than reports that get read once and forgotten.

By the end of this course, participants will be able to:

• Choose a north star metric that keeps an entire team aligned around one meaningful outcome
• Run funnel analysis to identify precisely where, and why, users drop off
• Read retention data as a genuine indicator of long-term product health
• Distinguish meaningful performance signals from vanity metrics that look good but say little
• Partner effectively with business intelligence tools and teams to access data that can be trusted
• Translate analytics into clear, defensible product decisions instead of static reports
• Adjust measurement priorities as a product moves from launch through maturity
• Present performance data to stakeholders in a way that holds up under scrutiny
• Build a measurement practice that keeps evolving with the product rather than going stale

Target Audience

• Product managers and product owners responsible for performance measurement
• Data analysts and business intelligence professionals working alongside product teams
• Growth and marketing professionals relying on funnel and retention data
• Heads of product embedding analytics into product strategy
• Founders and startup teams who need a clear, honest read on product performance
• Professionals moving from intuition-led to analytics-led product management

Module 1: When Dashboards Lie — Diagnosing Real Product Performance

• Why more dashboards don't automatically mean more clarity
• The gap between having data and genuinely understanding performance

Module 2: Picking One Metric That Actually Matters

• Choosing a north star metric that reflects genuine product value
• Aligning teams and roadmap priorities around that single metric

Module 3: Funnel Analysis — Finding Exactly Where Users Give Up

• Mapping the funnel to identify precisely where drop-off happens
• Diagnosing why users leave, not just where they leave

Module 4: Retention as the Most Honest Signal You Have

• Reading retention as one of the clearest indicators of product health
• Spotting patterns behind disengagement before they become churn

Module 5: Partnering with BI Teams to Get Data You Can Trust

• Collaborating with business intelligence to access reliable data
• Structuring data requests that produce genuinely useful analysis

Module 6: From Numbers to Decisions — Avoiding the Vanity Metric Trap

• Translating analytics into prioritised, defensible roadmap decisions
• Recognising metrics that look impressive but don't inform anything

Module 7: Communicating Performance Without Losing the Room

• Presenting north star, funnel and retention insight clearly to stakeholders
• Defending performance-based decisions under pressure

Module 8: Keeping the Measurement Framework Alive as the Product Evolves

• Adjusting metrics and analysis as a product moves from launch to maturity
• Embedding regular performance review into everyday product routines