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Lean Analytics Practice Exam

Lean Analytics Practice Exam


About Lean Analytics Exam

The Lean Analytics Certification proves your ability to use data to grow businesses faster and smarter. It is ideal for professionals who want to make better decisions using metrics. This certification helps you stand out in job roles that involve data, product growth, or business development. It shows employers you can track key metrics, test ideas, and improve performance quickly. Many startups and data-driven companies value Lean Analytics skills. With this certification, you demonstrate that you can drive results by focusing on what really matters. It is a powerful tool for landing roles in data, growth, and innovation teams.


Who should take the Exam?

This exam is ideal for:

  • Product Managers
  • Startup Founders
  • Business Analysts
  • Growth Hackers
  • Data Analysts
  • Digital Marketers
  • UX Researchers
  • Business Intelligence Professionals
  • Innovation Managers
  • Strategy Consultants

Skills Required

  • Identifying actionable metrics
  • Creating and using dashboards
  • Setting up A/B tests
  • Understanding user behavior
  • Data-driven decision-making
  • Prioritizing experiments
  • Problem validation and product-market fit
  • Measuring and interpreting KPIs

Knowledge Gained

  • How to choose the right metric for growth
  • What makes a good metric (e.g., actionable, accessible, auditable)
  • How to test ideas quickly using data
  • Understanding customer stages and funnels
  • When to pivot, persevere, or scale
  • Techniques to validate business problems
  • Frameworks like Pirate Metrics (AARRR)
  • Tracking and improving product-market fit

Course Outline

The Lean Analytics Exam covers the following topics -

Domain 1 - Introduction to Lean Analytics

  • What is Lean Analytics?
  • Key principles and goals

Domain 2 - Metrics That Matter

  • Good vs. vanity metrics
  • Actionable, auditable, accessible metrics

Domain 3 - The Lean Startup Stages

  • Empathy, Stickiness, Virality
  • Revenue and Scale

Domain 4 - Measuring Product-Market Fit

  • Problem validation
  • Customer feedback loops

Domain 5 - AARRR Framework

  • Acquisition
  • Activation
  • Retention
  • Referral
  • Revenue

Domain 6 - Data-Driven Experiments

  • A/B testing basics
  • Hypothesis and test planning

Domain 7 - Dashboards and Tools

  • Building a lean dashboard
  • Choosing the right tools

Domain 8 - Analytics for Business Decisions

  • Using data to support pivots
  • Aligning metrics to business goals

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