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Lean Startup Methodology Course
More than 2 million learners worldwide

Lean Startup Methodology Course

Stop building products nobody wants. This course equips entrepreneurs, product managers, and corporate innovators with the Lean Startup methodology — a proven, experiment-driven system for testing ideas fast, learning from real customers, and scaling only what works. From assumption mapping to pivot decisions, every tool here is built for results.

Dedika for businesses

What you will learn:

  • Apply the Build-Measure-Learn loop to accelerate business experimentation and reduce costly waste.

  • Design and execute MVPs that test critical assumptions before committing significant time or budget.

  • Conduct structured customer discovery interviews that surface unbiased, actionable market insights.

  • Build a lean metrics dashboard that distinguishes validated progress from misleading vanity metrics.

  • Use a structured pivot decision framework to evaluate when evidence demands a strategic change.

  • Adapt Lean Startup tools for established organizations, including governance models and internal buy-in strategies.

How you study in a practical way Lean Startup Methodology Course

How you practice Lean Startup Methodology Course

For companies who want to train their team

With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.

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Course content

8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Lean Startup Thinking

  • Lesson 1 • The Build-Measure-Learn Loop

    Introduces the central feedback loop driving all Lean Startup activity. Students map each phase and understand how iteration replaces long planning cycles.

  • Lesson 2 • Origins and Core Philosophy

    Traces Lean Startup's roots in lean manufacturing and agile development. Grounds students in the mindset shift from prediction-based to learning-based entrepreneurship.

  • Lesson 3 • Lean Startup vs. Traditional Planning

    Contrasts waterfall business planning with iterative experimentation. Students identify where traditional approaches create waste and where Lean Startup reduces it.

  • Lesson 4 • Validated Learning as Currency

    Reframes business progress as knowledge gained rather than features shipped. Students distinguish vanity metrics from actionable learning outcomes.

Chapter 2See details

Identifying and Framing Assumptions

  • Lesson 1 • Prioritizing Riskiest Assumptions

    Introduces frameworks for ranking assumptions by impact and uncertainty. Students select the single riskiest assumption to test first.

  • Lesson 2 • Customer and Problem Assumptions

    Focuses on assumptions about who the customer is and what problem they face. Students articulate precise customer segments and problem hypotheses.

  • Lesson 3 • Building an Assumption Map

    Guides students through creating a complete visual assumption inventory. The map becomes the foundation for all subsequent experiment design.

  • Lesson 4 • The Role of Assumptions in Business

    Explains how untested assumptions drive most startup failures. Students recognize assumption types embedded in business models and strategies.

  • Lesson 5 • Solution and Value Assumptions

    Examines assumptions about whether a proposed solution delivers real value. Students write testable value propositions linked to customer outcomes.

Chapter 3See details

Minimum Viable Products Designed Right

  • Lesson 1 • Avoiding MVP Pitfalls

    Identifies over-building, under-building, and misaligned learning as key failure modes. Students apply checklists to validate MVP scope before execution.

  • Lesson 2 • MVP Planning for Real Scenarios

    Applies MVP design principles to B2B, B2C, and internal innovation contexts. Students produce a ready-to-execute MVP plan for their own business case.

  • Lesson 3 • Types of MVPs and Their Uses

    Surveys concierge, smoke test, Wizard of Oz, and other MVP formats. Students match MVP type to the assumption being tested.

  • Lesson 4 • Designing the MVP Experiment

    Structures MVP design as a formal experiment with hypothesis, method, and success criteria. Students write a complete MVP experiment brief.

  • Lesson 5 • What an MVP Actually Is

    Corrects common MVP misconceptions and establishes a rigorous definition. Students distinguish an MVP from a prototype, beta, or finished product.

Chapter 4See details

Customer Discovery and Interviewing

  • Lesson 1 • Customer Discovery Process Overview

    Maps the four-phase customer discovery process from hypothesis to insight. Students understand how discovery feeds directly into assumption validation.

  • Lesson 2 • Conducting and Recording Interviews

    Provides facilitation techniques for building rapport and probing deeply. Students practice active listening and structured note-taking methods.

  • Lesson 3 • Synthesizing Interview Findings

    Introduces affinity mapping and pattern recognition to extract insights from raw data. Students produce a findings summary that updates their assumption map.

  • Lesson 4 • Recruiting the Right Participants

    Covers screening criteria, recruitment channels, and sample size decisions. Students build a recruitment screener aligned to their target customer hypothesis.

  • Lesson 5 • Designing Unbiased Interview Questions

    Teaches question types that elicit honest behavior-based responses. Students rewrite leading questions into neutral, open-ended alternatives.

Chapter 5See details

Metrics, Measurement, and Analytics

  • Lesson 1 • Choosing the Right Metrics

    Distinguishes actionable, accessible, and auditable metrics from vanity metrics. Students audit an existing metrics set and replace weak indicators.

  • Lesson 2 • Building a Lean Metrics Dashboard

    Guides students in assembling a concise dashboard tied to current learning priorities. Students produce a dashboard template ready for team use.

  • Lesson 3 • Cohort Analysis Fundamentals

    Introduces cohort analysis as the primary tool for measuring behavioral change over time. Students build a basic cohort table from sample data.

  • Lesson 4 • Split Testing and Experimentation

    Covers A/B testing design, statistical significance basics, and result interpretation. Students design a valid split test for a specific product or marketing assumption.

  • Lesson 5 • Funnel Metrics and Conversion Tracking

    Maps customer journey stages to measurable conversion events. Students identify drop-off points and hypothesize causes for low conversion.

Chapter 6See details

Pivot or Persevere Decisions

  • Lesson 1 • Structured Pivot Decision Framework

    Provides a step-by-step decision process integrating metrics, interviews, and assumption status. Students complete a pivot decision worksheet for a case study.

  • Lesson 2 • Recognizing the Pivot Trigger

    Defines the conditions under which a pivot is warranted versus premature. Students distinguish between noise-driven doubt and evidence-driven pivot signals.

  • Lesson 3 • Types of Pivots Explained

    Surveys zoom-in, zoom-out, customer segment, platform, and business architecture pivots. Students match pivot type to specific failure patterns in their assumption map.

  • Lesson 4 • Communicating Pivots to Stakeholders

    Addresses how to frame a pivot as strategic learning rather than failure. Students draft a stakeholder communication that maintains confidence and clarity.

  • Lesson 5 • The Persevere Case

    Articulates when continued iteration on the current strategy is the correct choice. Students evaluate persevere scenarios using learning velocity and runway data.

Chapter 7See details

Scaling with Lean Principles

  • Lesson 1 • Engines of Growth Defined

    Introduces sticky, viral, and paid growth engines and their underlying mechanics. Students identify which engine fits their validated business model.

  • Lesson 2 • Scaling Operations Without Waste

    Applies lean process thinking to hiring, infrastructure, and operations during growth. Students identify scaling decisions that should be deferred until fit is confirmed.

  • Lesson 3 • Maintaining Innovation Culture at Scale

    Addresses the organizational tension between efficiency and experimentation as teams grow. Students design structural mechanisms that preserve lean experimentation at scale.

  • Lesson 4 • Growth Experiment Design

    Extends MVP experiment design to growth-stage hypotheses about acquisition and retention. Students write a growth experiment brief using the same hypothesis format.

  • Lesson 5 • Product-Market Fit Signals

    Defines product-market fit operationally and identifies measurable signals of its presence. Students assess their current fit level using quantitative and qualitative indicators.

Chapter 8See details

Lean Startup in Established Organizations

  • Lesson 1 • Corporate Innovation Challenges

    Diagnoses the structural and cultural barriers that block lean experimentation in large firms. Students map barriers specific to their own organizational context.

  • Lesson 2 • Lean Startup Governance Models

    Presents portfolio, skunkworks, and innovation lab governance structures. Students evaluate which model fits their organization's size and risk tolerance.

  • Lesson 3 • Implementation Roadmap Design

    Guides students through building a phased rollout plan with milestones and success metrics. Students leave with a complete, organization-specific implementation roadmap.

  • Lesson 4 • Building Internal Buy-In

    Provides strategies for securing executive sponsorship and cross-functional support. Students craft a lean initiative pitch tailored to a skeptical leadership audience.

  • Lesson 5 • Adapting Lean Tools for Corporate Use

    Modifies MVPs, customer interviews, and pivot decisions for corporate compliance and brand constraints. Students adapt a lean experiment template for internal approval processes.

Certification

Your valid completion certificate

This course is for you:

  • First-time founder: needs a structured approach to validate ideas before launch.

  • Product manager: wants to connect team output to real customer learning outcomes.

  • Corporate innovation lead: seeks tools to run experiments inside a large organization.

  • MBA student: building practical skills to complement academic business frameworks.

  • Side-project entrepreneur: ready to test a concept without quitting their day job.

  • Business analyst: looking to influence strategy through evidence rather than opinion.

What our students say

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