
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.
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.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Lean Startup Thinking
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 2HideHide detailsSee detailsIdentifying and Framing Assumptions
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 3HideHide detailsSee detailsMinimum Viable Products Designed Right
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 4HideHide detailsSee detailsCustomer Discovery and Interviewing
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 5HideHide detailsSee detailsMetrics, Measurement, and Analytics
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 6HideHide detailsSee detailsPivot or Persevere Decisions
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 7HideHide detailsSee detailsScaling with Lean Principles
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 8HideHide detailsSee detailsLean Startup in Established Organizations
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.
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.
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