Liste des modules

Professional training module

AGL-30/ Lean Startup and Business Model Canvas

From Hypothesis to Market Readiness. In this 3-day bootcamp, you’ll learn to apply Lean Startup principles and the Business Model Canvas to turn ideas into testable, customer-validated business models. Gain tools to reduce risk, accelerate feedback, and design MVPs that lead to traction — not guesswork.

Track
Diplome et Certifications
Duration
21 hour
Format
Schools, cohorts, or programme teams
Price
75 €

Overview

What this module covers

From Hypothesis to Market Readiness. In this 3-day bootcamp, you’ll learn to apply Lean Startup principles and the Business Model Canvas to turn ideas into testable, customer-validated business models. Gain tools to reduce risk, accelerate feedback, and design MVPs that lead to traction — not guesswork.

Learning outcomes

What learners should be able to do

6 outcomes
  • 1

    Break down business ideas into testable hypotheses

  • 2

    Use the Business Model Canvas to model revenue, channels, and partners

  • 3

    Identify riskiest assumptions and validate them with customers

  • 4

    Design effective MVPs with limited resources

  • 5

    Run lean experiments and measure product/market fit

  • 6

    Iterate and pivot your business model based on data, not opinion

Module content

Course description

3-Day Intensive Course for Innovators, Founders & Product Teams

3 Intense Days
7 Hours per Day (Split into two 3.5-hour sessions)

Learning Path Visual

Your journey from idea to testable business model:

Day 1: Lean Startup Mindset & Business Model Fundamentals
Learn how to frame and de-risk business ideas using the Lean Startup method. Explore the Business Model Canvas as a visual tool for aligning customer, value, and infrastructure assumptions.

Day 2: Customer Discovery & MVP Design
Validate your riskiest assumptions. Conduct interviews, analyze insights, and design a Minimum Viable Product (MVP) with the fewest moving parts that still delivers core value.

Day 3: Testing, Pivoting & Business Model Iteration
Turn feedback into action. Run experiments, measure traction, and iterate on your business model. Prepare a lean pitch deck with validated learning and market readiness.

Course Overview

The best products don’t start with technology — they start with validated insight. This course teaches entrepreneurs, intrapreneurs, and innovation teams to test and evolve business ideas using Lean Startup principles and the Business Model Canvas.

Through rapid learning loops, you’ll practice reducing waste, accelerating market feedback, and aligning offerings with real customer needs — before you build.

You’ll learn how to:

  • Break down business ideas into testable hypotheses

  • Use the Business Model Canvas to model revenue, channels, and partners

  • Identify riskiest assumptions and validate them with customers

  • Design effective MVPs with limited resources

  • Run lean experiments and measure product/market fit

  • Iterate and pivot your business model based on data, not opinion

This course is ideal for early-stage founders, innovation teams, accelerators, and anyone building a value-driven business.

What’s Inside Each Day

Day 1 — Lean Startup Mindset & Business Model Fundamentals

  • The Lean Startup loop: Build → Measure → Learn

  • Problem/solution fit vs. product/market fit

  • Overview of the Business Model Canvas (BMC)

  • Customer segments, value propositions, channels

  • Mapping assumptions in the BMC

  • Workshop: Draft your first BMC and identify riskiest assumptions

Tools: LeanStack, Miro, Strategyzer Canvas
Focus: Modeling • Framing • Lean Principles

Day 2 — Customer Discovery & MVP Design

  • Identifying early adopters and target personas

  • Interview techniques for uncovering real problems

  • Interpreting signal vs. noise in user feedback

  • Minimum Viable Product (MVP) planning

  • MVP archetypes: concierge, landing page, prototype, Wizard of Oz

  • Workshop: Create your MVP test plan and feedback loops

Tools: Google Forms, Figma, no-code tools (Carrd, Airtable)
Focus: Discovery • Validation • MVP Strategy

Day 3 — Testing, Pivoting & Business Model Iteration

  • Experiment design: variables, metrics, and assumptions

  • Measuring traction: conversion, retention, NPS

  • Pivot types: zoom-in, customer segment, channel, tech

  • Storytelling with data: how to pitch validated learning

  • Building a lean pitch deck

  • Workshop: Present your validated BMC and next-step roadmap

Tools: Canva, Pitch.com, analytics tools (GA, Hotjar)
Focus: Testing • Metrics • Business Model Evolution

Course Goals

By the end of this course, you’ll be able to:

  • Model business ideas using the Business Model Canvas

  • Identify and validate assumptions through real customer feedback

  • Build MVPs that prioritize learning over features

  • Adapt and evolve your business model based on market signals

  • Communicate your startup or innovation project with credibility and clarity

Who Should Take This Course?

  • Founders launching or refining a product idea

  • Startup teams building MVPs or seeking product/market fit

  • Product managers validating new initiatives

  • Corporate innovators de-risking intrapreneurship efforts

  • Accelerator and incubator participants preparing for investment

Class Reference: AGL-30
Form Updated on: 06/16/2025 (Version 1)
Last Modified on: 06/16/2025

Program Note

This course includes customizable templates for Lean Canvas, MVP planning, and investor-ready pitch outlines. Suitable for early-stage ventures, university programs, and internal innovation labs.

Academic delivery team

Instructor matching for this module

After reviewing the module content, LC confirms the right delivery profile by topic, level, teaching language and assessment expectations.

Instructor matchingCurriculum fitAssessment support
André-Alexis des ForgesLead

Lead trainer & academic programme coordinator

André-Alexis des Forges

Lead trainer for LC's higher-education delivery model, coordinating modules, instructor preparation and assessment continuity across business, IT and technical programmes.

Academic coordinationESPIT & business English
Meriam Mbindyo

AI, data & software instructor

Meriam Mbindyo

Instructor for AI, data, DevOps, Agile and software modules, with experience across Paris-based IT and business schools.

Artificial intelligenceMachine learningData mining