MVP Development and Product Management

About Course

Many startups spend months building an impressive product before learning whether customers will use it. Others launch something so incomplete that it cannot test the real value proposition. This course shows founders and product teams how to define the learning objective, choose the right MVP, control scope and manage the product using evidence rather than feature pressure.

You will translate customer evidence into requirements, compare MVP types, create a prototype, prioritise a backlog and plan development. Practical activities cover user stories, acceptance criteria, delivery milestones, controlled launch, onboarding, product analytics, customer feedback and iteration. The course then establishes the routines needed to manage vision, outcomes, discovery, delivery and stakeholders after launch.

By the end, you will become a more disciplined product builder—able to release the smallest credible product, measure real behaviour and decide what to improve next. Successful learners receive a Scalelab Academy certificate, lifetime access and future updates, plus MVP canvases, backlog and launch templates, dashboards, roadmaps and course-specific AI tools.

Define product outcomes and critical assumptions.
Translate customer evidence into product requirements.
Select an appropriate MVP type.
Define minimum viable scope and exclusions.
Create and test a product prototype.
Write user stories and acceptance criteria.
Build and prioritise a product backlog.
Plan MVP development, quality and responsibilities.
Launch with meaningful product measures.
Use evidence to iterate, pivot, expand, pause or stop.
Build an outcome-based product roadmap.
Create a repeatable product-management operating system.

Course Content

Section 1: Define the Product Outcome and Riskiest Assumptions
Begin with customer outcome and business learning, then prioritise problem, user, solution, feasibility and model risks.

Outcome Before Features
Map Product Assumptions
Classify Assumption Types
Rank Risk and Uncertainty
Set MVP Learning Goals
Apply It: Outcome and Assumptions Map

Section 2: Translate Customer Evidence into Product Requirements
Convert discovery evidence into needs, use cases, constraints and success conditions.

Section 3: Choose the Right Type of MVP
Select the least expensive credible method for testing the critical assumption.

Section 4: Define the Minimum Viable Scope
Design the smallest complete experience that can generate useful evidence.

Section 5: Design and Prototype the Product Experience
Create and test flows, wireframes or prototypes before expensive development.

Section 6: Prioritise Features and Build the Product Backlog
Create user stories, acceptance criteria and a value-, evidence-, effort- and risk-based backlog.

Section 7: Plan and Manage MVP Development
Coordinate design, technology and business work through milestones, roles, dependencies and quality controls.

Section 8: Launch the MVP and Measure Real Behaviour
Run a controlled release with early users, onboarding, support, instrumentation and meaningful measures.

Section 9: Learn, Iterate and Make Product Decisions
Combine usage, feedback and operational evidence to decide whether to iterate, pivot, expand, pause or stop.

Section 10: Build the Product Management Operating System
Establish vision, outcomes, roadmap, discovery, delivery, stakeholder communication and product-health reviews.

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About Course

What Will You Learn?

Course Content

Section 1: Define the Product Outcome and Riskiest Assumptions Begin with customer outcome and business learning, then prioritise problem, user, solution, feasibility and model risks.

Outcome Before Features

Map Product Assumptions

Classify Assumption Types

Rank Risk and Uncertainty

Set MVP Learning Goals

Apply It: Outcome and Assumptions Map

Section 2: Translate Customer Evidence into Product Requirements Convert discovery evidence into needs, use cases, constraints and success conditions.

Review Customer Evidence

Identify Jobs and Pain Points

Write Use Cases

Separate Needs from Requests

Define Success Conditions

Apply It: Requirements Brief

Section 3: Choose the Right Type of MVP Select the least expensive credible method for testing the critical assumption.

What Makes an MVP Valid

Landing Page and Pre-Order MVPs

Concierge and Wizard-of-Oz MVPs

Prototype and No-Code MVPs

Single-Feature and Pilot MVPs

Apply It: MVP Decision Matrix

Section 4: Define the Minimum Viable Scope Design the smallest complete experience that can generate useful evidence.

Map the Core User Journey

Choose the Core Use Case

Must-Have Learning Features

Set Explicit Exclusions

Define MVP Completion

Apply It: Scope Canvas

Section 5: Design and Prototype the Product Experience Create and test flows, wireframes or prototypes before expensive development.

Design User Flows

Sketch and Wireframe

Build a Testable Prototype

Usability and Accessibility Basics

Run Rapid Usability Tests

Apply It: Prototype Report

Section 6: Prioritise Features and Build the Product Backlog Create user stories, acceptance criteria and a value-, evidence-, effort- and risk-based backlog.

Write Useful User Stories

Define Acceptance Criteria

Estimate Effort and Risk

Compare Prioritisation Methods

Manage Backlog Quality

Apply It: Prioritised Backlog

Section 7: Plan and Manage MVP Development Coordinate design, technology and business work through milestones, roles, dependencies and quality controls.

Choose a Delivery Approach

Define Roles and Responsibilities

Plan Milestones and Dependencies

Set Quality and Security Standards

Manage Changes and Scope

Apply It: MVP Delivery Plan

Section 8: Launch the MVP and Measure Real Behaviour Run a controlled release with early users, onboarding, support, instrumentation and meaningful measures.

Choose Early Users

Plan Onboarding and Support

Instrument Key Events

Measure Activation and Engagement

Track Retention, Conversion and Quality

Apply It: Launch Plan and Dashboard

Section 9: Learn, Iterate and Make Product Decisions Combine usage, feedback and operational evidence to decide whether to iterate, pivot, expand, pause or stop.

Combine Quantitative and Qualitative Evidence

Diagnose Low Adoption

Handle Feature Requests

Prioritise Improvements

Choose the Product Decision

Apply It: Learning Report

Section 10: Build the Product Management Operating System Establish vision, outcomes, roadmap, discovery, delivery, stakeholder communication and product-health reviews.

Define Product Vision and Outcomes

Build an Outcome-Based Roadmap

Create Discovery and Delivery Cadence

Manage Stakeholder Communication

Review Product Health

Use AI Responsibly

Capstone: 90-Day Product Roadmap