Role-Based Programme
RB0374

Lovable.dev for Product & Service Management

AI-Assisted Product Prototyping, MVP Development & Rapid Validation

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical proficiency in using Lovable.dev to transform product ideas, customer problems, and requirements into functional digital prototypes and MVPs.
  • Translate product briefs, workflows, user stories, acceptance criteria, and business rules into structured AI-assisted application builds.
  • Create and refine interfaces, application logic, data-driven experiences, authentication flows, and service prototypes.
  • Apply rapid experimentation to product discovery, stakeholder validation, feature testing, launch preparation, and continuous improvement.
  • Establish appropriate product, engineering, security, privacy, accessibility, and human-review controls before production implementation.

Tools covered

Lovable.devAI Prompt-to-App DevelopmentFull-Stack Application PrototypingVisual EditingUI & UX GenerationApplication LogicDatabase IntegrationAuthentication ConceptsSupabase IntegrationGitHub IntegrationResponsive DesignLive PreviewIterative DevelopmentDeployment & Product Validation Workflows

Who should attend

  • Product Managers
  • Product Owners
  • Technical Product Managers
  • Digital Product Managers
  • AI Product Managers
  • Service Managers
  • Product Operations Professionals
  • Product Analysts
  • Business Analysts
  • Innovation Managers
  • Customer Experience Professionals
  • Service Design Professionals
  • Product Strategy Professionals
  • Product & Service Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of product or service-management activities
  • Familiarity with customer requirements, user stories, MVPs, prototypes, or digital-product concepts
  • Basic understanding of web and application workflows is helpful
  • Ability to describe business requirements and user journeys clearly
  • Basic awareness of data privacy and application-security considerations
  • No advanced programming expertise required
  • No previous Lovable.dev training required

TOC Modules

Concepts
  • Understanding AI-assisted full-stack application creation and rapid product prototyping
  • Mapping Lovable.dev across discovery, MVP creation, internal tools, service experiences, and validation
  • Understanding relationships between prompts, UI, application logic, data, and generated code
  • Differentiating exploratory prototypes, MVPs, and production-ready applications
Practical activities
  • Exploring the Lovable.dev workspace and application-building workflow
  • Creating a basic product prototype from a business idea
  • Mapping Product Need → Prompt → Application → Validation → Iteration

Scenarios

Customer Problem to Validated Digital MVP

Customer Problem → Product Discovery → Requirements → Lovable.dev Build → Functional MVP → User Journey Testing → Stakeholder Feedback → Iteration → Product Review

Participants convert validated customer needs into a functional MVP and use structured feedback to improve the solution before additional product investment.

Service Process to Self-Service Digital Experience

Manual Service Process → Pain-Point Analysis → Digital Workflow Design → Lovable.dev Prototype → Data & User Flow → Functional Testing → Service Owner Review → Improvement Plan

Participants transform an inefficient service workflow into a working self-service prototype while ensuring customer experience, data privacy, technical architecture, and production decisions remain under accountable human ownership.

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