Role-Based Programme
RB0373

Lovable.dev for Product & Service Management

AI-Assisted Product Prototyping, MVP Validation & Product Workflows

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability to convert product ideas, PRDs, customer problems, and service requirements into realistic interactive prototypes using Lovable.
  • Create and refine user journeys, interfaces, workflows, forms, dashboards, and functional MVP concepts through natural-language instructions.
  • Use prototypes to validate assumptions, discover edge cases, collect stakeholder feedback, and improve requirements before engineering investment.
  • Explore backend capabilities, organisational context, connectors, GitHub handoff, and publishing workflows for realistic product experimentation.
  • Apply product judgement, customer-data protection, security review, scope control, and human approval throughout AI-assisted product development.

Tools covered

Lovable.devLovable AI AgentLovable CloudLovable AIVisual EditingDraftsWorkspace ThemesConnectorsGitHub SyncPublishingCustom DomainsSecurity Scanning

Who should attend

  • Product Managers
  • Product Owners
  • Technical Product Managers
  • Digital Product Managers
  • Service Managers
  • Product Operations Professionals
  • Product Analysts
  • Business Analysts
  • Product Strategy Professionals
  • Service Design Professionals
  • Innovation Managers
  • Product / Service Management Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of product or service-management processes
  • Familiarity with customer needs, requirements, user journeys, product briefs, or MVP concepts
  • Basic understanding of digital applications is helpful
  • No programming expertise required
  • No previous Lovable.dev experience required
  • Production deployment and handling of confidential or regulated information should follow organisational security and engineering policies

TOC Modules

Concepts
  • Understanding AI-assisted application building and interactive prototyping
  • Exploring product use cases across prototypes, MVPs, onboarding flows, internal tools, dashboards, and service experiences
  • Mapping Customer Problem → Product Hypothesis → Prototype → Feedback → Decision
  • Distinguishing static design concepts from functional, testable prototypes
Practical activities
  • Creating a simple working product concept from a natural-language requirement
  • Exploring generated screens, interactions, states, and application logic
  • Mapping product-management activities to suitable Lovable workflows

Scenarios

Customer Problem to Validated Product Prototype

Customer Insight → Problem Statement → Product Requirement → Lovable Prototype → Functional User Journey → Stakeholder / User Testing → Feedback → Requirement Refinement → Product Decision

Participants transform a validated customer problem into a realistic interactive prototype and use structured feedback to determine whether the concept should progress, change, or stop before significant engineering investment.

Product Requirement to Functional MVP & Engineering Handoff

PRD / Product Requirement → Connected Context → Lovable Build → Data & User Workflow → Draft Experimentation → Functional Testing → Stakeholder Validation → GitHub / Engineering Handoff → Approved Next Step

Participants create a functional MVP from product requirements, test alternative approaches safely, validate key workflows, and prepare a clearer evidence-backed package for engineering implementation.

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