Role-Based Programme
RB0431

Meta AI & Manus for Product / Service Management

AI-Assisted Product Discovery, Research, Planning & Agentic Workflows

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

Programme Objectives

  • Develop functional proficiency in using Meta AI and Manus across product discovery, research, requirements, prioritisation, planning, launch preparation, and service improvement.
  • Build reusable AI-assisted workflows that transform customer feedback, research, documents, datasets, and business requirements into structured product-management outputs.
  • Apply Manus Agent Mode to multi-step assignments requiring research, analysis, planning, document creation, and execution.
  • Use Meta AI for research, synthesis, ideation, information analysis, and rapid creation of product-management materials.
  • Apply source validation, customer-data confidentiality, product judgement, approval checkpoints, and responsible AI practices throughout agentic workflows.

Tools covered

Meta AIMeta AI Deep ResearchMeta AI Task & Document CreationManus Chat ModeManus Agent ModeManus Plan ModeManus Web ResearchManus File AnalysisManus PowerPoint SlidesManus Cloud Computer

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

  • Working understanding of product or service-management processes
  • Familiarity with customer requirements, product briefs, roadmaps, prioritisation, launches, or service-improvement activities
  • Basic experience reviewing business documents, research, or structured data
  • Basic familiarity with generative AI tools is helpful
  • No programming expertise required
  • No requirement to complete shorter Meta AI / Manus courses
  • Organisational policies should be followed before providing confidential, personal, regulated, or commercially sensitive information to external AI platforms

TOC Modules

Concepts
  • Understanding conversational AI, research assistants, and agentic AI workflows
  • Exploring Meta AI for research, synthesis, documents, presentations, and task assistance
  • Understanding Manus Chat Mode versus Agent Mode for simple and complex assignments
  • Mapping product work across Discover → Define → Prioritise → Deliver → Measure → Improve
Practical activities
  • Exploring equivalent product tasks in Meta AI and Manus
  • Comparing conversational assistance with autonomous task execution
  • Mapping product-management activities to the appropriate AI platform

Scenarios

Customer Feedback to Prioritised Product Initiative

Customer Feedback + Research Inputs → Meta AI Synthesis → Problem Themes → Product Requirements → Prioritisation Matrix → Manus Plan Mode → Product-Team Review → Approved Initiative

Participants convert distributed customer and market information into validated requirements and an evidence-based prioritisation recommendation while maintaining human ownership of the roadmap decision.

Product Opportunity to Executive Decision Package

Market Opportunity → Meta AI Deep Research → Competitive Analysis → Manus Agent Workflow → Product Brief → Roadmap Options → PowerPoint Presentation → Product Leadership Review → Decision

Participants combine research, agentic execution, product analysis, and presentation creation to produce a structured decision package containing evidence, product options, risks, recommendations, and clear next actions.

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