Role-Based Programme
RB0429

Meta AI & Manus for Product / Service Management

Accelerate Research, Ideation & Product Planning

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how Meta AI and Manus can support product discovery, service improvement, research, ideation, and planning activities.
  • Use AI to summarize customer, market, competitor, and product information into structured insights.
  • Explore AI-assisted workflows for product ideas, feature concepts, requirements, customer journeys, and service improvements.
  • Use Manus for structured multi-step research and task execution while using Meta AI for rapid exploration, brainstorming, and content development.
  • Apply responsible AI practices covering source verification, customer confidentiality, product claims, intellectual property, and human product ownership.

Tools covered

Meta AIManusAI ChatWeb ResearchDocument AnalysisMultimodal InteractionContent GenerationTask PlanningAI-Assisted Research & Reporting

Who should attend

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

Prerequisites & Participant Readiness

  • Basic understanding of product or service-management processes
  • Familiarity with customer needs, product features, services, or business requirements
  • Basic understanding of product discovery and planning activities
  • General familiarity with AI assistants is helpful
  • No programming expertise required
  • No previous Meta AI or Manus experience required

TOC Modules

Concepts
  • Understanding the role of generative AI and AI agents in product and service management
  • Comparing rapid conversational assistance with structured multi-step AI task execution
  • Identifying suitable use cases across discovery, planning, analysis, and communication
  • Differentiating AI-generated recommendations from product-management decisions
Practical activities
  • Exploring basic interactions with Meta AI and Manus
  • Testing product-focused prompts and instructions
  • Mapping Product Task → Appropriate AI Tool → Expected Output

Scenarios

Customer Problem to Product Concept

Customer Pain Point → Meta AI Brainstorming → Solution Ideas → Manus Research → Market & Competitor Evidence → Feature Concept → Product Review

Participants start with a customer problem, generate potential solutions, research supporting evidence, and convert the strongest concept into a structured product discussion.

Product Opportunity to Stakeholder Brief

Business Opportunity → Research Questions → Manus Multi-Step Analysis → Meta AI Refinement → Requirements & Benefits → Product Brief → Stakeholder Review

Participants investigate a product or service opportunity, organize findings into requirements and potential value, and prepare a concise stakeholder brief while keeping prioritization and investment decisions under human ownership.

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