Role-Based Programme
RB0172

Claude for Product & Service Management

Practical AI for Research, Requirements & Product Decisions

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational proficiency in using Claude across practical Product and Service Management activities.
  • Apply structured prompting techniques for customer research, requirements, prioritisation, planning, documentation, and stakeholder communication.
  • Use Claude to analyse customer feedback, product documents, service information, research reports, and performance data.
  • Apply Web Search and Research to develop current, source-backed market, competitor, customer, and product intelligence.
  • Build reusable AI-assisted Product and Service Management workflows using Projects and Artifacts while maintaining evidence quality, confidentiality, customer relevance, and human decision ownership.

Tools covered

ClaudeGenerative AIPrompt EngineeringFile & Data AnalysisWeb SearchResearchProjectsArtifacts

Who should attend

  • Product Managers
  • Product Owners
  • Service Managers
  • Service Owners
  • Product Analysts
  • Product Operations Professionals
  • Service Management Professionals
  • Business Analysts
  • Customer Experience Professionals
  • Digital Product Professionals
  • Product Marketing Professionals
  • Implementation & Service Delivery Professionals
  • Product Team Leaders
  • Product & Service Management Leaders

Prerequisites & Participant Readiness

  • Basic understanding of Product or Service Management activities
  • Familiarity with customer needs, feedback, requirements, product features, or service processes
  • Basic document and spreadsheet-handling knowledge is helpful
  • Basic computer and internet proficiency
  • No programming knowledge required
  • No previous Claude experience required
  • Participants should use anonymised or organisation-approved customer, product, and service information during practical exercises
  • Product priorities, roadmap commitments, commercial decisions, and customer-impacting actions must remain subject to authorised human review

TOC Modules

Concepts
  • Understanding Claude and Generative AI from a Product and Service Management perspective
  • Identifying suitable applications across discovery, research, requirements, planning, documentation, and analysis
  • Understanding AI assistance versus Product or Service Manager judgement and accountability
  • Recognising hallucinations, outdated information, customer-data sensitivity, and verification requirements
Practical activities
  • Exploring Claude through common product and service activities
  • Comparing simple and structured prompts for the same product requirement
  • Identifying repetitive Product and Service Management activities suitable for Claude assistance

Scenarios

Customer Problem to Prioritised Product Requirement

Customer Feedback → Claude Analysis → Pain Points → Problem Statement → Requirements → User Stories → Prioritisation → Product Review

Participants use Claude to transform anonymised customer feedback into structured product requirements and prioritisation inputs while keeping final roadmap and feature decisions under Product-team ownership.

Market Intelligence to Product Opportunity

Business Question → Claude Web Search / Research → Market & Competitor Evidence → Customer Expectations → Capability Comparison → Opportunity Areas → Product Recommendation

Participants use Claude to conduct source-backed product research, compare market alternatives, and convert validated findings into opportunity areas and product-management recommendations.

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