Role-Based Programme
RB0054
ChatGPT for Product & Service Management
Practical AI for Research, Requirements & Delivery
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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop
Programme Objectives
- Build foundational proficiency in using ChatGPT across practical Product and Service Management activities.
- Apply structured prompting techniques for customer research, requirements, prioritisation, documentation, planning, and stakeholder communication.
- Use ChatGPT to analyse customer feedback, product or service documents, research information, and performance data.
- Improve efficiency in requirement preparation, backlog support, roadmap discussions, release communication, and service-improvement activities.
- Create repeatable AI-assisted product and service workflows while maintaining source validation, confidentiality, customer context, and human decision ownership.
Tools covered
ChatGPTGenerative AIPrompt EngineeringChatGPT SearchFile UploadsDocument AnalysisSpreadsheet & Data AnalysisProjects
Who should attend
- Product Managers
- Product Owners
- Service Managers
- Service Owners
- Product Analysts
- Product Operations Professionals
- Service Management Professionals
- Business Analysts
- Customer Experience Professionals
- Product Marketing Professionals
- Digital Product Professionals
- Implementation & Service Delivery Professionals
- Product Team Leads
- Product & Service Management Leaders
Prerequisites & Participant Readiness
- Basic understanding of product, service, or business-management activities
- Familiarity with customer requirements, feedback, product features, or service processes
- Basic spreadsheet and document-handling knowledge is helpful
- Basic computer and internet proficiency
- No programming knowledge required
- No previous ChatGPT experience required
- Participants should use anonymised or organisation-approved customer, product, and service information during exercises
TOC Modules
Concepts
- Understanding ChatGPT and Generative AI from a Product and Service Management perspective
- Identifying suitable applications across research, requirements, planning, documentation, and communication
- Understanding AI assistance versus product-owner and service-manager judgement
- Recognising hallucinations, outdated information, customer-data sensitivity, and validation requirements
Practical activities
- Exploring ChatGPT through common product and service-management activities
- Comparing simple and structured prompts for the same product requirement
- Identifying repetitive activities suitable for AI assistance
Scenarios
Customer Feedback to Prioritised Product Improvement
Customer Feedback → ChatGPT Analysis → Recurring Pain Points → Requirements → User Stories → Prioritisation Criteria → Product Review
Participants use ChatGPT to transform anonymised customer feedback into structured product-improvement opportunities and prioritisation inputs while keeping the final roadmap decision with the product team.
Service Performance to Improvement Plan
Service Data → File Analysis → Performance Trends → Customer Issues → Improvement Opportunities → Action Priorities → Management Summary
Participants analyse sample service-performance information to identify recurring issues and convert validated insights into a practical service-improvement plan and management-ready summary.
Related programmes
Continue with programmes from the same capability area.
- ChatGPT for Human Resources: AI Skills for Smarter Everyday HR
- ChatGPT for Human Resources: Practical AI for Smarter HR Workflows
- ChatGPT for Human Resources: Research, Analyse & Build Smarter HR Workflows
- ChatGPT for Human Resources: Advanced AI Workflows, Automation & HR Intelligence
- ChatGPT for Sales & Business Development: Practical AI Skills for Modern Sales Teams
- ChatGPT for Sales & Business Development: Research, Engage & Build Smarter Sales Workflows
- ChatGPT for Sales & Business Development: Advanced AI Workflows, Account Intelligence & Sales Automation
- ChatGPT for Marketing: AI Skills for Modern Marketing Teams
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Instructor-ledVirtualHybrid
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