Role-Based Programme
RB0055
ChatGPT for Product & Service Management
Research, Prioritise & Build Smarter Product Workflows
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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training
Programme Objectives
- Develop functional proficiency in applying ChatGPT across product discovery, customer research, requirements, prioritisation, roadmap planning, service improvement, and launch activities.
- Apply advanced prompting and context-engineering techniques to create structured, evidence-based, and decision-ready product outputs.
- Analyse customer feedback, product documents, market information, usage data, and competitor inputs to identify needs, opportunities, risks, and improvement priorities.
- Build reusable ChatGPT-assisted workflows for discovery, requirements, stakeholder communication, product reviews, and service-management activities.
- Apply appropriate validation, privacy, source verification, product judgement, and human-review controls when using Generative AI in product and service decisions.
Tools covered
ChatGPTGenerative AIAdvanced Prompt EngineeringChatGPT SearchDeep ResearchFile & Data AnalysisProjectsPlugins & Connected Apps
Who should attend
- Product Managers
- Product Owners
- Service Managers
- Service Product Managers
- Product Analysts
- Business Analysts
- Digital Product Managers
- Product Marketing Managers
- Customer Experience Managers
- Product Operations Professionals
- Innovation Managers
- Platform Product Managers
- Technical Product Managers
- Product & Service Team Leads
Prerequisites & Participant Readiness
- Basic familiarity with product or service-management activities
- Understanding of customer needs, requirements, features, roadmaps, or service improvement
- Familiarity with business documents, reports, or customer feedback is helpful
- Basic understanding of Generative AI is beneficial but not mandatory
- No programming knowledge required
- Completion of a shorter ChatGPT programme is not required
TOC Modules
Concepts
- Understanding ChatGPT capabilities across product and service-management workflows
- Identifying suitable applications across discovery, research, analysis, documentation, and communication
- Understanding hallucinations, incomplete context, outdated information, and AI limitations
- Understanding where product judgement and stakeholder validation must remain primary
Practical activities
- Mapping recurring product and service activities to suitable ChatGPT-assisted workflows
- Testing ChatGPT with representative product-management scenarios
Scenarios
Customer Feedback to Product Roadmap
Customer Feedback → ChatGPT Analysis → Needs & Pain Points → Opportunity Themes → Feature Requirements → Prioritisation → Roadmap Recommendation
Participants use ChatGPT to transform structured customer evidence into prioritised product opportunities and a roadmap recommendation while maintaining product-manager validation at each decision point.
Service Performance to Improvement Plan
Service Data → Customer Complaints → File Analysis → Recurring Issues → Improvement Opportunities → Priority Actions → Stakeholder Communication → Review Plan
Participants analyse service-performance and customer-feedback information to identify improvement priorities, build a structured action plan, and create management-ready recommendations for service enhancement.
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
Take the next step
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Instructor-ledVirtualHybrid
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