Role-Based Programme
RB0254

DeepSeek for Product & Service Management

Practical AI for Customer Insights, Product Analysis & Decision Support

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational proficiency in using DeepSeek across practical Product and Service Management activities.
  • Apply structured prompting techniques for customer analysis, product research, requirements, prioritisation, planning, and decision support.
  • Use DeepSeek to analyse approved customer feedback, product documents, requirements, research material, and performance information.
  • Apply Web Search and Thinking Mode for competitor research, market analysis, complex product questions, and structured option evaluation.
  • Build reusable AI-assisted Product and Service Management workflows while maintaining evidence validation, confidentiality, customer relevance, and human decision ownership.

Tools covered

DeepSeekGenerative AIPrompt EngineeringWeb SearchThinking ModeFile Upload & Text AnalysisStructured Analysis

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 Strategy Professionals
  • Product Marketing Professionals
  • Service Delivery Professionals
  • Product & Service Management Team Leaders

Prerequisites & Participant Readiness

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

TOC Modules

Concepts
  • Understanding DeepSeek and Generative AI from a Product and Service Management perspective
  • Identifying applications across discovery, research, requirements, analysis, planning, and reporting
  • Understanding AI assistance versus Product Manager judgement and accountability
  • Recognising hallucinations, outdated information, confidentiality risks, bias, and verification requirements
Practical activities
  • Exploring DeepSeek through common product and service questions
  • Comparing simple questions with structured product prompts
  • Reviewing AI-generated findings for assumptions and evidence gaps
  • Identifying recurring Product and Service Management activities suitable for DeepSeek assistance

Scenarios

Customer Feedback to Prioritised Product Requirement

Customer Feedback → DeepSeek File Analysis → Recurring Themes → Problem Statement → Requirements → User Stories → Prioritisation → Product Review

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

Competitor Development to Product Decision

Market / Competitor Question → DeepSeek Web Search → Capability Comparison → Thinking Mode Analysis → Customer Impact → Options & Trade-Offs → Product Recommendation

Participants investigate a current competitor or market development, compare alternative responses, and convert validated evidence into a structured product decision-support brief.

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