Role-Based Programme
RB0242

Kimi for Product & Service Management

Practical AI for Customer Research, Product Intelligence & Decision Support

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational proficiency in using Kimi across practical Product and Service Management activities.
  • Apply structured prompting techniques for customer research, problem discovery, requirements analysis, prioritisation, and product planning.
  • Use Kimi Agentic Search to investigate markets, competitors, technologies, customer expectations, and emerging product trends using current traceable sources.
  • Analyse approved customer feedback, product documents, service reports, spreadsheets, presentations, images, and other business files.
  • Build reusable AI-assisted Product and Service Management workflows using Projects and Kimi Agent while maintaining evidence quality, confidentiality, customer relevance, and human decision ownership.

Tools covered

KimiGenerative AIPrompt EngineeringAgentic SearchFile & Multimodal AnalysisProjectsKimi AgentWeb Research & Information Synthesis

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
  • Implementation & Service Delivery Professionals
  • Product & Service Management Leaders

Prerequisites & Participant Readiness

  • Basic understanding of Product or Service Management activities
  • Familiarity with customer needs, product features, requirements, services, or performance information
  • Basic document and spreadsheet-handling knowledge is helpful
  • Basic computer and internet proficiency
  • No programming knowledge required
  • No previous Kimi 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 Kimi and Generative AI from a Product and Service Management perspective
  • Understanding conversational AI, Agentic Search, multimodal analysis, Projects, and agent-based workflows
  • Identifying suitable applications across discovery, research, requirements, planning, documentation, and performance analysis
  • Understanding hallucinations, outdated information, customer-data sensitivity, confidentiality, and verification requirements
Practical activities
  • Exploring Kimi through common product and service activities
  • Comparing simple and structured prompts for the same product requirement
  • Using follow-up questions to progressively refine product analysis
  • Identifying Product Management activities suitable for Kimi assistance

Scenarios

Customer Problem to Prioritised Product Requirement

Customer Feedback → Kimi File Analysis → Themes & Pain Points → Problem Statement → Market / Competitor Research → Requirements → Prioritisation → Product Review

Participants combine approved customer evidence with current external research to transform a customer problem into structured requirements and prioritisation inputs while retaining Product-team ownership of final decisions.

Market Intelligence to Product Opportunity

Business Question → Kimi Agentic Search → Market & Competitor Evidence → Capability Comparison → Customer Expectations → Opportunity Areas → Product Recommendation

Participants research a selected market using traceable current sources, compare competing solutions, and convert validated findings into product-opportunity recommendations for Product and Service Management review.

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