Role-Based Programme
RB0241

Kimi for Product & Service Management

AI Skills for Smarter Product Research & Decisions

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how Kimi can support everyday Product and Service Management activities across research, discovery, planning, analysis, and documentation.
  • Explore practical prompting techniques for customer research, competitor intelligence, requirements, feature ideation, and product communication.
  • Apply Kimi to analyse customer feedback, market information, specifications, research documents, and product requirements.
  • Experience how long documents and multiple information sources can be synthesised into structured product insights and decision-support outputs.
  • Recognise customer privacy, confidentiality, factual accuracy, bias, intellectual property, and human-review requirements when using AI in product work.

Tools covered

KimiPromptingWeb-Connected ResearchFile & Long-Document AnalysisContent GenerationMultimodal Analysis

Who should attend

  • Product Managers
  • Product Owners
  • Service Managers
  • Product Analysts
  • Digital Product Managers
  • Product Operations Professionals
  • Product Strategy Professionals
  • Business Product Managers
  • Customer Experience Managers
  • Service Design Professionals
  • Product Leads
  • Product & Service Team Managers
  • Business Analysts Supporting Product Teams

Prerequisites & Participant Readiness

  • Basic understanding of Product or Service Management activities
  • Familiarity with customer requirements, product research, feedback, or feature planning is helpful
  • Basic computer and internet proficiency
  • No AI or programming knowledge required
  • No previous Kimi experience required

TOC Modules

Concepts
  • Understanding Kimi and Generative AI from a Product and Service Management perspective
  • Identifying applications across research, discovery, requirements, planning, and documentation
  • Understanding AI assistance versus Product Manager judgement and ownership
  • Recognising risks involving unsupported assumptions, confidential information, and inaccurate market conclusions
Practical activities
  • Exploring Kimi through common product and service management activities
  • Comparing a traditional product research task with a Kimi-assisted approach

Scenarios

Customer Feedback to Product Opportunity

Customer Feedback → Kimi Analysis → Recurring Themes → Pain Points → Market Research → Opportunity Areas → Product Insight Brief

Participants use Kimi to analyse customer feedback, research relevant market context, and convert validated findings into potential product or service opportunities for Product-team review.

Business Requirement to Product Brief

Business Need → Requirement Documents → Kimi Analysis → Requirements → User Stories → Acceptance Criteria → Product Brief

Participants use Kimi to analyse a business requirement and supporting documents, clarify key needs and assumptions, and prepare a structured product brief while retaining final prioritisation and product decisions with the responsible team.

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