Role-Based Programme
RB0336

Cursor for Product & Service Management

Explore AI-Assisted Prototyping, Feature Development & Product Validation

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

Programme Objectives

  • Understand how Cursor can support product managers in translating requirements into prototypes and working product changes.
  • Explore AI-assisted codebase understanding to strengthen collaboration between product and engineering teams.
  • Experience workflows for user stories, acceptance criteria, feature implementation, testing, and iteration.
  • Identify suitable opportunities for delegating bounded development tasks to AI coding agents.
  • Recognise security, technical validation, human review, and product-governance requirements before releasing AI-generated changes.

Tools covered

CursorCursor AgentCodebase Context & SearchCloud AgentsCursor RulesGit / Pull Request WorkflowsBugbot

Who should attend

  • Product Managers
  • Product Owners
  • Digital Product Managers
  • Technical Product Managers
  • AI Product Managers
  • Product Analysts
  • Product Operations Professionals
  • Product Innovation Professionals
  • Service Managers
  • Service Design Professionals
  • Customer Experience Professionals
  • Product & Service Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of product or service management
  • Familiarity with customer needs, user stories, requirements, or product features
  • General awareness of software-development processes is helpful
  • Basic understanding of source code or Git is beneficial but not mandatory
  • No advanced programming expertise required
  • No previous Cursor experience required

TOC Modules

Concepts
  • Understanding AI coding agents and their role in modern digital-product development
  • Exploring Cursor Agent for codebase search, multi-file changes, command execution, and development support
  • Mapping AI assistance across Define → Build → Test → Review → Improve
  • Differentiating rapid AI-generated implementation from production-ready engineering
Practical activities
  • Exploring a representative product project using Cursor
  • Mapping Product Activity → Cursor Capability → Human Review → Product Outcome

Scenarios

Customer Requirement to Validated Product Feature

Customer Need → User Story → Acceptance Criteria → Cursor Agent Task → Codebase Analysis → Feature Prototype → Testing → Product Validation → Engineering Review

Participants convert a validated customer requirement into a working product change while keeping product acceptance, technical quality, security, and final release decisions under accountable human ownership.

Product Feedback to Controlled Feature Improvement

User Feedback → Existing Feature Review → Codebase Context → Improvement Requirement → Agent-Assisted Change → Bug / Quality Review → Product Acceptance → Engineering Handoff

Participants use Cursor to understand an existing feature and prototype an improvement while establishing clear checkpoints for requirements, testing, code quality, and engineering approval.

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