Role-Based Programme
RB0860

Codex for Product & Service Management

Turn Product Requirements into Tested, Review-Ready Software

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability in using Codex to support software-product planning, technical understanding, implementation, and validation.
  • Translate customer needs and product requirements into clearer engineering tasks, acceptance criteria, and implementation plans.
  • Use Codex to understand existing codebases, investigate issues, review proposed changes, and generate technical documentation.
  • Apply AI-assisted testing and code review to improve feature validation and release readiness.
  • Build reusable Product Requirement → Engineering Task → Implementation → Test → Review workflows while keeping product and engineering teams in control.

Tools covered

OpenAI CodexCodex in ChatGPTProjectsCloud EnvironmentsMulti-Agent WorkflowsSkillsCode ReviewTestingGitHub Workflows

Who should attend

  • Product Managers
  • Product Owners
  • Technical Product Managers
  • Service Managers
  • Digital Product Managers
  • Product Operations Professionals
  • Business Analysts
  • Product Analysts
  • Implementation Managers
  • Product & Engineering Leads

Prerequisites & Participant Readiness

  • Basic understanding of product or service management
  • Familiarity with product requirements, user stories, or software-delivery processes
  • Basic awareness of software applications and source-code concepts is helpful
  • Familiarity with Agile or product-development workflows is beneficial
  • No advanced programming expertise required
  • No previous Codex experience required

TOC Modules

Concepts
  • Understanding Codex as an AI coding agent for planning, building, reviewing, and shipping software
  • Understanding the Product Need → Plan → Build → Test → Review lifecycle
  • Identifying suitable product-management activities for Codex assistance
  • Understanding product accountability versus AI-assisted engineering execution
Practical activities
  • Exploring Codex through a sample product-development task
  • Asking Codex to explain an unfamiliar application in product-friendly language
  • Mapping product activities to appropriate Codex capabilities

Scenarios

Customer Requirement to Tested Product Feature

Customer Need → Product Requirement → Codex Plan → Implementation → Automated Tests → Code Review → Acceptance Validation → Release Recommendation

Participants use Codex to take a product requirement through planning, implementation, testing, and review, improving product–engineering collaboration while retaining human control over what ships.

Customer-Reported Defect to Product Resolution

Customer Issue → Codex Investigation → Root-Cause Hypothesis → Tested Fix → Code Review → Product Validation → Release Input

Participants use Codex to investigate a customer-reported software issue, review the proposed resolution and supporting tests, and prepare a structured product decision on release readiness.

## Current Capability Reference

Codex currently supports end-to-end engineering work including feature implementation, bug investigation, test execution, code review, cloud tasks, GitHub workflows, multi-agent work, and reusable Skills. OpenAI recommends keeping human reviewers in control of production changes.

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