Company Policies

The organization's adopted rules, standards, and guidance that steer behavior and decisions. Because user stories are written to align with current policies, any policy change can force updates to existing stories, acceptance criteria, and related delivery practices.

Key Points

  • Policies are organization-wide rules, principles, and guidelines that teams must follow.
  • They directly shape user stories, acceptance criteria, and the Definition of Done/Ready.
  • Policy changes require impact analysis, backlog updates, and possible reprioritization.
  • Clear communication and traceability to tests help ensure compliance and reduce risk.

Example

A company updates its data retention policy from 90 to 30 days. The team reviews in refinement, adds or updates user stories and acceptance criteria to reflect 30-day retention, adjusts the Definition of Done, and coordinates with the product owner to reprioritize affected items in the backlog.

PMP Example Question

Mid-sprint, corporate updates its privacy policy. What should the agile team do first?

  1. Assess the policy change, update the backlog and acceptance criteria with the product owner, and adjust plans as needed.
  2. Add the new policy work to the current sprint immediately without discussion.
  3. Ignore the change until the next release to avoid disrupting velocity.
  4. Escalate to the sponsor and wait for formal change control before acting.

Correct Answer: A — Evaluate the policy change and update backlog and criteria

Explanation: Company policy changes are organizational constraints. The team should first perform impact analysis and update user stories and acceptance criteria through backlog refinement with the product owner, then replan as needed.

AI for Project Managers — Build Plans Faster, Lead Better

Turn messy inputs into structured project plans in minutes. If you are a project manager tired of spending hours on documentation, this course shows you how to use AI to work faster while staying fully in control.

This is not a generic AI course. You will learn how to use AI as a practical co-pilot to build real project artifacts—charters, WBS, schedules, risk registers, and executive reports—using structured, reliable prompt frameworks.

You will also learn how to keep your project aligned across scope, schedule, cost, and risk, and how to interpret performance data like Earned Value Management to support better decisions and communication.

Everything is designed for immediate use. You get ready-to-use prompt templates and workflows you can apply right away in your projects. Watch the video to see how it works and start building your first AI-supported project plan.



Stop Managing Admin. Start Leading the Future!

HK School of Management helps you master AI-Prompt Engineering to automate chaos and drive strategic value. Move beyond status reports and risk logs by turning AI into your most capable assistant. Learn the core elements of prompt engineering to save hours every week and focus on high-value leadership. For the price of lunch, you get practical frameworks to future-proof your career and solve the blank page problem immediately. Backed by a 30-day money-back guarantee-zero risk, real impact.

Enroll Now