Explore Courses
course iconScrum AllianceCertified ScrumMaster (CSM) Certification
  • 16 Hours
Best seller
course iconScrum AllianceCertified Scrum Product Owner (CSPO) Certification
  • 16 Hours
Best seller
course iconScaled AgileLeading SAFe 6.0 Certification
  • 16 Hours
Trending
course iconScrum.orgProfessional Scrum Master (PSM) Certification
  • 16 Hours
course iconScaled AgileSAFe 6.0 Scrum Master (SSM) Certification
  • 16 Hours
course iconScaled Agile, Inc.Implementing SAFe 6.0 (SPC) Certification
  • 32 Hours
Recommended
course iconScaled Agile, Inc.SAFe 6.0 Release Train Engineer (RTE) Certification
  • 24 Hours
course iconScaled Agile, Inc.SAFe® 6.0 Product Owner/Product Manager (POPM)
  • 16 Hours
Trending
course iconIC AgileICP Agile Certified Coaching (ICP-ACC)
  • 24 Hours
course iconScrum.orgProfessional Scrum Product Owner I (PSPO I) Training
  • 16 Hours
course iconAgile Management Master's Program
  • 32 Hours
Trending
course iconAgile Excellence Master's Program
  • 32 Hours
Agile and ScrumScrum MasterProduct OwnerSAFe AgilistAgile CoachFull Stack Developer BootcampData Science BootcampCloud Masters BootcampReactNode JsKubernetesCertified Ethical HackingAWS Solutions Architect AssociateAzure Data Engineercourse iconPMIProject Management Professional (PMP) Certification
  • 36 Hours
Best seller
course iconAxelosPRINCE2 Foundation & Practitioner Certification
  • 32 Hours
course iconAxelosPRINCE2 Foundation Certification
  • 16 Hours
course iconAxelosPRINCE2 Practitioner Certification
  • 16 Hours
Change ManagementProject Management TechniquesCertified Associate in Project Management (CAPM) CertificationOracle Primavera P6 CertificationMicrosoft Projectcourse iconJob OrientedProject Management Master's Program
  • 45 Hours
Trending
course iconProject Management Master's Program
  • 45 Hours
Trending
PRINCE2 Practitioner CoursePRINCE2 Foundation CourseProject ManagerProgram Management ProfessionalPortfolio Management Professionalcourse iconAWSAWS Certified Solutions Architect - Associate
  • 32 Hours
Best seller
course iconAWSAWS Cloud Practitioner Certification
  • 32 Hours
course iconAWSAWS DevOps Certification
  • 24 Hours
course iconMicrosoftAzure Fundamentals Certification
  • 16 Hours
course iconMicrosoftAzure Administrator Certification
  • 24 Hours
Best seller
course iconMicrosoftAzure Data Engineer Certification
  • 45 Hours
Recommended
course iconMicrosoftAzure Solution Architect Certification
  • 32 Hours
course iconMicrosoftAzure DevOps Certification
  • 40 Hours
course iconAWSSystems Operations on AWS Certification Training
  • 24 Hours
course iconAWSDeveloping on AWS
  • 24 Hours
course iconJob OrientedAWS Cloud Architect Masters Program
  • 48 Hours
New
course iconCareer KickstarterCloud Engineer Bootcamp
  • 100 Hours
Trending
Cloud EngineerCloud ArchitectAWS Certified Developer Associate - Complete GuideAWS Certified DevOps EngineerAWS Certified Solutions Architect AssociateMicrosoft Certified Azure Data Engineer AssociateMicrosoft Azure Administrator (AZ-104) CourseAWS Certified SysOps Administrator AssociateMicrosoft Certified Azure Developer AssociateAWS Certified Cloud Practitionercourse iconAxelosITIL 4 Foundation Certification
  • 16 Hours
Best seller
course iconAxelosITIL Practitioner Certification
  • 16 Hours
course iconPeopleCertISO 14001 Foundation Certification
  • 16 Hours
course iconPeopleCertISO 20000 Certification
  • 16 Hours
course iconPeopleCertISO 27000 Foundation Certification
  • 24 Hours
course iconAxelosITIL 4 Specialist: Create, Deliver and Support Training
  • 24 Hours
course iconAxelosITIL 4 Specialist: Drive Stakeholder Value Training
  • 24 Hours
course iconAxelosITIL 4 Strategist Direct, Plan and Improve Training
  • 16 Hours
ITIL 4 Specialist: Create, Deliver and Support ExamITIL 4 Specialist: Drive Stakeholder Value (DSV) CourseITIL 4 Strategist: Direct, Plan, and ImproveITIL 4 Foundationcourse iconJob OrientedData Science Bootcamp
  • 6 Months
Trending
course iconJob OrientedData Engineer Bootcamp
  • 289 Hours
course iconJob OrientedData Analyst Bootcamp
  • 6 Months
course iconJob OrientedAI Engineer Bootcamp
  • 288 Hours
New
Data Science with PythonMachine Learning with PythonData Science with RMachine Learning with RPython for Data ScienceDeep Learning Certification TrainingNatural Language Processing (NLP)TensorFlowSQL For Data AnalyticsData ScientistData AnalystData EngineerAI EngineerData Analysis Using ExcelDeep Learning with Keras and TensorFlowDeployment of Machine Learning ModelsFundamentals of Reinforcement LearningIntroduction to Cutting-Edge AI with TransformersMachine Learning with PythonMaster Python: Advance Data Analysis with PythonMaths and Stats FoundationNatural Language Processing (NLP) with PythonPython for Data ScienceSQL for Data Analytics CoursesAI Advanced: Computer Vision for AI ProfessionalsMaster Applied Machine LearningMaster Time Series Forecasting Using Pythoncourse iconDevOps InstituteDevOps Foundation Certification
  • 16 Hours
Best seller
course iconCNCFCertified Kubernetes Administrator
  • 32 Hours
New
course iconDevops InstituteDevops Leader
  • 16 Hours
KubernetesDocker with KubernetesDockerJenkinsOpenstackAnsibleChefPuppetDevOps EngineerDevOps ExpertCI/CD with Jenkins XDevOps Using JenkinsCI-CD and DevOpsDocker & KubernetesDevOps Fundamentals Crash CourseMicrosoft Certified DevOps Engineer ExpertAnsible for Beginners: The Complete Crash CourseContainer Orchestration Using KubernetesContainerization Using DockerMaster Infrastructure Provisioning with Terraformcourse iconCertificationTableau Certification
  • 24 Hours
Recommended
course iconCertificationData Visualization with Tableau Certification
  • 24 Hours
course iconMicrosoftMicrosoft Power BI Certification
  • 24 Hours
Best seller
course iconTIBCOTIBCO Spotfire Training
  • 36 Hours
course iconCertificationData Visualization with QlikView Certification
  • 30 Hours
course iconCertificationSisense BI Certification
  • 16 Hours
Data Visualization Using Tableau TrainingData Analysis Using Excelcourse iconCompTIACompTIA Security+
  • 40 Hours
Best seller
course iconEC-CouncilCertified Ethical Hacker (CEH v12) Certification
  • 40 Hours
course iconISACACertified Information Systems Auditor (CISA) Certification
  • 22 Hours
course iconISACACertified Information Security Manager (CISM) Certification
  • 40 Hours
course icon(ISC)²Certified Information Systems Security Professional (CISSP)
  • 40 Hours
course icon(ISC)²Certified Cloud Security Professional (CCSP) Certification
  • 40 Hours
course iconCertified Information Privacy Professional - Europe (CIPP-E) Certification
  • 16 Hours
course iconISACACOBIT5 Foundation
  • 16 Hours
course iconPayment Card Industry Security Standards (PCI-DSS) Certification
  • 16 Hours
CISSPcourse iconCareer KickstarterFull-Stack Developer Bootcamp
  • 6 Months
Best seller
course iconJob OrientedUI/UX Design Bootcamp
  • 3 Months
Best seller
course iconEnterprise RecommendedJava Full Stack Developer Bootcamp
  • 6 Months
course iconCareer KickstarterFront-End Development Bootcamp
  • 490+ Hours
course iconCareer AcceleratorBackend Development Bootcamp (Node JS)
  • 4 Months
ReactNode JSAngularJavascriptPHP and MySQLAngular TrainingBasics of Spring Core and MVCFront-End Development BootcampReact JS TrainingSpring Boot and Spring CloudMongoDB Developer Coursecourse iconBlockchain Professional Certification
  • 40 Hours
course iconBlockchain Solutions Architect Certification
  • 32 Hours
course iconBlockchain Security Engineer Certification
  • 32 Hours
course iconBlockchain Quality Engineer Certification
  • 24 Hours
course iconBlockchain 101 Certification
  • 5+ Hours
NFT Essentials 101: A Beginner's GuideIntroduction to DeFiPython CertificationAdvanced Python CourseR Programming LanguageAdvanced R CourseJavaJava Deep DiveScalaAdvanced ScalaC# TrainingMicrosoft .Net Frameworkcourse iconCareer AcceleratorSoftware Engineer Interview Prep
  • 3 Months
Data Structures and Algorithms with JavaScriptData Structures and Algorithms with Java: The Practical GuideLinux Essentials for Developers: The Complete MasterclassMaster Git and GitHubMaster Java Programming LanguageProgramming Essentials for BeginnersSoftware Engineering Fundamentals and Lifecycle (SEFLC) CourseTest-Driven Development for Java ProgrammersTypeScript: Beginner to Advanced
  • Home
  • Blog
  • Agile
  • Definition of Ready vs Definition of Done: Key Differences in Agile

Definition of Ready vs Definition of Done: Key Differences in Agile

By KnowledgeHut .

Updated on Oct 29, 2025 | 116 views

Share:

In Agile methodologies - clarity is the foundation of successful project execution. Whether you’re a Scrum Master, Product Owner, or team member - having clear and actionable criteria is very important. This is where the Definition of Ready (DoR) and the Definition of Done (DoD) come into play. These two concepts ensure that your team is aligned on what qualifies as 'ready' for work and what qualifies as “done” once work is completed. 

While the terms might sound straightforward, their application holds immense value in driving efficiency and quality in Agile projects. In this post, we’ll explore the nuances of DoR and DoD, compare them, and delve into why both are essential for Agile success. 

Whether you’re a Scrum Master, Product Owner, or team member, pursuing Agile Management Certification courses can equip you with the skills to master the concepts of DoR and DoD, enhancing your team's efficiency. 

Last Few Days to Save Up To 90% on Career Transformation

Ends December 1 – Don't Miss Out!

What is the Definition of Ready (DoR)? 

The Definition of Ready (DoR) highlights the benchmark that a user story or backlog item must meet before a team commits to working on it. It acts as a pre-flight checklist - and makes sure that all necessary details, resources, and dependencies are in place for development to begin confidently. When a task fails to meet these readiness conditions - it’s a signal that the team shouldn’t proceed yet, as unclear or incomplete inputs often result in wasted effort and misaligned outcomes. 

In practice, the DoR brings structure and accountability to the start of a sprint. It forces conversations about what’s missing, clarifies assumptions, and prevents the team from diving into half-baked requirements. A well-crafted DoR outlines what’s included, what’s excluded - and the prerequisites needed to avoid ambiguity. 

By becoming a SAFe Agilist, you can better implement DoD at an enterprise level, making sure that your team delivers high-quality, defect-free work consistently. 

Typical examples include: 

  • Clearly articulated and testable acceptance criteria 
  • No pending dependencies or blockers  
  • User stories refined and understood by the team 
  • Availability of all relevant stakeholders or team members 

By meeting these standards, the DoR ensures every sprint begins with clarity and direction, reducing downstream friction and delays. 

What is the Definition of Ready (DoR)? 

The Definition of Done (DoD) outlines the specific criteria a user story or task must meet for it to be considered complete. While the Definition of Ready (DoR) prepares the task for execution - the DoD makes sure that the task is finished to the required standard before it is marked as complete. 

DoD sets clear, objective standards that define the steps necessary for work to be declared fully done. These standards can include processes - like thorough code reviews, successful test results, or final approval from stakeholders. It offers an unambiguous method to confirm that work is not only finished but also meets the necessary quality before being released to the next phase or delivered to the customer. 

Common elements of a DoD include: 

  • Code reviewed and successfully merged  
  • Unit tests pass automatically 
  • Acceptance criteria fully met  
  • Documentation updated 
  • Feature deployed and tested in a staging environment 

By adhering to the DoD, teams ensure that the work delivered is complete, defect-free, and production-ready, reducing the chances of incomplete or substandard work reaching stakeholders. 

Definition of Done vs Definition of Ready: Table of Differences 

Understanding the distinction between the Definition of Ready (DoR) and the Definition of Done (DoD) is very important - when working in an Agile environment - for maintaining a smooth workflow. Both concepts serve different yet complementary roles in the development process. The DoR makes sure that a task or user story is sufficiently prepared to be worked on - and the DoD confirms that the task has met all necessary criteria before it is considered complete. 

Here’s a comparison table to clearly highlight the key differences between these two concepts – DoD vs DoR:

Aspect  Definition of Ready (DoR)  Definition of Done (DoD) 
Purpose  Ensures that tasks are adequately prepared for work  Confirms that tasks meet all criteria for completion 
Timing  Applied before work begins  Applied once work is completed 
Focus  Clarity of requirements and dependencies  Quality of the delivered work 
Criteria  Clear acceptance criteria, resolved dependencies  Code review, testing, documentation, stakeholder approval 
Example  Task is well-defined with no blockers or ambiguities  Feature is tested, reviewed, and approved for release 

By understanding these differences, teams can better manage their work - which avoids delays or incomplete deliverables. The DoR sets the stage for effective execution - while the DoD makes sure the work meets quality standards before being handed off. 

Definition of Done vs Definition of Ready: Detailed Differences 

While both DoR and DoD help define quality, they address different stages of the Agile process - pre-work and post-work. Let’s dive deeper into their differences: 

1. Timing and Role in Workflow 

  • DoR comes into play before any work starts. It's all about ensuring that the task or user story is fully defined and understood by the team. Once a story meets the DoR - the team can begin their work without delays 
  • DoD, however, is applied after work is completed. It provides the criteria to ensure that the task meets all required quality checks and can be marked as finished. It serves as the final checkpoint before a product increment is released. 

2. Focus and Purpose 

  • DoR focuses on ensuring clarity and preparation. It helps in breaking down a complex task into smaller, manageable, and actionable chunks - ready for development. It’s about eliminating confusion before work begins. 
  • DoD, in contrast - focuses on verifying the completeness of the work. It makes sure the output adheres to the standards of quality, functionality, and completeness. If a task doesn’t meet DoD, it’s not "done" - it’s still work in progress. 

3. Practical Examples in Agile Projects 

Consider a user story - like “As a user, I want to be able to log into my account using Google credentials.” 

DoR for this task would require the following: 

  • Clear acceptance criteria (e.g., the login button should appear on the login page). 
  • The task is prioritized in the backlog.  
  • The development environment is ready - with all dependencies (e.g., Google OAuth API) set up.

DoD for this task might include:  

  • The login functionality works as expected and is tested across browsers. 
  • Unit tests pass - and security tests confirm that the integration with Google OAuth is secure.  
  • The feature has been reviewed by the product owner and other stakeholders. 

Impact on Team Efficiency 

Without a well-defined DoR, teams might waste valuable time on tasks that are too vague or undefined - leading to unnecessary delays and confusion. DoD ensures that once work is completed - it meets a high standard and is ready for release. This reduces the risk of defects or incomplete features slipping through the cracks. 

Both DoR and DoD provide critical structure in Agile projects - enabling smoother workflows and better product quality. 

Why Both DoR & DoD Are Essential for Agile Success? 

Both the Definition of Ready (DoR) and Definition of Done (DoD) are essential for the effective functioning of Agile workflows. The DoR makes sure that tasks or user stories are clearly defined and free of confusion before work starts - which sets the team up for success. Without a clear DoR, teams may begin working on tasks that are incomplete or vague - that lead to inefficiencies and wasted effort.  

In contrast - the DoD acts as a safeguard for quality - which make sure tasks are fully completed and meet the required standards before they are considered finished. It provides a final check - which makes sure work is thoroughly tested, reviewed - and free of defects before being delivered. This helps to prevent mistakes and ensures consistently high-quality output.  

When used together - the DoR and DoD create a seamless project flow. The DoR makes sure that work is well-prepared from the start - while the DoD guarantees that the final deliverables meet quality expectations. This combination keeps projects on track, delivers superior results, and makes sure that the team’s efforts align with business goals and customer needs - driving overall success in Agile environments. 

Final Thoughts 

To conclude - the Definition of Ready (DoR) and Definition of Done (DoD) are integral components of Agile methodologies. The DoR makes sure that tasks are clearly defined and fully prepared before execution - while the DoD ensures the completion and quality of the work. Both play a crucial role in fostering a smooth, efficient - and high-quality Agile environment. 

If you’re looking to enhance your Agile skills - explore upGrad KnowledgeHut’s SAFe Agilist certification. Gain the knowledge to scale Agile practices effectively and lead high-performing teams in today’s dynamic business landscape. 

Frequently Asked Questions (FAQs)

1. Is the Definition of Done the same as the Definition of Ready?

No, the Definition of Ready (DoR) and Definition of Done (DoD) serve different purposes in Agile. The DoR defines the criteria that a task must meet before work can begin, while the DoD outlines the criteria a task must meet for it to be considered complete and delivered. 

2. Who decides the Definition of Done?

The Definition of Done (DoD) is typically decided collaboratively by the Agile team, including the Scrum Master, Product Owner, and developers. It is often reviewed and adjusted during retrospectives to ensure it meets the evolving needs of the team and project. 

3. What is an example of a DoR in Agile?

An example of a DoR in Agile could be: “The user story has clear and testable acceptance criteria, all dependencies are resolved, and the necessary resources and team members are available to begin work.” 

4. Can you change the Definition of Done?

Yes, the Definition of Done (DoD) can be changed. It should evolve over time based on the team’s needs and feedback from retrospectives, but any changes must be agreed upon by the entire team to maintain alignment. 

5. What is MMP in Agile?

MMP stands for Minimum Marketable Product in Agile. It refers to the smallest version of a product that delivers enough value to be released to the market and provides feedback to guide further development. 

KnowledgeHut .

111 articles published

KnowledgeHut is an outcome-focused global ed-tech company. We help organizations and professionals unlock excellence through skills development. We offer training solutions under the people and proces...

Get Free Consultation

+91

By submitting, I accept the T&C and
Privacy Policy

Ready to learn about Agile Certifications Roadmap?