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 iconKanban UniversityKMP I: Kanban System Design Course
  • 16 Hours
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 Artchitct AssociateAzure Data Engineercourse iconPMIProject Management Professional (PMP) Certification
  • 36 Hours
Best seller
course iconAxelosPRINCE2 Foundation & Practitioner Certificationn
  • 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 CoursePMP® Exam PrepProject 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 iconAWSArchitecting on AWS
  • 32 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 Analyticscourse iconIIIT BangaloreExecutive PG Program in Data Science from IIIT-Bangalore
  • 12 Months
course iconMaryland UniversityExecutive PG Program in DS & ML
  • 12 Months
course iconMaryland UniversityCertificate Program in DS and BA
  • 31 Weeks
course iconIIIT BangaloreAdvanced Certificate Program in Data Science
  • 8+ Months
course iconLiverpool John Moores UniversityMaster of Science in ML and AI
  • 750+ Hours
course iconIIIT BangaloreExecutive PGP in ML and AI
  • 600+ Hours
Data 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 ExperteAnsible for Beginners: The Complete Crash CourseContainer Orchestration Using KubernetesContainerization Using DockerMaster Infrastructure Provisioning with Terraformcourse iconTableau Certification
  • 24 Hours
Recommended
course iconData Visualisation with Tableau Certification
  • 24 Hours
course iconMicrosoftMicrosoft Power BI Certification
  • 24 Hours
Best seller
course iconTIBCO Spotfire Training
  • 36 Hours
course iconData Visualization with QlikView Certification
  • 30 Hours
course iconSisense BI Certification
  • 16 Hours
Data Visualization Using Tableau TrainingData Analysis Using Excelcourse 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
course iconIntroduction to Forensic
  • 40 Hours
course iconPurdue UniversityCybersecurity Certificate Program
  • 8 Months
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 MySQLcourse iconPurdue UniversityCloud Back-End Development Certificate Program
  • 8 Months
course iconPurdue UniversityFull Stack Development Certificate Program
  • 9 Months
course iconIIIT BangaloreExecutive Post Graduate Program in Software Development - Specialisation in FSD
  • 13 Months
Angular 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 iconSalary Hike GuaranteedSoftware 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 BeginnersComplete Python Programming CourseSoftware Engineering Fundamentals and Lifecycle (SEFLC) CourseTest-Driven Development for Java ProgrammersTypeScript: Beginner to Advanced

Scrum Product Backlog and Agile Product Backlog Prioritization

Updated on 02 July, 2020

8.71K+ views
9 min read

The twenty century has witnessed a major surge in the adoption of Agile with organizations trying to fit into their ways of working to better meet customer demands. As per the 14th Annual State of Agile 2020, 58% of the respondents were using Scrum as the framework for product delivery. The report also mentioned that many considered Agile and Scrum to be the same, which is incorrect. 

Before getting into this article, we are recommending to check out the most important blog "User Stories" - Its features, user stories examples, and more. 

Agile is a way or method of implementing frameworks such as Scrum, Kanban and the like. It is a time-boxed, iterative way of software delivery focusing on faster time to market and customer collaboration. 

Scrum is a subset of Agile. With a great framework like Scrum, Agile gets a runway to deliver quality products in an iterative, incremental, and time-boxed manner. 

Talking of product development, whatever the framework, we must start with the creation of the requirement list. This applies to Agile too. Here, we term this as “Backlog”. I am often asked about the origin of the term, “Backlog”. Why “backlog” and why not some other word? Well, the term dates back to the 1680s when large logs were placed at the back of a fire to keep the blaze going and concentrate the heat. By the 1880s, the term was adopted in its figurative sense of "something stored up for later use". So, a Backlog is a prioritized list of items the teams’ need to work for the successful delivery of a product. 

How extensively are Scrum artifacts, and in particular, the product backlog and sprint backlog used? Source: 14th State of Agile 2020

According to the State of Scrum 2015 report, surprisingly, only 56% of the respondents reported using extensive scrum artifacts like Product Backlog and Sprint Backlog. 

Major success criteria for any Agile project lie in its backlog and it demands a lot of focus both in terms of keeping it refined and updated with current situation. Thankfully, it is the topic of the day, and here we will talk more about it.

Product Backlog  

What is a Product Backlog? 

The Product Backlog is the ordered list of requirements of all that is required to successfully deliver it to the client. It contains the prioritized list of requirements that can be detailed or vague and has everything that needs to be done for a particular product. One can visualize it as a big bucket that has all the items/necessities needed for a product to be successful and competitive in nature.  

Who owns the Product Backlog? 

The Product Backlog is primarily handled by the Product Owner who takes care of the client's needs and makes sure the product backlog represents the exact requirement. The product owner is responsible for keeping the backlog healthy and in a state that is readily consumable by the team. The product backlog is never frozen, the items can change as per the demand and market scenario. Anyone can suggest items to be added in the list but the final say will always be on the Product Owner.  

Example of a Product Backlog 

Let’s look at an example to further understand it better: 

Build a mobile application for a local bank so that the users can access the bank on the go. Product Backlog would look like: 

S. No. Requirement Priority
1 Create a sign in page for the users High
2 Create a logout page High
3 Create a home page to land after successful sign in to the application High
4 Create a page for Accounts Medium
5 Create a page for Money Transfer Medium
6 Create a page for Loans Medium
7 Create a page for User Profile Low
8 Create a page for 'Contact Us' section Low

There can be multiple other requirements both front-end and back-end to get this mobile application delivered, but, here for understanding, we are just taking a few of them. Each item in the list will have a priority attached to it, this makes it easy for the development team to pick work once they are done with the one in hand. Product Backlog can also be termed as the master list of requirements. 

Sprint Backlog 

What is a Sprint Backlog? 

Sprint Backlog is a list derived from the product backlog or the master list. When teams start working in Scrum, they have sprints which are a timebox for delivery, it defines when a customer can expect the shipment and at what intervals. The period can range from a week to a months’ timeline. Here, in sprints, the team pulls the work from the product backlog as per the priority and their capacity and put it in a smaller bucket called ‘Sprint Backlog’. It is like delivering the big Product Backlog in chunks called “Sprint Backlog’. The Sprint Backlog can also be defined as a subset of superset ‘Product Backlog’. For a successful product delivery, both are essential, and hence the need to keep them healthy.  

Who owns the Sprint Backlog? 

Sprint backlog is owned by the scrum team, and together, they create their sprint board which consists of the user stories, bugs (if any), and spikes. It is the development team who determines the Sprint Backlog. Here, the Scrum Master can facilitate the Sprint Planning meeting to help the team come up with the Sprint Backlog. The scrum team utilizes the sprint planning meeting to discuss on the sprint goal and the commitment they can make for the upcoming sprint. They pull the items to discuss from the top of the list and create their sprint backlog according to the capacity and complexity of parameters.  

Example of a Sprint Backlog 

So, the sprint backlog is a subset of product backlog and going back to our example let's create a Sprint backlog now: 

S.No. Requirement Priority
1 Create a sign in page for the users High
2 Create a logout page High
3 Create a home page to land after successful sign-in to the application High

In our example, we have pulled the sprint backlog items from the master list which was already in a prioritized state. 

Product Backlog vs Scrum Backlog: Understanding the difference 

The Scrum Master can help the development team understand the difference between Product Backlog and the Sprint Backlog, this can be done through coaching the teams about the process and the Scrum artifacts and can help the Product owner in maintaining a healthy backlog. 

The team uses Product Backlog to create their sprint backlog. During the Sprint planning meeting, the development team should talk about the complexity and the efforts needed to get the job done. They pull the items from the product backlog to the Sprint Backlog to be completed in the sprint time-box. 

How to create a more effective Product Backlog? 

Effective Product Backlog depends on a clear understanding of the result and the need. The Product Owner must clearly define the requirements that have details enough for the team to get a clear picture of what is needed to be done. The product backlog needs to be a thorough list of all the work that must be done to get the project delivered successfully. 

Once a high-level list is created, the development team can help in further refining and creating an exhaustive backlog with all the technical aspects needed to deliver the functional side. Creating a backlog should be a collective team effort, this also helps in bringing about the ownership and collaborative environment amongst the group. 

Though the development team can help the Product Owner in creating a proper efficient Product Backlog, the sole responsibility for the Product Backlog lies with the Product Owner. 

How to create a better Sprint Backlog? 

Once you have a good Product Backlog, pulling out the Sprint Backlog gets easy. Sprint Backlog gets its shape during the sprint planning meeting which is the first thing in a new iteration where the team sits together, either, physically or virtually, to discuss the requirements they can work on in a new sprint. 

Essentially the discussion circles the functionalities, the technical aspect around it, and how much they can load in an iteration. Here, the Scrum Master can help the team with excellent facilitation skills to come up with a sprint goal as a joint team effort. The team pulls up the highest priority items from the product backlog to discuss functionality and complexity, they also converse on the steps they could take to reach the goal. 

What are the benefits of Backlog prioritization? 

Prioritization is one of the critical aspects of a Product Backlog that helps in keeping it in a healthy state. Let’s look at a few of the benefits of prioritizing the backlog: 

  • Helps in the Sprint Planning with the story selection as the Product Backlog is already Prioritized. 
  • Better visibility to pull items during the iteration if the team has the bandwidth. 
  • Effective risk management due to pre-known issues during the grooming of the backlog 
  • Improved supervision of dependencies 
  • Early return of investment as the requirement follows value-based delivery.

Maximize your team's capabilities with our training on Project Management. Optimize workflows, enhance productivity, and attain triumph.

What are the different prioritization techniques or methods of prioritizing the Backlog?

After talking about the Backlog and its benefits, let’s look at the various techniques of prioritization:

MoSCoW Method

Developed by Dai Clegg, this is the most widely used model while prioritizing the backlog. The name itself has the meaning - Must Have, Should Have, Could Have, and Won’t Have.

Insider Tips to Land Your Dream Scrum Master Job

Includes Scrum Resume Sample

Moscow Method

Kano Model

In the 1980s Kano Model was developed by Professor Noriaki Kano. Under the Kano Model, items are categorized according to the requirements and opportunities of the stakeholders. The categories are – ‘Basic expectations’, ‘Satisfiers’, ‘Delighters’.

Kano Method

Stack Ranking

During Stack Ranking the items are placed in the order of priority which starts with one and goes up to the number of items in the backlog. 

Stack Ranking Method

Cost Of Delay

To measure the cost of delay one needs to understand: “What will be the cost per time unit if we delayed delivery?” This is difficult to measure sometimes if you don’t use the correct parameters. This figure states how much money every month it will cost your organization to delay the delivery of the finished project. In practical life, we all have experienced ‘cost of delay’ whether it is starting late for work or starting up late with a new assignment.

Cost Of Delay method

Conclusion

In conclusion, we have seen that both the Product Backlog and Sprint Backlog are different entities tied together to the same group.

Backlogs play a crucial role in software delivery and help the team deliver efficient solutions through effective backlog management tools and techniques. Once teams understand and use their backlog effectively, they are sure to achieve better delivery, serve customers better and enable the management to seize new opportunities.