blog
September 01, 2021
•5 min read
The Scrum Sprint cycle explained
Agile teams use Scrum to organize their development process. Scrum is a framework using Agile principles to develop and deliver software projects. Scrum follows three Agile principles: transparency, inspection and adaptation. Software development teams use Scrum as an incremental and iterative tool. Teams using Scrum usually contain three major players:
Usually, a Scrum consists of several Sprints. Sprints and time-blocked between bursts of work that last between one and four weeks. The Scrum Team sets the Sprint goals in the Sprint planning meeting. Scrum usually contains a few fundamental components: Scrum Roles, Artifacts and Ceremonies. Let’s take a close look at these three components of Scrum.
Related post: Scrum vs. Extreme Programming (XP): What’s the difference?
Scrum Teams usually have a few key players, these are the Scrum Roles:
Next, we have Scrum Artifacts. Scrum Artifacts include:
Read more on the differences between Product Backlog and Sprint Backlog.
Finally, we have Scrum Ceremonies. Scrum Ceremonies include the basic meetings of the Scrum process. They usually include:
So, what exactly is an Agile Sprint cycle?
Agile Scrum teams break down large development projects into small bursts of activity, called Sprints. A Sprint in Agile is a short, time-boxed period where a software development team completes work. They choose which items and fixes they will tackle in Sprint Planning Meetings. The Sprint cycle sits at the very center of Agile methodology.
What steps do Agile teams follow in the Sprint cycle?
A Scrum Sprint cycle usually consists of five steps:
Tips for successful Scrum Sprints
Here at Blocshop, we understand the power of Scrum and Agile. We organize our teams to harness the best of what they offer to deliver our projects on time and under budget. If you would like to learn more, please do get in touch.
Learn more from our insights

NOVEMBER 3, 2025 • 7 min read
CE marking software under the EU AI Act – who needs it and how to prepare a conformity assessment
From 2026, AI systems classified as high-risk under the EU Artificial Intelligence Act (Regulation (EU) 2024/1689) will have to undergo a conformity assessment and obtain a CE marking before being placed on the EU market or put into service.

October 19, 2025 • 7 min read
EU and UK AI regulation compared: implications for software, data, and AI projects
Both the European Union and the United Kingdom are shaping distinct—but increasingly convergent—approaches to AI regulation.
For companies developing or deploying AI solutions across both regions, understanding these differences is not an academic exercise. It directly affects how software and data projects are planned, documented, and maintained.

October 9, 2025 • 5 min read
When AI and GDPR meet: navigating the tension between AI and data protection
When AI-powered systems process or generate personal data, they enter a regulatory minefield — especially under the EU’s General Data Protection Regulation (GDPR) and the emerging EU AI Act regime

September 17, 2025 • 4 min read
6 AI integration use cases enterprises can adopt for automation and decision support
The question for most companies is no longer if they should use AI, but where it will bring a measurable impact.
The journey to your
custom software
solution starts here.
Services
Let's talk!
blog
September 01, 2021
•5 min read
The Scrum Sprint cycle explained
Agile teams use Scrum to organize their development process. Scrum is a framework using Agile principles to develop and deliver software projects. Scrum follows three Agile principles: transparency, inspection and adaptation. Software development teams use Scrum as an incremental and iterative tool. Teams using Scrum usually contain three major players:
Usually, a Scrum consists of several Sprints. Sprints and time-blocked between bursts of work that last between one and four weeks. The Scrum Team sets the Sprint goals in the Sprint planning meeting. Scrum usually contains a few fundamental components: Scrum Roles, Artifacts and Ceremonies. Let’s take a close look at these three components of Scrum.
Related post: Scrum vs. Extreme Programming (XP): What’s the difference?
Scrum Teams usually have a few key players, these are the Scrum Roles:
Next, we have Scrum Artifacts. Scrum Artifacts include:
Read more on the differences between Product Backlog and Sprint Backlog.
Finally, we have Scrum Ceremonies. Scrum Ceremonies include the basic meetings of the Scrum process. They usually include:
So, what exactly is an Agile Sprint cycle?
Agile Scrum teams break down large development projects into small bursts of activity, called Sprints. A Sprint in Agile is a short, time-boxed period where a software development team completes work. They choose which items and fixes they will tackle in Sprint Planning Meetings. The Sprint cycle sits at the very center of Agile methodology.
What steps do Agile teams follow in the Sprint cycle?
A Scrum Sprint cycle usually consists of five steps:
Tips for successful Scrum Sprints
Here at Blocshop, we understand the power of Scrum and Agile. We organize our teams to harness the best of what they offer to deliver our projects on time and under budget. If you would like to learn more, please do get in touch.
Learn more from our insights

NOVEMBER 3, 2025 • 7 min read
CE marking software under the EU AI Act – who needs it and how to prepare a conformity assessment
From 2026, AI systems classified as high-risk under the EU Artificial Intelligence Act (Regulation (EU) 2024/1689) will have to undergo a conformity assessment and obtain a CE marking before being placed on the EU market or put into service.

October 19, 2025 • 7 min read
EU and UK AI regulation compared: implications for software, data, and AI projects
Both the European Union and the United Kingdom are shaping distinct—but increasingly convergent—approaches to AI regulation.
For companies developing or deploying AI solutions across both regions, understanding these differences is not an academic exercise. It directly affects how software and data projects are planned, documented, and maintained.

October 9, 2025 • 5 min read
When AI and GDPR meet: navigating the tension between AI and data protection
When AI-powered systems process or generate personal data, they enter a regulatory minefield — especially under the EU’s General Data Protection Regulation (GDPR) and the emerging EU AI Act regime

September 17, 2025 • 4 min read
6 AI integration use cases enterprises can adopt for automation and decision support
The question for most companies is no longer if they should use AI, but where it will bring a measurable impact.
The journey to your
custom software
solution starts here.
Services
Head Office
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Let's talk!
blog
September 01, 2021
•5 min read
The Scrum Sprint cycle explained

Agile teams use Scrum to organize their development process. Scrum is a framework using Agile principles to develop and deliver software projects. Scrum follows three Agile principles: transparency, inspection and adaptation. Software development teams use Scrum as an incremental and iterative tool. Teams using Scrum usually contain three major players:
Usually, a Scrum consists of several Sprints. Sprints and time-blocked between bursts of work that last between one and four weeks. The Scrum Team sets the Sprint goals in the Sprint planning meeting. Scrum usually contains a few fundamental components: Scrum Roles, Artifacts and Ceremonies. Let’s take a close look at these three components of Scrum.
Related post: Scrum vs. Extreme Programming (XP): What’s the difference?
Scrum Teams usually have a few key players, these are the Scrum Roles:
Next, we have Scrum Artifacts. Scrum Artifacts include:
Read more on the differences between Product Backlog and Sprint Backlog.
Finally, we have Scrum Ceremonies. Scrum Ceremonies include the basic meetings of the Scrum process. They usually include:
So, what exactly is an Agile Sprint cycle?
Agile Scrum teams break down large development projects into small bursts of activity, called Sprints. A Sprint in Agile is a short, time-boxed period where a software development team completes work. They choose which items and fixes they will tackle in Sprint Planning Meetings. The Sprint cycle sits at the very center of Agile methodology.
What steps do Agile teams follow in the Sprint cycle?
A Scrum Sprint cycle usually consists of five steps:
Tips for successful Scrum Sprints
Here at Blocshop, we understand the power of Scrum and Agile. We organize our teams to harness the best of what they offer to deliver our projects on time and under budget. If you would like to learn more, please do get in touch.
Learn more from our insights

NOVEMBER 20, 2025 • 7 min read
The ultimate CTO checklist for planning a custom software or AI project in 2026
In 2026, planning a successful project means understanding five essential dimensions before any code is written. These five questions define scope, architecture, delivery speed, and budget more accurately than any traditional project brief.
NOVEMBER 13, 2025 • 7 min read
The quiet cost of AI: shadow compute budgets and the new DevOps blind spot
AI projects rarely fail because the model “isn’t smart enough.” They fail because the money meter spins where few teams are watching: GPU hours, token bills, data egress, and serving inefficiencies that quietly pile up after launch.

NOVEMBER 3, 2025 • 7 min read
CE marking software under the EU AI Act – who needs it and how to prepare a conformity assessment
From 2026, AI systems classified as high-risk under the EU Artificial Intelligence Act (Regulation (EU) 2024/1689) will have to undergo a conformity assessment and obtain a CE marking before being placed on the EU market or put into service.

October 19, 2025 • 7 min read
EU and UK AI regulation compared: implications for software, data, and AI projects
Both the European Union and the United Kingdom are shaping distinct—but increasingly convergent—approaches to AI regulation.
For companies developing or deploying AI solutions across both regions, understanding these differences is not an academic exercise. It directly affects how software and data projects are planned, documented, and maintained.

October 9, 2025 • 5 min read
When AI and GDPR meet: navigating the tension between AI and data protection
When AI-powered systems process or generate personal data, they enter a regulatory minefield — especially under the EU’s General Data Protection Regulation (GDPR) and the emerging EU AI Act regime

September 17, 2025 • 4 min read
6 AI integration use cases enterprises can adopt for automation and decision support
The question for most companies is no longer if they should use AI, but where it will bring a measurable impact.
NOVEMBER 13, 2025 • 7 min read
The quiet cost of AI: shadow compute budgets and the new DevOps blind spot
AI projects rarely fail because the model “isn’t smart enough.” They fail because the money meter spins where few teams are watching: GPU hours, token bills, data egress, and serving inefficiencies that quietly pile up after launch.
NOVEMBER 13, 2025 • 7 min read
The quiet cost of AI: shadow compute budgets and the new DevOps blind spot
AI projects rarely fail because the model “isn’t smart enough.” They fail because the money meter spins where few teams are watching: GPU hours, token bills, data egress, and serving inefficiencies that quietly pile up after launch.

N 19, 2025 • 7 min read
CE Marking Software Under the EU AI Act – Who Needs It and How to Prepare a Conformity Assessment
When AI-powered systems process or generate personal data, they enter a regulatory minefield — especially under the EU’s General Data Protection Regulation (GDPR) and the emerging EU AI Act regime

NOVEMBER 13, 2025 • 7 min read
The quiet cost of AI: shadow compute budgets and the new DevOps blind spot
When AI-powered systems process or generate personal data, they enter a regulatory minefield — especially under the EU’s General Data Protection Regulation (GDPR) and the emerging EU AI Act regime

N 19, 2025 • 7 min read
CE Marking Software Under the EU AI Act – Who Needs It and How to Prepare a Conformity Assessment
When AI-powered systems process or generate personal data, they enter a regulatory minefield — especially under the EU’s General Data Protection Regulation (GDPR) and the emerging EU AI Act regime

NOVEMBER 13, 2025 • 7 min read
The quiet cost of AI: shadow compute budgets and the new DevOps blind spot
When AI-powered systems process or generate personal data, they enter a regulatory minefield — especially under the EU’s General Data Protection Regulation (GDPR) and the emerging EU AI Act regime
The journey to your
custom software solution starts here.
Services