blog
September 06, 2021
•5 min read
Converting Story Points to Hours: Why Doesn't It Work?
Teams using hourly estimation try to give an educated guess about how long a feature or bug fix will take to complete. Often they might do this without a full understanding of the complexity of the Sprint ahead. Agile teams may find that hourly estimation causes trouble for them. If they estimate too many hours and finish early, they look like poor estimators. If they take more hours than the estimate, they look like they lack the skills or speed to work as required. The team may also face scope creep and unforeseen obstacles. All these factors make hourly estimation less than ideal.
Hours
Teams using hourly estimation try to give an educated guess about how long a feature or bug fix will take to complete. Often they might do this without a full understanding of the complexity of the Sprint ahead. Agile teams may find that hourly estimation causes trouble for them. If they estimate too many hours and finish early, they look like poor estimators. If they take more hours than the estimate, they look like they lack the skills or speed to work as required. The team may also face scope creep and unforeseen obstacles. All these factors make hourly estimation less than ideal.
Story Points
Agile teams use Story Points as a metric to measure the difficulty of a particular User Story. (We remember that Agile Sprints use User Stories as their base. The Agile Team describes a feature or bug in plain language from the perspective of the end-user. That description is our User Story). Story Points seek to measure at least three categories:
- The total extent of work
- The complexity of work
- Risks and uncertainty
Related post: Use Cases vs. User Stories: relationships and differences
How do you convert story points to hours?
Some more traditionally-minded organizations might allow teams to estimate in Story Points and then ask them to convert this into hours. Doing this is worse than comparing apples to oranges. It’s more like comparing a smartphone to a car. Agile Teams create Story Points to give measure to work needed. By meeting with the whole team, including junior and senior developers, they estimate their Story Points.
The same story point might take one developer eight hours and another developer four hours. Agile teams set Story Points based on relative difficulty. Story Points are by their nature abstract measures. Teams use Story Points because they allow team members who work at different speeds to estimate and collaborate. The team members can agree that a User Story might take twice as long as a previous and similar Story. They then assign a value double the first one Story. So it’s not a discrepancy of several hours depending on who works on the task, but a Story Point that measures comparative difficulty.
When the organization asks the team to convert Story Points to hours, they lose the benefits of using a conceptual calculation. While abstract, Story Points carry meaning and weight that we cannot force into an hourly estimation
However, if the team works for an external client a hybrid method functions, albeit not ideally. Clients may find it difficult to understand why Agile teams prefer Story Points over hours. The team could use a hybrid approach, where Story Points correspond to a rough number of hours. This approach proves less than ideal, though clients may find it easier to understand.
When developers estimate in hours they might fall short or overshoot their target. Neither way works well for clients or for the team.
Why are Story Points better than hours?
SSavvy Agile teams use Story Points to compare features in the current project with similar features from previous projects. Then the team gains a better understanding of exactly how much work they need to accomplish. The team members then give a value to the Story Point based on the complexity of the task. If the team does not have previous projects, they create a Base Story and Estimation Matrix.
Let’s examine the main benefits of using Story points over hours:
- Story Points are flexible
- Teams track Velocity
- Story Points work better at high-level estimation
- Teams do not have to re-calibrate their estimation if Velocity changes
Agile teams like to use Story Points estimation because Story Points use Velocity. Velocity helps them plan for capacity. Velocity allows them to work faster when possible. Team members spend time discussing how to improve their Velocity and work more efficiently in the Sprint Retrospective. Velocity is changeable during projects and Sprints. By using Story Points, the team doesn’t have to change their estimate if Velocity changes. If they were to estimate with hours the story would be very different.
Story Point Pros and Cons
Pro
Con
The entire team helps with the estimation
Clients can have difficulty understanding Story Points
More collaborative, less finger-pointing at slower-working developers
Sharp learning curve, teams may need several Sprints to estimate Story Points with some precision
Less worry about the clock and the calendar
Tasks examined closely, the difficulty of work easy to see
Teams estimate based on abstract measure, not specific developer’s speed or skill
Hourly Estimation Pros and Cons
Pro
Con
Good for smaller projects where the team understands the task completely
Highlights the weakest or slowest developer
Velocity is not important to estimate
Hourly estimates link directly with a specific developer
Clock and calendar watching create tension and stress for the team
Hourly estimates prove unreliable
Here at Blocshop, we take full advantage of Story Points to prioritize our work. We believe the power of Agile gives us an advantage when it comes to software development. We work fast and under budget because we plan and estimate fluently. If you’d like to learn more about how Blocshop can help you with your software development project, 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
© 2025 Blocshop s.r.o. All rights reserved.
Let's talk!
blog
September 06, 2021
•5 min read
Converting Story Points to Hours: Why Doesn't It Work?
Teams using hourly estimation try to give an educated guess about how long a feature or bug fix will take to complete. Often they might do this without a full understanding of the complexity of the Sprint ahead. Agile teams may find that hourly estimation causes trouble for them. If they estimate too many hours and finish early, they look like poor estimators. If they take more hours than the estimate, they look like they lack the skills or speed to work as required. The team may also face scope creep and unforeseen obstacles. All these factors make hourly estimation less than ideal.
Hours
Teams using hourly estimation try to give an educated guess about how long a feature or bug fix will take to complete. Often they might do this without a full understanding of the complexity of the Sprint ahead. Agile teams may find that hourly estimation causes trouble for them. If they estimate too many hours and finish early, they look like poor estimators. If they take more hours than the estimate, they look like they lack the skills or speed to work as required. The team may also face scope creep and unforeseen obstacles. All these factors make hourly estimation less than ideal.
Story Points
Agile teams use Story Points as a metric to measure the difficulty of a particular User Story. (We remember that Agile Sprints use User Stories as their base. The Agile Team describes a feature or bug in plain language from the perspective of the end-user. That description is our User Story). Story Points seek to measure at least three categories:
- The total extent of work
- The complexity of work
- Risks and uncertainty
Related post: Use Cases vs. User Stories: relationships and differences
How do you convert story points to hours?
Some more traditionally-minded organizations might allow teams to estimate in Story Points and then ask them to convert this into hours. Doing this is worse than comparing apples to oranges. It’s more like comparing a smartphone to a car. Agile Teams create Story Points to give measure to work needed. By meeting with the whole team, including junior and senior developers, they estimate their Story Points.
The same story point might take one developer eight hours and another developer four hours. Agile teams set Story Points based on relative difficulty. Story Points are by their nature abstract measures. Teams use Story Points because they allow team members who work at different speeds to estimate and collaborate. The team members can agree that a User Story might take twice as long as a previous and similar Story. They then assign a value double the first one Story. So it’s not a discrepancy of several hours depending on who works on the task, but a Story Point that measures comparative difficulty.
When the organization asks the team to convert Story Points to hours, they lose the benefits of using a conceptual calculation. While abstract, Story Points carry meaning and weight that we cannot force into an hourly estimation
However, if the team works for an external client a hybrid method functions, albeit not ideally. Clients may find it difficult to understand why Agile teams prefer Story Points over hours. The team could use a hybrid approach, where Story Points correspond to a rough number of hours. This approach proves less than ideal, though clients may find it easier to understand.
When developers estimate in hours they might fall short or overshoot their target. Neither way works well for clients or for the team.
Why are Story Points better than hours?
SSavvy Agile teams use Story Points to compare features in the current project with similar features from previous projects. Then the team gains a better understanding of exactly how much work they need to accomplish. The team members then give a value to the Story Point based on the complexity of the task. If the team does not have previous projects, they create a Base Story and Estimation Matrix.
Let’s examine the main benefits of using Story points over hours:
- Story Points are flexible
- Teams track Velocity
- Story Points work better at high-level estimation
- Teams do not have to re-calibrate their estimation if Velocity changes
Agile teams like to use Story Points estimation because Story Points use Velocity. Velocity helps them plan for capacity. Velocity allows them to work faster when possible. Team members spend time discussing how to improve their Velocity and work more efficiently in the Sprint Retrospective. Velocity is changeable during projects and Sprints. By using Story Points, the team doesn’t have to change their estimate if Velocity changes. If they were to estimate with hours the story would be very different.
Story Point Pros and Cons
Pro
Con
The entire team helps with the estimation
Clients can have difficulty understanding Story Points
More collaborative, less finger-pointing at slower-working developers
Sharp learning curve, teams may need several Sprints to estimate Story Points with some precision
Less worry about the clock and the calendar
Tasks examined closely, the difficulty of work easy to see
Teams estimate based on abstract measure, not specific developer’s speed or skill
Hourly Estimation Pros and Cons
Pro
Con
Good for smaller projects where the team understands the task completely
Highlights the weakest or slowest developer
Velocity is not important to estimate
Hourly estimates link directly with a specific developer
Clock and calendar watching create tension and stress for the team
Hourly estimates prove unreliable
Here at Blocshop, we take full advantage of Story Points to prioritize our work. We believe the power of Agile gives us an advantage when it comes to software development. We work fast and under budget because we plan and estimate fluently. If you’d like to learn more about how Blocshop can help you with your software development project, 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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© 2025 Blocshop s.r.o. All rights reserved.
Let's talk!
blog
September 06, 2021
•5 min read
Converting Story Points to Hours: Why Doesn't It Work?
Teams using hourly estimation try to give an educated guess about how long a feature or bug fix will take to complete. Often they might do this without a full understanding of the complexity of the Sprint ahead. Agile teams may find that hourly estimation causes trouble for them. If they estimate too many hours and finish early, they look like poor estimators. If they take more hours than the estimate, they look like they lack the skills or speed to work as required. The team may also face scope creep and unforeseen obstacles. All these factors make hourly estimation less than ideal.
Hours
Teams using hourly estimation try to give an educated guess about how long a feature or bug fix will take to complete. Often they might do this without a full understanding of the complexity of the Sprint ahead. Agile teams may find that hourly estimation causes trouble for them. If they estimate too many hours and finish early, they look like poor estimators. If they take more hours than the estimate, they look like they lack the skills or speed to work as required. The team may also face scope creep and unforeseen obstacles. All these factors make hourly estimation less than ideal.
Story Points
Agile teams use Story Points as a metric to measure the difficulty of a particular User Story. (We remember that Agile Sprints use User Stories as their base. The Agile Team describes a feature or bug in plain language from the perspective of the end-user. That description is our User Story). Story Points seek to measure at least three categories:
- The total extent of work
- The complexity of work
- Risks and uncertainty
Related post: Use Cases vs. User Stories: relationships and differences
How do you convert story points to hours?
Some more traditionally-minded organizations might allow teams to estimate in Story Points and then ask them to convert this into hours. Doing this is worse than comparing apples to oranges. It’s more like comparing a smartphone to a car. Agile Teams create Story Points to give measure to work needed. By meeting with the whole team, including junior and senior developers, they estimate their Story Points.
The same story point might take one developer eight hours and another developer four hours. Agile teams set Story Points based on relative difficulty. Story Points are by their nature abstract measures. Teams use Story Points because they allow team members who work at different speeds to estimate and collaborate. The team members can agree that a User Story might take twice as long as a previous and similar Story. They then assign a value double the first one Story. So it’s not a discrepancy of several hours depending on who works on the task, but a Story Point that measures comparative difficulty.
When the organization asks the team to convert Story Points to hours, they lose the benefits of using a conceptual calculation. While abstract, Story Points carry meaning and weight that we cannot force into an hourly estimation
However, if the team works for an external client a hybrid method functions, albeit not ideally. Clients may find it difficult to understand why Agile teams prefer Story Points over hours. The team could use a hybrid approach, where Story Points correspond to a rough number of hours. This approach proves less than ideal, though clients may find it easier to understand.
When developers estimate in hours they might fall short or overshoot their target. Neither way works well for clients or for the team.
Why are Story Points better than hours?
SSavvy Agile teams use Story Points to compare features in the current project with similar features from previous projects. Then the team gains a better understanding of exactly how much work they need to accomplish. The team members then give a value to the Story Point based on the complexity of the task. If the team does not have previous projects, they create a Base Story and Estimation Matrix.
Let’s examine the main benefits of using Story points over hours:
- Story Points are flexible
- Teams track Velocity
- Story Points work better at high-level estimation
- Teams do not have to re-calibrate their estimation if Velocity changes
Agile teams like to use Story Points estimation because Story Points use Velocity. Velocity helps them plan for capacity. Velocity allows them to work faster when possible. Team members spend time discussing how to improve their Velocity and work more efficiently in the Sprint Retrospective. Velocity is changeable during projects and Sprints. By using Story Points, the team doesn’t have to change their estimate if Velocity changes. If they were to estimate with hours the story would be very different.
Story Point Pros and Cons
Pro
Con
The entire team helps with the estimation
Clients can have difficulty understanding Story Points
More collaborative, less finger-pointing at slower-working developers
Sharp learning curve, teams may need several Sprints to estimate Story Points with some precision
Less worry about the clock and the calendar
Tasks examined closely, the difficulty of work easy to see
Teams estimate based on abstract measure, not specific developer’s speed or skill
Hourly Estimation Pros and Cons
Pro
Con
Good for smaller projects where the team understands the task completely
Highlights the weakest or slowest developer
Velocity is not important to estimate
Hourly estimates link directly with a specific developer
Clock and calendar watching create tension and stress for the team
Hourly estimates prove unreliable
Here at Blocshop, we take full advantage of Story Points to prioritize our work. We believe the power of Agile gives us an advantage when it comes to software development. We work fast and under budget because we plan and estimate fluently. If you’d like to learn more about how Blocshop can help you with your software development project, 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
© 2025 Blocshop s.r.o. All rights reserved.