Ποια είναι η εμπειρία σας στην εκτίμηση εργασιών βάσει χρόνου ή με τη χρήση πλαισίων εργασίας;

The experience in task assessment is present. I use various approaches depending on the context of the task, the team, and the level of uncertainty:

• Expert assessment: Based on my personal experience in performing similar tasks. A quick and effective method for understandable tasks.
• Analogy-based assessment: Comparing the current task with similar tasks previously completed and using their time as a starting point.
• Task decomposition: Breaking a large and complex task into smaller, more understandable subtasks. Evaluating each subtask and summing the results. Helps identify hidden difficulties.
• Planning Poker: A framework often used in Agile teams. Participants evaluate the task anonymously, which helps identify differences in understanding and reach a consensus.

For more complex tasks with high uncertainty, I can use additional methods:

• Three-Point Estimation: Estimating the task under three scenarios: optimistic, pessimistic, and most likely. Allows calculating the expected time and considering risks.
• Buffers: Adding time buffers to estimates to account for unforeseen circumstances and dependencies.

It is important to consider not only the execution time of the task but also:

• Dependencies on other tasks or teams.
• Time for review, testing, and deployment.
• Possible breaks or distractions.

Example of task decomposition "Automating application deployment":

// Automating application deployment
// 1. Choose an automation tool (e.g., Ansible, Terraform) - 2 hours
// 2. Write playbooks/scripts for deployment - 8 hours
// 3. Configure CI/CD pipeline to run deployment - 4 hours
// 4. Test the pipeline in staging environment - 4 hours
// 5. Set up deployment monitoring - 2 hours
// 6. Document the process - 2 hours
// Total: 22 hours (without buffer)

I regularly compare the actual task execution time with estimates and analyze discrepancies to improve the accuracy of future assessments. The accuracy depends on the level of detail of the task and the experience gained in similar projects.