Junior — Middle
What approaches have you used to eliminate errors in task complexity estimation?
sobes.tech AI
Answer from AI
To address errors in estimating task complexity in C# projects, I used several approaches:
- Task decomposition: breaking down a large task into smaller subtasks to more accurately estimate each part.
- Team discussion: collaborative discussion of requirements and potential technical difficulties helped identify hidden issues.
- Using historical data: analyzing the time and resources spent on similar tasks in the past.
- Prototyping: creating minimal prototypes or PoCs to understand the complexity of implementation.
- Time buffer: adding a buffer for unforeseen difficulties.
Example: if the task is to implement a new module with API integration, I first estimate separately:
- API study — 1 day
- Basic logic development — 3 days
- Error handling and testing — 2 days
Summing up, I get a more accurate estimate than trying to estimate the entire task at once.