Sobes.tech
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.