
Estimating
Universities have conducted studies to determine the accuracy of estimates versus actual time taken to complete tasks. They concluded that tasks take, on average, over twice as long to complete compared to the estimates. Optimism and not considering potential issues and blockers contribute to the problems with underestimating.
The studies found that people are able to estimate other people’s tasks more accurately than their own. Not using historic data to assist with estimating is another cause of poor estimating.
The following points will help when you are estimating effort for a project:
The following is not an explicit part of some methodologies, but it is worth mentioning in regard to estimates for the project. Don’t forget to include the relevant activities in the estimates and overall timescales:
Think of all the dependencies the Scrum team has and include representatives from the teams in the planning meeting.
There is debate about when estimates for the backlog items should be completed. I’ve found that it is beneficial to estimate them as early as possible and as far forward as you can. This allows you to sanity check the total effort required for each phase and the complete project at any early stage in the lifecycle. It also highlights areas where there are unknowns. For instance, the team may be working on sprint one while implementing a new API in sprint four. There may be a high level of uncertainty about the effort required to implement it. By looking forward, you can identify the unknowns and gather additional technical information. This improves the accuracy of the estimates and helps mitigate delivery risks.
There are different methods a team can use, including T-shirt size, points, affinity mapping, dot voting, bucket systems and others.
In summary, ensure you do everything possible to estimate projects accurately. You do not want to go back to the stakeholders multiple times for additional budget. Good luck!
Project estimating is included in our unique Advanced Project Management course.
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