The size of a work package always raises interesting conversations and discussions. The size of a work package always seems to create a lot of discussion. My typical response to queries of size becomes another question to be answered. The question I ask is, “To what degree of accuracy do you want to measure your project?” If you want your cost to be within 5% of variance then you must plan each work-package to a level where you feel comfortable that you can estimate the cost to within 5%. The same holds true when considering the amount of time that each work-package will take to complete.There is no doubt that the smaller the work package becomes the more accurately we can estimate the work. This is the whole premise behind the creation of a work breakdown structure and the basis for the value added by sound project management practices.But there is another issue with which we must contend. That is our ability to measure each work package once the project gets moving. The question here becomes, “How long do I want to wait before I realize that I am late?” Let’s take the example of a work package that is planned to complete in 10 business days. When we estimated this work we were confident that we had estimated this task to within 10 percent. Therefore we expect this task to take no less than 9 days and no more than 11 days to complete.To be successful here we must be able to confirm the actual start of the work. We must also be able to measure the percent complete as we execute the work. If we are not confident in our measurement then our estimated variance can exceed the 10% we originally planned. So when we do our planning it is just as important to determine our measurement technique as it is to determine our estimates. Often our measurement technique within work-packages, even for a deliverables based plan, is merely by “asking” the people doing the work, “How well are you doing.” This then becomes an issue of trust and the savvy PM knows who to trust and who they need to watch closely. Not everyone can be trusted 100%. I might even go as far as to say that no one can be trusted 100%. There are a few that can be trusted much less than 100%. We all know them, we see them every day.So I go back to the original question, “How long do I want to wait before I realize that I am late?” In the worst case scenario the work package should be no longer in duration than the amount of time which we can afford to be late. Therefore each work package would complete before we are beyond our limit of being late. There is much more to this topic but this is where I will leave this topic for today. I will create a follow up with more thoughts for next week. Send me your thoughts so I can incorporate those in my next posting. Related content feature LexisNexis rises to the generative AI challenge With generative AI, the legal information services giant faces its most formidable disruptor yet. That’s why CTO Jeff Reihl is embracing and enhancing the technology swiftly to keep in front of the competition. By Paula Rooney Dec 01, 2023 6 mins Generative AI Generative AI Generative AI feature 10 business intelligence certifications and certificates to advance your BI career From BI analysts and BI developers to BI architects and BI directors, business intelligence pros are in high demand. Here are the certifications and certificates that can give your career an edge. By Thor Olavsrud Dec 01, 2023 8 mins Certifications Business Intelligence IT Skills brandpost Sponsored by Huawei Beyond gigabit: the need for 10 Gbps in business networks Interview with Liu Jianning, Vice President of Huawei's Data Communication Marketing & Solutions Sales Dept By CIO Online Staff Nov 30, 2023 9 mins Cloud Architecture Networking brandpost Sponsored by SAP Generative AI’s ‘show me the money’ moment We’re past the hype and slick gen AI sales pitches. Business leaders want results. By Julia White Nov 30, 2023 5 mins Artificial Intelligence Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe