Insight from Agora Consultants

Objective: Maintain high project data quality

In my previous post, Metrics for Successful Project Delivery, I mentioned that I am kicking off a series of posts that provide objectives and supporting metrics for  managing the delivery of projects. The objective “maintain high project data quality” is a key objective to implement first. Without it, you cannot depend on any of the other metrics since people may not trust the data. Data quality is affected by a number of factors. Time sheets are updated by team members, schedules are maintained by project managers, risks and issues may be updated by the whole team. This information is utilized to understand the health of a project. It needs to be entered accurately and in a timely fashion in order to have high data quality. This information is created and maintained by people. Simply by monitoring the quality of the data you can encourage (or discourage) behaviours such as entering time sheets on time. The table below shows examples of metrics that drive project quality and the meaning of them based on people`s roles. Role Context Metrics PMO Director Stakeholders will only trust reports about the projects if they trust the data. Number of project plans overdue to be published Number of projects with hours scheduled in the past Number of project with overdue timesheets Project Manager The project manager produces much of the data that drives other metrics Number of hours overdue for publishing the project plan Number of unscheduled hours Number of resources late on time submission Team Member Teams members are “end points” of measurement for tasks within projects. Number of days late on providing schedule updates. The final step in implementing the objective is to create a key performance indicator from the metric. This involves taking the actual value and comparing it to the target value. The table people shows an example for one of the metrics. Number of hours overdue for publishing the project plan (target) Indicator 0 Green < 4 Yellow > 4 Red Implementing the objective “maintain high project data quality” is the foundation for ensuring all other objectives for delivering projects have strong supporting metrics.

Metrics for Successful Project Delivery

With the start of the New Year I’ll be kicking off a series of related posts. Through January, the Business Intelligence posts will be focused on going deep with the key metrics required for delivering projects. As a start, you can read the web article on Performance Management for the PMO or you can read the full whitepaper. The difference between these posts and the content in the article is that for each metric discussed, I will provide some guidance on setting the targets for your organization. The strategy map below provides the model which I will follow. I’ll take some of the key objectives from the strategy map and outline the metrics different roles in an organization need to support the objectives.   Why bothering measuring? By having metrics in place your organization will have greater transparency and understanding of how well resources (financial and people) are being utilized in your organization. Through this understanding better decisions can be made leading to increased company value.