How To Succeed At Deliverable Scheduling

 

By Kevin Korterud

When I first started as a technology project manager, it was not uncommon for a project to have just one deliverable. All of the tasks in the project created the path that led to the single deliverable, which in many cases was a program, report or screen. Life used to be so easy!

As projects became more complex, the need grew for multiple project deliverables that lead to a complete solution. Deliverables now represent the “building blocks” that form a key foundational element of any project.

Whereas scheduling tasks is a fairly straightforward process that involves capturing durations, resources and successor/predecessor networks, scheduling deliverables comes with its own set of complexities. Deliverables don’t always behave in a linear manner like tasks­—so special considerations come into play with their scheduling. In addition, there are typically people and expectation factors that need to be part of a deliverable scheduling model.

Here are three essential reminders for properly scheduling deliverables:   

1. Deliverables Involve a Package of Tasks

Whereas tasks are singular items that stand alone in a work plan, deliverables have a few extra packaging steps in their path to completion.

One of the most dangerous scheduling mistakes to make with deliverables is to have a single task in a work plan that represents the deliverable. This is because of the variation in duration and effort that it takes to complete a deliverable.

Deliverables have a natural path to completion that involves a package of tasks, whose dynamics differ from normal tasks in a work plan. Project managers need to include these extra tasks that chart the lifecycle of a deliverable from initiation to completion.

For example, a sample set of deliverable task packaging would appear as follows:

You can tell from the above table that prior to scheduling deliverable task packages, project managers need to have a deliverable governance process in place. A deliverable governance process that identifies specific deliverable reviewers and a single approver are key to the effective scheduling of deliverables.

2. Deliverables May Require Task-like Linkages

We are all familiar with creating predecessor or successor linkages between tasks to form a linear series of work needed to achieve an outcome. Those linkages serve to drive schedule changes as prevailing project conditions occur.

Deliverables can require the same sort of linkages found in tasks. For example, if you have deliverables that lead to the creation of a marketing web page that involves multiple supplier deliverables, selected tasks in the deliverable package can contain task linkages. These linkages impose conditions which determine the pace at which related deliverables can be completed.

Let’s say there are three design documents from different suppliers required to create an overall design document. The build of the overall design document cannot finish before those three supplier design documents are all approved. So in the work plan, delays and schedule movements in the supplier design deliverables will drive the true completion date of the overall design document.

3. Resource Availability Impacts Deliverables

In addition to the scenario of having deliverables with dependencies, it is just as likely to have a set of deliverables that do not have any dependencies at all. These deliverables need to be completed by the end of the project but do not directly figure into the final outcome of the project. These are often process improvement deliverables that are needed for future projects that are not ready for execution.

When a project manager has a slate of unrelated deliverables, the optimal approach is to bundle them into agile-like sprints. The content of each deliverable sprint is determined by a balance of resource availability for the people who build, review and approve deliverables, as well as any form of relative priority. For example, if deliverable reviewers have low availability during a scheduled deliverable sprint, those deliverables can be pushed to a subsequent deliverable sprint.

Priority can also determine the content of deliverable sprints. Higher priority deliverables would displace lower priority deliverables to future sprints, even if work has begun on those deliverables. For example, if there is a strong need for a certain tool to be used by multiple projects, those deliverables would move into the current deliverable sprint. The deliverable sprint process allows for agility, while balancing value created from the deliverables.

As I shared earlier, life was so much easier when projects created one deliverable. Different times demand different approaches to managing deliverable schedules—especially on large transformations where there could be hundreds of dependent and independent deliverables. The last thing anyone wants to do is insufficiently manage deliverables: Leaving out one of those “building blocks” might cause the house to fall over.

What tips do you have for deliverable scheduling in today’s project ecosystem? Share your thoughts in the comments below.