The Goldilocks of Project Portfolios
About this webinar
How much capacity detail do you need to make a useful portfolio decision?
Mike Hannan has worked at both extremes. Detailed, resource-loaded project plans can be powerful, but they are difficult to build and keep current. Simple rules can make planning easier, but become less reliable as the portfolio grows.
Finding the middle ground
Mike starts with flow. His bottleneck example shows why starting too much work at once can create congestion, and how staggering starts around a scarce resource can produce more completed work with the same resources.
At first, Mike thought prioritisation plus staggered starts was the answer. In practice, it was hard to sustain. Priorities were contested, a few weak project plans could distort the resource picture, and the model needed constant upkeep.
Even identifying the right constraint can be difficult. In one client example, a large IT organisation paused and resequenced work around senior architects it believed were the bottleneck. A month later, nothing had improved. The real constraint was upstream in the business. Mike's point is that testing the assumption in a model could have exposed the problem before making a costly organisational change.
How much detail is enough?
Dan Dures demonstrates a portfolio-level approach in TransparentChoice. The demo and Q&A turn the Goldilocks idea into a few practical choices:
- Start with less data than you might expect. A value score for each project and a few scarce resource pools may be enough to begin. Capacity can be expressed in person-months, for example, rather than detailed named-person schedules.
- Choose before you sequence. A prioritised list still has to become a portfolio that the available capacity can support.
- Treat prioritisation as a threshold, not a one-way gate. If a project slips or becomes more expensive, update the assumptions and ask whether it still justifies the commitment.
- Put favoured projects into portfolio context. Instead of asking whether one sponsor's project should go ahead in isolation, compare the portfolio that includes it with the alternatives.
Research in context
Mike's middle ground has a close parallel in operations research. In a 2007 Omega paper on multi-project organisations, Hans, Herroelen, Leus and Wullink separate tactical rough-cut capacity planning, where organisations decide which projects to take on and when, from detailed operational scheduling. They note that detailed activity information becomes available only gradually, and argue that different planning levels require different methods and levels of detail rather than one all-encompassing model.
How this connects to TransparentChoice
TransparentChoice works at the level of detail this webinar argues for. Capacity is modelled by role, skill, team or other resource pool across time periods, rather than through named-person schedules, and combined with leadership priorities to compare which combinations of work can actually be supported.
Utilisation and shortfalls are visible across those pools, so you can see where capacity is under pressure and test what changes if availability shifts. Fixing a favoured project into the portfolio shows what it displaces elsewhere. For the selected work, start timing can be optimised against time-phased capacity and recomputed when priorities, estimates or available capacity change, with any remaining overload periods kept visible for leadership to resolve.
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How do you plan capacity at this level in practice?
In Capacity Planning for PMOs Made Real, Edita Kemzūraitė and Joe Pusz separate forward capacity planning by role and skill from assigning named people, and show how to check whether an apparent resource shortage really starts upstream in portfolio load or priorities.
What happens when the model shows something has to give way?
In Bridging the Strategy–Execution Gap, Dirk Withake and Stuart Easton cover what to do when a new executive request arrives and capacity is already committed: make the current demands visible and ask leadership what stops or gives way.
What does this look like when priorities and scarce capacity change?
The RNLI case study shows an applied portfolio example: hidden work and scarce specialist capacity were brought into the decision, several credible portfolio choices were compared, and the portfolio was revisited when priorities changed.
Speakers
Mike Hannan is a co-author of the PMBOK® Guide – Eighth Edition and lead author of The CIO’s Guide to Breakthrough Project Portfolio Performance. He brings more than 25 years of project management experience across portfolio, programme, process and technology roles, including work with government agencies and Fortune 500 companies.
Dan Dures is VP of Customer Success at TransparentChoice. With senior leadership experience at Just Eat, dunnhumby, and Home Retail Group, he brings expertise in data, strategy, and customer insight. He helps PMO leaders focus on projects that deliver real strategic value.
