The Most Valuable Portfolio Management Skill They Never Taught You
About this webinar
What if starting projects sooner is one of the reasons they finish later? Michael Hannan argues that portfolio performance depends not only on which projects are selected, but on how work is allowed to flow through scarce resources. When everything starts at once, high utilization can coexist with long waits, constant switching and slow completion.
In conversation with Stuart Easton, Mike uses bottleneck and traffic analogies, a deliberately simplified three-project portfolio and the Manhattan boat evacuation on 9/11 to explore how work moves through constrained systems. He connects three practical levers: measure closer to value, control how work enters the system by staggering starts around constrained resources, and use prioritization to decide which work should go first.
What you’ll hear
- Look for the system behind the firefighting. Mike maps a vicious cycle in which long projects, shortcuts, defects, weak planning, shifting resources and additional reporting reinforce one another. His argument is that treating those symptoms individually misses the leverage points upstream.
- Measure closer to value, not just activity. Mike challenges KPIs centered on utilization and project cost. When direct value is difficult to measure, he suggests looking at measures such as the rate of project or minimum viable product completions as a closer proxy for the value side of the portfolio.
- Do not confuse high utilization with good flow. Keeping every resource busy can feel efficient while work waits inside the system. Mike uses traffic and bottleneck examples to show why pushing more work into constrained capacity can slow the rate at which projects finish.
- Stagger starts instead of making every approved project active at once. In Mike’s simplified example, three projects pass through the same three specialized resources or teams. Staggering starts around the bottleneck creates a steadier completion cadence: the third project waits before entering the system yet still finishes earlier, and a fourth project fits without adding people or assuming faster individual tasks.
- Combine flow with prioritization. Sequencing controls how work moves through constrained capacity; prioritization helps determine which work should enter first. Stuart and Mike connect the two so higher-value work can receive earlier access without loading every approved project into the system at once.
- Hold capacity back so the bottleneck keeps moving. Mike’s closing example is the 9/11 Manhattan boatlift. Instead of sending every available boat straight to the piers, the Coast Guard gathered them at Governors Island and released them only when docking space opened up. Boats sat idle by design, and that is what kept the evacuation flowing. In Mike’s framing, each boatload was a staggered project, and spare capacity outside the bottleneck is not waste.
- Count value delivered, not cars on the road. Stuart reframes the traffic analogy: what matters is how many people reach their destination, not how many vehicles pass a point. Mike’s deliberately simplified ROI example shows why faster flow pays back more than proportionally, because finishing work sooner and finishing more of it compound each other.
Research in context
In a 1996 Harvard Business Review study of about a dozen product-development organizations, Paul Adler and colleagues found that projects got done faster when organizations took on fewer at once, and that relieving bottlenecks could produce disproportionate time-to-market benefits.
They also showed why high utilization can hide overload. In cases observed, managers planned around 90% of capacity, yet week-to-week workload ranged from roughly 80% to 150%. The average looked manageable; the peaks created the queues.
How this connects to TransparentChoice
Mike’s flow argument raises a practical portfolio question: once more work has been approved than scarce capacity can support at the same time, which work should consume that capacity, and when?
TransparentChoice models initiative resource demand against available capacity by role, team or other resource pool across time periods. Leadership can compare which combination of work fits, then optimize start timing to deliver the most value over time, as leadership has defined it, within that capacity and any dependency or date rules. Periods where demand still runs above capacity stay visible, so leaders can adjust priorities, capacity or assumptions and rerun the plan.
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What does this look like in a real portfolio?
The RNLI case study shows how scarce specialist time, previously hidden work and changing priorities were turned into credible portfolio choices that could be revisited when conditions changed.
How do you get leaders to agree what waits?
Staggering only works if someone accepts going later. In Bridging the Strategy–Execution Gap, Dirk Withake and Stuart Easton cover what to do when a new request arrives and capacity is already committed: make the waterline visible and ask leadership what stops or gives way.
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.
Stuart Easton is Founder & CEO of TransparentChoice. He works with leaders and portfolio teams on decisions about which investments and initiatives to fund, continue, change, defer or stop when priorities compete for limited funding and capacity. His work combines structured decision-making with practical portfolio choices.
