Portfolio & delivery governance · Field note

A PMO dashboard should show investment health

TL;DR

A CFO asks the simplest question about the biggest investment on the page: if we stopped this today, what would we lose? The deck knows the burn rate, the milestone variance, and the issue count. It cannot answer.

What the paper develops

Here is a scene I have watched play out in a portfolio review. The deck is long and accurate in every cell. Near the end, a CFO asks a simple question about the largest investment on the page: if we stopped this today, what would we actually lose?

Nobody can answer from the deck. It knows the burn rate, the milestone variance, and the issue count. It does not know what the money is still expected to buy, how confident anyone is, or what decision would change the outcome.

A deck built from whatever the project tools can export can look like that one. It describes delivery activity honestly and supports investment decisions poorly.

Status asks: is the work proceeding as planned? Health asks: is this still a good use of money, people, and attention? A project can be green on plan and dead on value. It can be red on plan and still the best available path to an outcome that matters. A McKinsey and Oxford study of large IT projects measured the shortfall in value separately from the cost and schedule overruns. A page that tracks only cost and schedule has no place to show it.

One page per investment, built from six lenses. A lens is a question asked of every investment, kept only because its answer changes a decision a leader can still make. The six are a checklist by design, and they are this paper's own design. The paper does not claim they are the only set.

Outcome health

What operating result is the money buying, and is that path still believable? Delivery progress is not value progress. A build can be eighty percent complete while the need has changed. The decision is continue, reshape, or stop, judged on what remains to gain against what remains to spend, never on money already spent.

Confidence health

Are the case's premises rising, stable, falling, or untested as evidence lands? A forecast quoted to the same decimal for six review cycles has not been tested again. The decision is sizing: expand the commitment where confidence has been earned, and bound the next round of funding where it has not.

Capacity health

Do the people this investment assumes actually exist for it? An investment that depends on unavailable scarce people is unhealthy even when its schedule still looks recoverable. The decision is a portfolio one: sequence the work, narrow it, or release capacity on purpose.

Adoption and operating health

Is the receiving operation becoming able to use and sustain the change? Prefer what it did to what it said: procedures changed, pilot users returning unprompted, a support rota staffed by its own people. The decision is how to roll out: slow it, stage it, or reinforce the receiving side.

Dependency and risk health

Every material dependency with an owner, what must be in place, a latest useful date (the last point at which the commitment can still change the work), and a consequence if it fails. One case this lens targets is the dependency that slips again and again while the forecast never changes. The decision is timing: invoke a fallback while the alternative still exists.

Decision readiness

What choice does this investment need, from whom, by when, and what does waiting cost? Each open decision is an entry from a decision inventory, covered in the paper on decision friction. The paper expects that a forum that opens with the queue spends its time deciding, and one that opens with status spends it being briefed.

Convert the deck you already have by pruning first. Retire any field that has not changed a decision in two review cycles. Then put the six lenses on one page per investment, starting with the largest, and let the page replace that investment's status slides. No composite score: the disagreements between lenses are the information.

The white paper works through each lens, reads an invented investment through the view, sets out where the model stops, gives the conversion steps, and lists the signals that show whether the page is steering.

What to do next

Put six questions on one page per investment. What is the money buying (outcome)? Are the assumptions holding (confidence)? Do the people exist (capacity)? Can the receiving team use it (adoption)? Will outside commitments hold (dependency)? Which decision is due (decision readiness)? Retire any field that has not changed a decision in two review cycles.

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Inside the white paper

  • Why an accurate status deck cannot answer what you would lose by stopping
  • Six lenses for each investment: outcome, confidence, capacity, adoption, dependency, and decision readiness
  • Where the model stops, how to convert the deck you already have, and how to tell the page is working

Sources and notes

  1. Project Management Institute, "Pulse of the Profession® 2026: Driving Success in Complex Projects," May 2026 — PMI's 2026 survey reports that 61 percent of project professionals experienced some form of value loss on complex projects. The figure is self-reported and concerns complexity, not dashboards.
  2. Michael Bloch, Sven Blumberg, and Jürgen Laartz, "Delivering large-scale IT projects on time, on budget, and on value," McKinsey & Company, October 1, 2012 — McKinsey and Oxford compared predicted and actual budgets, schedules, and benefits for more than 5,400 IT projects. For large ones the averages were 45 percent over budget, 7 percent over time, and 56 percent less value than predicted. The three figures are not ranked, and the study does not say whether projects on budget delivered the value.
  3. U.S. Government Accountability Office, "IT Dashboard: Agencies Are Managing Investment Risk, but Related Ratings Need to Be More Accurate and Available," GAO-14-64, December 12, 2013 — GAO checked 80 federal IT investments on the IT Dashboard against their supporting documents: 53 risk ratings were consistent, 20 partly, and 7 not. Late updates and differing ways of tracking performance were among the causes.
  4. Occupational Safety and Health Administration, "Using Leading Indicators to Improve Safety and Health Outcomes," U.S. Department of Labor — OSHA defines leading indicators as proactive, preventive measures and lagging indicators as measures of events that already happened. The setting is workplace safety, and the paper borrows the terms for investments.
  5. Bent Flyvbjerg, "Quality Control and Due Diligence in Project Management: Getting Decisions Right by Taking the Outside View," 2013 — Flyvbjerg reports that front-end estimates of costs and benefits typically differ significantly from actual results, so they predict value and viability poorly. His evidence comes mostly from large public projects.