22 March 2026 · updated 9 September 2026 · 5 min read
The most expensive project problems are almost never surprises. In hindsight, the warning signs were there. A project sponsor who went quiet. A scope that kept growing. A team that stopped raising risks. A decision that sat unresolved for weeks on the critical path.
The challenge is not that these signals are invisible. It is that most organisations do not have a system to read them systematically — early enough to do something about it.
Project sponsor disengagement is one of the strongest predictors of project failure. The moment a project sponsor starts delegating decisions they previously made themselves, takes longer to respond to escalations, or stops attending key reviews — the project is at risk.
Make project sponsor engagement a monitored metric, not an assumed constant. Track response times. Note changes in participation. Treat declining project sponsor engagement as a risk to be managed, not a background condition to be tolerated.
In Slayt: every pulse update scores stakeholder confidence out of five, alongside timeline, budget and scope. The score is trended across updates and a reading of two or lower raises an alert to book a project sponsor touchpoint. It is a judgement the team records rather than an inbox the platform reads — but it is recorded on a cadence, so a decline appears as a line on a chart instead of a recollection at the post-mortem.
Most projects have a reported RAG status. Fewer have an independently assessed project health score. The gap between these two measures is itself a signal.
A project that consistently reports green while its objective project delivery indicators show amber or red is not a well-performing project. It is a project with a reporting problem — which often becomes a recovery problem three months later.
In Slayt: the project health score is computed from project delivery data — six weighted components, not a status anyone types — and the platform derives its own RAG from it. When a team logs a pulse update, their confidence scores arrive pre-filled from what the data already shows: overdue decisions, slipped project delivery items, high-priority risks. The team then adjusts them. The gap between what the data says and what the team believes is created in front of you, on the same screen.
Formal change control processes are designed to manage large scope changes. They are less effective at catching the incremental scope growth that tends to happen between formal reviews — small additions that each seem reasonable but compound into a project 20-30% larger than originally agreed.
Compare the current project scope definition against the approved baseline at every project review, not just when a formal change request is raised.
In Slayt: baselining a plan locks it, and every change request after that is written as a scope event against that baseline, flagged where it deviates from it. Once a baseline is locked, scope becomes one of the six weighted inputs to the project health score — so growth between formal reviews moves the number, rather than waiting for the next review to be noticed.
One of the clearest leading indicators of project delay is a backlog of unresolved decisions. Decisions that sit outstanding create downstream dependencies that compound over time.
Track every decision that requires sign-off, who owns it, and how long it has been outstanding. Any decision on the critical path that has been unresolved for more than five working days should be escalated immediately.
In Slayt: every decision carries an owner and a due date, and the inbox lists them by how long they have been waiting — “39d overdue”, not “pending”. Any of them can be escalated up a defined chain — project, department head, organisation, executive — to a named person who sees it in their own queue. The nightly sweep emails the owner once a decision passes fourteen days overdue, so nothing depends on somebody remembering to look.
Teams under significant pressure often change their communication behaviour before their project delivery metrics deteriorate. They produce fewer proactive updates. They stop raising risks because they feel nothing is being done about them.
These behavioural signals often precede project delivery problems by four to six weeks. Pay attention to changes in team communication patterns — not just what teams report, but how and how often they are communicating.
In Slayt: reporting behaviour is scored, not merely read. Engagement is 15% of the project health score and is deliberately built so a project that has never reported cannot outscore one that reported and then went quiet. Staleness is measured against the project’s own cadence rather than a fixed week, and risks nobody has reviewed in seven days are surfaced on their own — which is the “team stopped raising risks” signal, made countable.
Individual signals can be misleading in isolation. A missed milestone might be a one-off. A delayed decision might have a legitimate cause. What matters is whether signals are moving together in combinations that have historically preceded failure.
This is where technology adds real value. Manual monitoring can track individual signals. An intelligent system can identify the patterns across multiple signals simultaneously — and name what the combination means for project delivery, including the mechanism behind it, so what you get is a diagnosis rather than a longer list of amber flags.
In Slayt: the seven components are weighted and read together, and what counts as healthy moves with the project’s phase — a discovery project and one mid-delivery are not held to the same expectation. Below a coverage threshold Slayt returns no score at all rather than a thin one, on the principle that a number the data does not support is worse than no number: it gets quoted in a board pack.
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