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Why Projects Go Over Budget: The 7 Root Causes of Cost Overruns

Cost overruns are not random. They follow predictable patterns rooted in human psychology, poor process, and, sometimes, deliberate misrepresentation. PMI reports 52% of projects experience scope creep, and inaccurate initial estimates are the single most common starting point for the rest.

The Academic Framework: Flyvbjerg's Four Types

Professor Bent Flyvbjerg of Oxford's Said Business School has studied megaproject failures across 70 years of data. His research identifies four distinct categories of overrun cause. Understanding which type applies to your project determines the correct intervention.

1. Technical

Forecasting methods are flawed, data is incomplete, or the technology is genuinely novel. The estimators simply did not have good information. This is the most forgiving cause: it can be reduced with better methodology, historical data, and reference class forecasting.

2. Economic

Economic self-interest and weak incentives to estimate accurately. Contractors, suppliers, and even the estimating team often gain from a project going ahead, so there is little reward for a sober forecast and little penalty for an optimistic one.

3. Psychological

Optimism bias and the planning fallacy cause teams to systematically underestimate cost and duration. Even experienced professionals exhibit this bias. Kahneman and Tversky's 1979 research showed this is hardwired into human cognition, not a correctable error.

4. Political

Strategic misrepresentation: project promoters deliberately understate costs to secure political or funding approval. This is not an accident. Once committed, the project is 'too big to fail' and costs spiral without accountability. Flyvbjerg finds this the most powerful explanation of the four.

Source: Flyvbjerg, Holm and Buhl (2002), "Underestimating Costs in Public Works Projects: Error or Lie?", Journal of the American Planning Association 68(3); see also Flyvbjerg (2014), "What You Should Know About Megaprojects and Why: An Overview," Project Management Journal.


The 7 Operational Causes (With Data)

1

Inaccurate Initial Estimates

The most common starting point for overruns

The project starts with a budget that was never realistic. Either the estimator lacked historical data, used methods unsuited to the project's complexity, or was under pressure to present an optimistic number. Early estimates are wide by design, and the industry classification says so explicitly: under AACE International's Recommended Practice 18R-97, a Class 5 concept-screening estimate (0 to 2% of the project defined) carries an expected accuracy range of -20% to -50% on the low side and +30% to +100% on the high side, narrowing to -10% to -20% and +10% to +30% only at Class 3, where 10 to 40% of the project is defined. Approving a Class 5 number as though it were a Class 3 budget books the overrun before any work starts. The fix: reference class forecasting, three-point estimation (optimistic / most likely / pessimistic), and mandatory independent estimate review before budget approval.

Fix: Reference class forecasting + independent review
2

Scope Creep

Affects 52% of projects (PMI)

Requirements expand incrementally during execution. A 'small change' requested by a stakeholder adds a day here, a week there, and is never reflected in the budget. Without a formal change control process, scope grows while the budget stays fixed. Scope creep is particularly severe in IT projects, where requirements are documented late or ambiguously, and in government projects, where political interference adds features throughout delivery.

Fix: Change control board + documented change orders
3

Poor Risk Management

No contingency = no buffer

Budgets set without contingency reserves fail at the first problem. Contingency should be scaled to how much uncertainty the estimate actually carries, not set at a habitual round percentage. The UK's published benchmark for that scaling is the Green Book optimism-bias uplift, which is 24% of capital cost for standard buildings at outline-business-case stage, 44% for standard civil engineering, and up to 200% for equipment and software development. When a risk materialises (a subcontractor fails, material prices spike, or a technical problem requires rework) and no buffer was set aside, the overrun is immediate.

Fix: Quantified risk register + tiered contingency reserve
4

Design Errors and Rework

A leading cause of construction rework

Errors in design discovered during construction require expensive rework: demolition, replacement, re-inspection, and programme delays. This is particularly common in fast-track projects where design and construction phases overlap. If foundation drawings are wrong after concrete is poured, the cost to fix can exceed the original design contract value. Professional indemnity insurance responds in theory, but claims are slow and disputed.

Fix: Clash detection, design review gates, constructability review
5

Supply Chain Disruption

Major post-2020 driver

Material price spikes, long lead times, and subcontractor insolvency have driven significant project overruns since 2020. Timber, steel and electrical components all ran through sharp price cycles in 2021 and 2022, and a budget fixed before the cycle absorbs the whole of it. Even with fixed-price contracts, contractors have sought relief under force majeure or material escalation clauses. This cause is particularly hard to manage and often not covered by standard construction insurance.

Fix: Price escalation clauses, early procurement, material cost locks
6

Staffing Changes and Resource Gaps

Common in IT and government projects

Key personnel leaving mid-project, difficulty hiring specialists, or outsourced teams underperforming all add cost. In IT projects, developer turnover means knowledge transfer, onboarding time, and rework. In construction, skilled trades shortages have extended programmes significantly. Staff augmentation through consultants and contractors is expensive and reduces institutional knowledge.

Fix: Succession planning, knowledge documentation, contractor benchmarking
7

Communication Breakdown

PMI: 56% of at-risk project budget tied to poor communication

PMI's 2013 Pulse of the Profession in-depth report, The Essential Role of Communications, put the figure precisely: of the $135 million at risk for every $1 billion spent on a project, $75 million (56%) is put at risk by ineffective communications. When project sponsors, contractors, and stakeholders don't share accurate status information, problems are hidden until they are unmanageable. Programme delays are not reported. Cost variances are buried in monthly reports. The project looks on track until it suddenly isn't. This is a governance failure as much as a communication one. Regular, honest EVM reporting with CPI and EAC prominently displayed is the counterweight.

Fix: Monthly EVM reporting, transparent CPI thresholds, escalation triggers

The Psychology: Why Optimism Bias Is So Hard to Fix

Daniel Kahneman and Amos Tversky identified the "planning fallacy" in 1979: the systematic tendency to underestimate the time, cost, and risks of a future action while overestimating its benefits. Critically, this applies even to experienced professionals who know from past projects that things typically go wrong.

The reason it persists: project teams take an "inside view," focusing on the unique aspects of their project (the features that make it different from others), while ignoring the "outside view" (what typically happens to similar projects). The correct approach, reference class forecasting, forces teams to start from what similar completed projects actually cost.

Kahneman's recommendation: when making an estimate, find the most comparable completed projects you can, look at what they actually cost, and use that distribution as your starting point. Then adjust for the specific features of your project. This alone can dramatically improve estimate accuracy.

Full breakdown, with the founding Buehler thesis experiment and the optimism-bias-versus-strategic-misrepresentation distinction: the planning fallacy.

Cause Ranking: Frequency vs. Controllability

CauseFrequencyControllabilityPriority
Inaccurate estimatesVery HighMediumCritical
Scope creepHighHighCritical
No contingency reserveHighHighCritical
Design errorsMediumMediumHigh
Communication breakdownHighHighHigh
Supply chain disruptionMediumLowMedium
Strategic misrepresentationMediumLowGovernance issue

Frequently Asked Questions

What causes a budget overrun?

Bent Flyvbjerg groups the academic explanations for cost overrun into four categories: technical (forecasting error and incomplete data), economic (misaligned incentives and self-interest), psychological (optimism bias and the planning fallacy), and political (strategic misrepresentation to win approval). In practice, inaccurate initial estimates are the most common starting point, followed by scope creep (52% of projects, per PMI), design errors and rework, and poor risk management.

What is optimism bias in project management?

Optimism bias, also called the planning fallacy (Kahneman and Tversky, 1979), is the systematic tendency for people to underestimate the time, cost, and risks of future tasks. Project teams consistently believe their project will go better than similar past projects, ignoring the reference class of comparable projects. This is the psychological driver behind the majority of budget underestimates.

How does scope creep cause budget overruns?

Scope creep occurs when project requirements expand after the budget is set, without corresponding budget increases. PMI reports 52% of projects experience scope creep. Each undocumented change request adds labour, materials, and time. Without a formal change control process, scope creep accumulates invisibly until the project is significantly over budget.

What is strategic misrepresentation in cost estimates?

Strategic misrepresentation, identified by Professor Bent Flyvbjerg, is the deliberate understatement of project costs to secure approval. Politicians, contractors, and project promoters know that a higher estimate might kill the project, so they present an artificially low figure. Once funding is committed and construction starts, cancellation is politically and financially worse than completion, so costs escalate without consequence.

Sources for the figures on this page

  • Estimate accuracy ranges by class. AACE International Recommended Practice No. 18R-97, Cost Estimate Classification System as Applied in Engineering, Procurement, and Construction for the Process Industries, Table 1, Cost Estimate Classification Matrix. The recommended practice notes that where contingency has been addressed appropriately, roughly 80% of projects should fall within the stated ranges.
  • Optimism-bias uplifts used as the contingency benchmark. HM Treasury, Supplementary Green Book Guidance: Optimism Bias (Mott MacDonald, 2002), Table 1, capital expenditure upper bounds. Percentile-level uplifts and the full method: reference class forecasting.
  • Scope creep 52%, and the communications figures. Project Management Institute, Pulse of the Profession. The communications split ($75 million of the $135 million at risk per $1 billion spent, 56%) is from the 2013 in-depth report The Essential Role of Communications. See our PMI Pulse of the Profession citation page.
  • The four-cause framework. Flyvbjerg, Holm and Buhl (2002), “Underestimating Costs in Public Works Projects: Error or Lie?”, Journal of the American Planning Association 68(3); Flyvbjerg (2014), “What You Should Know About Megaprojects and Why: An Overview”, Project Management Journal.

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Updated 2026-10-08