Draft status — 29 April 2026
This deep dive is an initial draft. Contributors are invited to strengthen it with additional citations, research findings, sector-specific evidence, case studies, diagnostic tools, templates, and practical guidance. Please add material that improves the evidence base or helps practitioners apply the factor more effectively.
Governance and decision quality is not the same as having a governance structure.
In this wiki, governance means the system by which consequential project decisions are framed, challenged, authorised, monitored, and revised. This is consistent with the project governance literature, which treats governance as the organisational mechanism that links projects to strategy, sponsorship, oversight, accountability, and value creation (Too & Weaver, 2014; Young et al., 2019).
For practical purposes, the test is decision quality: are the right people using the right evidence at the right time to make decisions that protect or improve the intended outcomes?
This definition deliberately shifts attention away from governance as compliance. A steering committee, stage gate, or reporting pack is only useful if it improves decisions. Governance is active steering, not passive oversight.
This matters because many project failures are not caused by poor execution. They are caused by poor decisions that were made early, protected by optimism, and never seriously challenged once delivery was underway (Flyvbjerg & Gardner, 2023; Flyvbjerg, 2014).
Governance affects outcomes because it shapes the decisions that determine whether a project is worth doing, whether it remains aligned to strategy, and whether emerging evidence is acted on before options close.
This is one of the strongest findings across the evidence base. Flyvbjerg's cross-sector research shows that major project underperformance is repeatedly rooted in early optimism, weak challenge, and poor front-end decision-making rather than simply poor execution (Flyvbjerg, 2014; Flyvbjerg & Gardner, 2023). The McKinsey-Oxford study of 5,400 large IT projects found that major value loss was common, with projects delivering 56% less value than predicted on average; the recurring causes were governance and decision failures, not just delivery slippage (McKinsey & University of Oxford, 2012). Empirical governance research similarly links governance mechanisms and top-management decision behaviour to project success across international datasets (Young & Poon, 2013; Young et al., 2019).
The most consequential governance failures tend to happen before delivery problems become visible: