The People Problem: Why Most New Zealand Project Failures Are Human at Heart

The People Problem: Why Most New Zealand Project Failures Are Human at Heart

When New Zealand projects fail, the postmortem almost always points to people. Not bad technology, not broken processes. People: interpersonal dynamics between sponsors and project managers, leadership continuity gaps, teams that never quite gel, and covert resistance from those who fear what the project means for their jobs. Drawing on years of reviewing programmes across the public and private sectors, our view at IQANZ is clear: the human element is both the greatest asset and the most underestimated risk in any programme.

Delivering in the Public Sector: What Makes New Zealand Government Projects So Hard to Get Right

Delivering in the Public Sector: What Makes New Zealand Government Projects So Hard to Get Right

New Zealand’s public sector operates under a set of structural constraints that private sector organisations simply do not face: three-year election cycles, financial year funding boundaries, acute political risk aversion, and the persistent challenge of saying no to people who outrank you. None of these are excuses for poor delivery. But understanding them is essential to doing anything useful about them. At IQANZ we work across both sectors, and here is our take on what makes public sector project delivery uniquely difficult, and what strong project leadership looks like in that environment.

AI in New Zealand Project Management: Genuinely Useful, Genuinely Risky, and Completely Unvetted by Experience

AI in New Zealand Project Management: Genuinely Useful, Genuinely Risky, and Completely Unvetted by Experience

AI tools are arriving in New Zealand’s project management landscape faster than most organisations know what to do with them. They offer real productivity benefits, particularly in document drafting and data aggregation, and the time savings on routine work are genuine. But at IQANZ our view is clear: AI output needs an experienced human lens applied to it, and the risk of AI being used to compensate for a lack of experience rather than to amplify genuine capability is already visible in practice. There is also a structural problem on the horizon that the profession has not yet grappled with seriously: if AI eliminates the junior roles through which project management expertise is built, the experience pipeline dries up, and the system eventually collapses when the last generation of truly experienced practitioners retires.

Preparing the business for a project

Preparing the business for a project

Perhaps you’re a business relatively new to the world of projects. Or maybe the business has gone through significant changes that create somewhat of a ‘clean slate’, meaning all processes and practices are up for improvement. You could also be an organisation that is delivering projects regularly but have a sense that they are harder to get through than they should be.