The uniqueness trap: your project isn’t one of a kind, and that’s a good thing because it means you can learn from others how to manage it better.
By: Flyvbjerg, Bent Budzier, Alexander Christodoulou, M.D. and Zottoli, M
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Material type:
BookPublisher: Hayward Business Review Description: 103(2), Mar-Apr, 2025: p.119-125.
In:
Hayward Business ReviewSummary: Project managers and planners are highly prone to believing that their projects are one of a kind—partly because those that seem new and distinctive are more likely to win support. But research on 1,300-plus projects reveals that few, if any, actually are unique. The problem is, the perception of uniqueness causes managers to think there’s nothing to learn from other projects, which leads them to underestimate risk, make poor decisions, and blow through budgets and schedules. The cure is to always assume that someone, somewhere has undertaken a project like yours. If you can’t find an analogue, break your project into components, which may prove comparable with other projects. Then use forecasting and other risk assessment tools to avoid biases that undermine good choices. – Reproduced
https://hbr.org/2025/03/the-uniqueness-trap
| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
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Articles
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Indian Institute of Public Administration | 103(2), Mar-Apr, 2025: p.119-125 | Available | AR135601 |
Project managers and planners are highly prone to believing that their projects are one of a kind—partly because those that seem new and distinctive are more likely to win support. But research on 1,300-plus projects reveals that few, if any, actually are unique. The problem is, the perception of uniqueness causes managers to think there’s nothing to learn from other projects, which leads them to underestimate risk, make poor decisions, and blow through budgets and schedules. The cure is to always assume that someone, somewhere has undertaken a project like yours. If you can’t find an analogue, break your project into components, which may prove comparable with other projects. Then use forecasting and other risk assessment tools to avoid biases that undermine good choices. – Reproduced
https://hbr.org/2025/03/the-uniqueness-trap


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