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Me, Myself & IT Leadership Podcast
#2 (EN): Why Big IT Projects Often Fail

#2 (EN): Why Big IT Projects Often Fail

Me, Myself & IT Leadership vor 4 Monaten

0:00

15:13

In this episode, Nova and Daniel discuss why large IT projects so
often become later, more expensive, or harder than originally
planned.

Daniel breaks the problem down into three root causes:

- mathematics: communication paths, Brooks' Law, and structurally
unreliable estimates

- politics: underestimated business cases, sunk cost, and
stakeholder interests that are never fully synchronized

- human behavior under complexity: blame games, unclear
ownership, and agile theater

Takeaways for IT leaders:

- avoid major projects where manageable, iterative goals are
possible

- if a major project is unavoidable, start with honest numbers
from day one

- define ownership clearly, in writing, even when it feels
uncomfortable

- measure success not only by budget, time, and scope, but by
business value, stability, operational simplicity, and user
adoption

The episode closes with a look ahead: how AI could help
organizations analyze complex projects more honestly and identify
risky patterns much earlier.

Me, Myself & IT Leadership. Techie. Leader. Human.