Decision-Making Upgraded
- Priya Venkatesan
- 52 minutes ago
- 1 min read

Executives spend 40% of their limited time in decision making. (McKinsey)
The volume & complexity are un-precedented.
So is the automation/augmentation support through AI.
While the expectation is to make better, timely decisions, the fundamentals do not change.
The risk of a wrong decision at the organisational level lies with a human.
In coaching senior leaders, I do observe the rhetoric on data based decision making.
However, there is still hesitancy in actually structuring it better in a way that can be effective & replicable. I also sense a hidden need to rationalise a top-of-the-head decision with data. All this amplifies risk and impact in the age of AI. While AI can help in data crunching & modelling, it can replace human judgement and rigour.
Fundamentally the considerations of decision making have not changed.

Considerations for decision making
The common mis-steps that hurt are
Converting complex problem to a complicated decision making process (time impact)
Analysis paralysis on reversible decisions (time impact)
Hasty irreversible decisions based on gut feeling (Future negative impact)
My way or highway decisions (no consensus)
Consensus building when the buck stops with you (Ownership/time impact)
If you are looking to be a better decision maker, pay attention to the considerations before you begin the process of decision making.
This is a multi-part blog series. Stay tuned for the frameworks and nuances of decision making coming soon!



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