Intuition in Decision-Making: Good or Bad? 🤔

When should we trust our intuition, and when does it lead us astray? Scientists tell this in their research paper...

Claudia HC Sin

Founder & Host at ScienceX, Business owner of ChatCampaign Research Lab

When should we trust our intuition, and when does it lead us astray?

In their influential paper, "Conditions for Intuitive Expertise: A Failure to Disagree" (Kahneman & Klein, 2009, American Psychologist), two leading researchers explored the role of intuition in decision-making, with initial opposite views:

• Naturalistic Decision Making (NDM): 🧑‍🚒 Gary Klein focuses on how expert intuition thrives in real-world, high-stakes environments like firefighting or medicine.

• Heuristics and Biases (HB): 🧠 Daniel Kahneman highlights how intuition can fail due to cognitive biases, leading to systematic errors.

💡Key Takeaways:

The authors agree that intuition can be both highly skilled or deeply flawed, depending on the situation. So, what determines whether intuition is good or bad for decision-making?

1. When Intuition Works Well ✅

• Intuition excels in predictable environments with clear patterns and regular feedback (e.g., firefighting, chess ♟️).

• To develop reliable intuition, individuals need repeated practice and learning opportunities.

2. Two Types of Intuition 🔍

• Skilled Intuition: Comes from experience. For example, a seasoned nurse 👩‍⚕️ can spot subtle signs of illness based on years of practice.

• Guess-Based Intuition: Occurs in unpredictable situations, relying on mental shortcuts that can lead to overconfidence or mistakes.

3. Confidence ≠ Accuracy 🚫

Feeling confident about an intuitive decision doesn’t mean it’s correct. Both skilled and flawed intuitions can feel equally convincing.

4. Expertise is Domain-Specific 🎯

Experts excel only in areas they’ve deeply practiced. For example, a doctor skilled in diagnosing common illnesses may struggle with rare conditions.

5. Algorithms Are Helpful 🤖

• In low-predictability tasks (e.g., loan approvals 💳), algorithms often outperform human intuition due to their consistency.

• Combining intuition with structured tools (e.g., "premortem" methods to anticipate failures 💡) improves decision-making.

💡 Conclusion:

The paper emphasizes that the reliability of intuition depends on the environment and learning opportunities. And a balanced perspective is the key for growth in making better decisions.

📄 Read the paper here:

https://lnkd.in/gEVCT9Mj

👇 A related article say that:

• True expertise doesn't mean simpler decisions - it means better ways of navigating complexity. Kahneman and Klein found that the best performers aren't those who are most certain, but those who can effectively hold multiple competing scenarios in mind while still taking decisive action.

• Expertise isn't just about accumulating knowledge - it's about developing sophisticated pattern recognition through repeated exposure and clear feedback loops. When those conditions exist, experts can process complex scenarios rapidly in ways that novices can't match.

https://lnkd.in/g_q3MBE4

All opinions and advice in this blog post are solely those of the author and do not reflect the views of the platform or any collaboration partners.

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Intuition in Decision-Making: Good or Bad? 🤔

When should we trust our intuition, and when does it lead us astray? Scientists tell this in their research paper...

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