Less Is More: Decision Overload In Leadership

Description

Learn how to escape decision overload and why chasing more projects, more initiatives, and more ideas can quietly erode your impact as a leader. Research on the 'less-is-better' effect shows that people often value a smaller, higher-quality set of items more than a larger, mixed-quality one, because our brains default to simple, easy-to-judge cues rather than raw quantity. The same pattern shows up in leadership: when executives are overloaded with options and decisions, cognitive bandwidth drops, decision fatigue rises, and the quality of strategic judgement declines.In this episode, we unpack why human psychology does not work like a calculator, how the obsession with 'more' turns your role into a bottleneck, and what it takes to design a leadership portfolio where fewer, better choices create more value. You will hear practical ways to apply constraint, strip back noise, and build a decision environment that protects your focus and your credibility as a senior leaderCHAPTERS00:00:00: Why 'more' quietly devalues your leadership00:05:12: The psychology of the less-is-better effect00:13:40: Decision fatigue and leadership overload00:21:05: Spotting where you are adding too much00:29:18: Designing a smaller, higher-value leadership portfolio00:37:42: Practical constraints that protect your best work00:44:30: Commitments you can make this weekRESOURCES MENTIONEDEnhanced Leadership: Practical playbook for leading with clarity, constraint, and focus in high-change environments. https://mybook.to/EnhancedLeadershipLevelUp Leadership Podcast: Episodes on decision fatigue, strategic prioritisation, and protecting your attention.Research on the less-is-better effect: Summary of how people misjudge sets and why smaller, higher-quality sets often feel more valuable.​KEY TAKEAWAYS FOR LEADERSAudit where you are adding more work, more meetings, or more initiatives without a clear value gain.Commit to one fewer active priority than you feel comfortable with, and track the impact on quality of execution.Design default rules th