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Managerial Judgment
How hotel leaders evaluate, trust, override, and apply recommendations produced by AI and operational systems.
Research • Operations • Applied AI
Hotel Decision Lab explores how hotel leaders use data, technology, and artificial intelligence to improve operational, workforce, and managerial decision-making.
Explore the current workResearch Focus
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How hotel leaders evaluate, trust, override, and apply recommendations produced by AI and operational systems.
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How forecasting, scheduling, and decision support affect productivity, employee outcomes, and hotel performance.
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Why hospitality technology succeeds, stalls, or fails inside complex operating environments.
Current Work
Working Research Agenda
An ongoing exploration of where artificial intelligence should automate hotel work, where it should augment human judgment, and what enables managers to trust and responsibly use its recommendations.
About
Drew Potter is a former hotel operator and a technical sales leader working in hospitality technology.
He is completing an MBA focused on business analytics and digital marketing while developing a research agenda around AI-supported decision-making in hotel operations.
drew@hoteldecisionlab.com