top of page


The First Mistake Leaders Make Is Solving Too Early
Before leaders solve a problem, they need to understand what problem they are actually solving. Too often, teams move fast, fix the visible symptom, and mistake activity for progress. This article looks at why solving too early creates repeated issues, wasted effort, and shallow decisions. Real leadership starts with slowing down enough to diagnose the condition behind the problem.

Chris Legaspi
5 days ago12 min read


Why Hotels Still Struggle to Turn Data Into Decisions
Hotels today have more data than ever, yet many still struggle to turn it into action. Dashboards, forecasts, and analytics are readily available, but decisions often lag behind the signals. The real gap is not technology, but capability. High-performing hotels move earlier, act with confidence, and stay close to the market. The difference lies in how teams interpret data, make decisions, and consistently translate insight into timely action.

Chris Legaspi
Apr 1211 min read


What Elite Chess Taught Us About AI: 3 Rules for Your Career
When technology begins to master the very skills that once defined human expertise, how do we stay valuable? Drawing from lessons in elite chess, this reflection explores how AI first replaces old advantages, then creates new ones through augmentation. The future will not belong to those who compete against machines, but to those who learn how to think, decide, and lead with them.

Chris Legaspi
Oct 20, 20255 min read


The Why That Changed Me: Lessons I Learned from My EMBA Journey
The EMBA reminded me that if I stop learning, I stop leading. It was not about earning another title but rediscovering curiosity. Balancing work and study was tough, yet it awakened something in me. I learned to think slower but decide faster, to listen more, and to lead with humility. Transformation starts within — when you stop reacting from habit and start leading with awareness.

Chris Legaspi
Oct 19, 20255 min read


Visualizing Volatility: Why the Negative Binomial Model Belongs in Hotel Forecasting
Forecasting in hospitality isn’t one-size-fits-all. Some patterns are steady, others volatile. Poisson regression works when variance equals the mean, fitting stable demand. But when variability grows—driven by campaigns, weekends, or events—the Negative Binomial model adapts better. It captures both expected bookings and uncertainty, helping hotels plan rates, labor, and inventory more realistically. Forecasting isn’t about perfection—it’s about preparation and anticipating

Chris Legaspi
May 12, 20252 min read


Transforming the Marketing Mindset: Reflections on the AIM CMO Leadership Development Program
CMO Program @AIM: VUCA tools, faculty wisdom. Redefined marketing, fueled leadership for dynamic future.

Chris Legaspi
Feb 10, 20242 min read


Revolutionizing Hotel Marketing: Autonomy, Mastery, and Purpose
Marketing associates in hotels are key architects, shaping the brand's narrative and aligning efforts with the overarching vision.

Chris Legaspi
Sep 18, 20232 min read


Decoding the Appeal of Authenticity: The New Paradigm in Branded Content
In the age of ad-blockers, genuine brand stories trump salesy pitches. Authenticity is key: be real, relevant, engaging & shareable.

Chris Legaspi
Sep 18, 20232 min read


The Unassailable Power of Content Marketing in Propelling Business Success
Explore content marketing's pivotal role in 2023, from engaging blogs & videos to its impact on brand growth in the digital commerce era.

Chris Legaspi
Sep 17, 20233 min read


Navigating the Avalanche: The Art of Crafting Engaging Email Marketing Campaigns
Unlocking Email Marketing Success: Standing Out in a Saturated Inbox.

Chris Legaspi
Sep 17, 20233 min read


The Myth of 'One-Size-Fits-All': A Deep Dive into a Common Marketing Misconception
APAC 2023: Debunking 'One-Size-Fits-All' in Diverse Marketing Landscapes.

Chris Legaspi
Sep 17, 20233 min read


The Future of Hotel Marketing: A Symbiosis with Artificial Intelligence
AI in hotel marketing isn't a menace but a milestone, enhancing human creativity. It's a blend of tech and ingenuity, not a threat.

Chris Legaspi
Sep 17, 20232 min read
bottom of page