
The 90-Day Forecast Window Problem
Three months feels safe for predictions. But we kept seeing businesses miss opportunities because they weren't looking far enough ahead. Here's what changed when we pushed that to 120 days.
Real stories from budget planning frontlines. We share what we learn while working with businesses across South Korea—the mistakes, the breakthroughs, and everything in between.

Most companies waste January fixing last year's problems. We noticed something odd after tracking 140 businesses through 2024—those who did mid-quarter reviews in February caught issues early enough to actually fix them.
Read Full AnalysisPractical insights from actual client work. No theories—just what happened when businesses tried different approaches.

Three months feels safe for predictions. But we kept seeing businesses miss opportunities because they weren't looking far enough ahead. Here's what changed when we pushed that to 120 days.

A client kept calling certain costs "variable" when they showed up every single month. Small distinction, huge impact on forecast accuracy. Sometimes the classification matters more than the amount.

Annual budgets feel official and complete. But business doesn't wait twelve months to change. Companies that adjusted quarterly had 23% fewer surprises. The math isn't complicated—reality just moves faster than yearly plans.
After reviewing hundreds of forecasts last year, we noticed patterns that standard advice doesn't mention. These aren't theories—they're observations from actual budget cycles across different industries in South Korea.
Businesses that reviewed budgets monthly instead of quarterly reduced their forecast errors by 68%. Frequent small adjustments beat occasional big corrections.
Companies with rolling 90-day forecasts maintained reserves 3.2 times more adequate than those using static annual plans. Flexibility requires foresight.
Organizations using scenario modeling responded to market changes 41% faster. Having backup plans ready beats scrambling when conditions shift.
Teams that tracked variance explanations—not just numbers—improved next-quarter accuracy by 85%. Understanding why you were wrong matters more than being right once.