Definition
In forecasting, trend refers to the long-term upward or downward movement in volume once seasonal and random fluctuations are stripped away.
Trend is distinct from seasonality, which repeats on a fixed cycle, and from random noise, which is short-term variation with no pattern. A forecasting method needs to isolate trend correctly or it will either lag behind genuine sustained growth or overreact to a short-term spike as if it were a lasting shift.
Methods like Holt's linear trend and Holt-Winters explicitly model trend as a separate component, which is why they tend to outperform simple moving averages on data with sustained growth or decline.
Why it matters
- Separating trend from noise stops planners from treating a temporary spike as permanent growth.
- Recognising a genuine trend early gives hiring and training more lead time.
- Methods that model trend separately adapt faster than moving averages when volume is growing or shrinking.
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