At some point someone looks at your trend chart and asks the inevitable question: “so what will it be next quarter?” Excel will answer instantly — it will extend any line into the future with machine confidence and zero shame. The skill isn’t getting a forecast; it’s getting one you can defend, with its uncertainty attached, and knowing the cases where the honest answer is “this data can’t say.”
What a forecast actually claims
Every statistical forecast makes the same quiet claim: the future will keep behaving like the past. That’s it — no tool in Excel knows about your new competitor, the price rise, or the pandemic. So the first honesty check is human: has something changed that the history can’t know? If yes, the model’s job is context, not prophecy. With that said, plenty of series really do keep behaving — utilisation, steady sales, web traffic — and for those, two tools cover working life.
Tool one: TREND, for straight-ish lines
For a series that grows or shrinks steadily, the workhorse is:
=TREND(Sales, Months, NextMonths)
— fit the best straight line through history, read it forward (spilling one value per future month). Chart people know the same thing as a trendline (right-click the series → Add Trendline), which comes with the honesty gauge attached: R² (tick “Display R-squared”). Near 1, the line explains the data; near 0.5, you’re drawing confident lines through weather. Show the R² or don’t show the trendline.
Tool two: FORECAST.ETS, for seasonal shapes
Most business series aren’t lines — they breathe: December peaks, August slumps, weekly rhythm. Fitting a line through seasonality gives an answer that’s wrong twice a year in opposite directions. Modern Excel’s answer:
=FORECAST.ETS(next_date, Sales, Dates)
— exponential smoothing that detects and replays the seasonal pattern. Its companion is the one that separates honest forecasts from decoration:
=FORECAST.ETS.CONFINT(next_date, Sales, Dates)
— the ± band around the point estimate. Or skip the formulas:
Data → Forecast Sheet builds all of it — forecast, upper,
lower, chart — in one dialog. It’s the most underused honest
button in Excel.
The honesty rules
Four disciplines make forecasting respectable:
- Always show the band. A point forecast (“December: 1,240”) invites false precision; a band (“1,050–1,430, 95%”) shows the claim’s real size. If the band is embarrassingly wide, that is the finding.
- Feed it enough history. Seasonal detection needs at least two full cycles — ideally three. Twelve months of data cannot establish a yearly rhythm; it can only assume one.
- Short reach only. The fan widens for a reason — forecasting three months from three years of data is respectable; forecasting three years is astrology with confidence intervals.
- Backtest before you trust. Hide the last six months, run the forecast, compare with what actually happened. Five minutes, and now you know how this method performs on this series — the difference between “Excel said” and “the model, which was within 6% over the backtest, says”.
And a data note from the cleaning stage: FORECAST.ETS needs real dates on a regular rhythm — text dates or gappy months break it, and the fix is the usual one, upstream.
What forecasting is for
Not prophecy — planning ranges. Stock to hold, staff to rota, the budget’s next-quarter expectation, the sanity line on a target (“the trend says 1,100; the target says 1,500; the gap is the conversation”). Wired into the dashboard with its band drawn honestly, a forecast turns arguments about optimism into arguments about assumptions — which are the only arguments a spreadsheet can actually settle.
The line extends either way. The craft is the fan around it.