A range gives the board a low, expected, and high outcome instead of one number. Used well, it shows how much of the period is already determined and how much is still open. Used badly, it converts a commitment into a hedge. The deciding factor is whether each case is built from named drivers and whether one number inside the range carries the commitment.
The case for a range
Early in a period, a large share of revenue often depends on deals that do not exist yet. ORM's Pete Furseth quantifies how little of the visible pipeline delivers: roughly 20 percent of the pipeline holding in-quarter close dates on day one usually closes, meaning 80 percent of that value is not realized in the quarter. A single number hides that structure. A range built around what has to be created and closed inside the period makes the dependency visible while there is still time to change it.
Concentration is the second good reason. When two or three large opportunities can swing the result, the honest presentation shows the outcome with and without them, along with what each one is waiting on.
The case against
Ranges become a place to hide. Three signs it has happened: nobody can say which number is the commitment, the width never narrows as the period progresses, and the low case is quietly treated as the real forecast by everyone in the room. At that point the board is managing to the bottom of the range and the company has given up the credibility a single committed number buys.
Width should compress as the period runs. If the range at week ten looks like the range at week one, the model is not reading new information.
How to structure it so it works
- Publish one committed number and show the range around it. The commitment gets graded. The range provides context. - Build each case from drivers. State the pipeline creation, win rate, and average deal size behind it, and name the specific opportunities that separate the high case from the expected one. - Separate timing from demand. Deals moving out of the period belong in a deal slippage line, since slipped revenue returns later while lost revenue does not. - Disclose pull-forward. A high case that relies on closing next period's deals early borrows from the following quarter, usually at a discount.
Grade the range afterward
Report where the actual landed inside the range every period, alongside forecast accuracy on the committed number. A team whose results always land at the bottom is guiding optimistically. A team whose results always land near the middle has earned the right to a narrower range and a shorter conversation. The mechanics of building the underlying cases are covered in our guide on how to create a sales forecast.
Frequently Asked Questions
When does a forecast range help a board?
Early in a period, when a meaningful share of the number still depends on deals that have not been created yet, and in businesses where a few large deals can move the quarter. The range shows the board how much of the outcome is already determined and how much is still in play, which is exactly the information they need to decide whether to intervene.
When does a range hurt?
When it is wide enough to cover any outcome, or when nobody states which number inside it is the commitment. A range spanning results that would trigger completely different decisions gives the board no basis to act, and after two quarters directors stop reading anything but the low end.
How wide should the range be?
Wide enough to reflect the real variance in your history and no wider. Derive it from how far past periods landed from their forecasts at the same point in the cycle. A range chosen for comfort rather than from measured error is a guess presented with more decimal places.
What has to sit under each case?
Named drivers, not adjectives. The low case should say which deals are excluded and what pipeline creation it assumes. The high case should say what has to happen and by when, including whether it relies on pulling deals forward from the following period. Cases described as conservative, likely, and aggressive have no operating content.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like should you give the board a forecast range? into prescriptive action for your team.
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