The forecast is only as good as the pipeline
Most attempts to fix a forecast start with the math: better weightings, a new report, a different formula. None of it helps if the deals going in are wrong. A forecast is the sum of many small judgments about individual deals. When those judgments are loose, the total is loose, however it's calculated.
So start with the pipeline itself. The data problem is common: in the same Gartner survey, only 47% of respondents said their organization had high-quality data, and 13% said it was poor. The usual problems come in four kinds.
Why forecasts miss
Stages describe your activity, not the buyer's
"Demo done" and "proposal sent" are things your team did. They say nothing about whether the buyer is any closer to buying. A deal can sit at "proposal sent" for months, because sending the proposal was the last thing anyone did. As Gartner analyst Craig Riley put it, "customers simply don't follow a linear progression of steps to arrive at a buying decision" (Gartner, 2020).
Close dates are set by hope
The salesperson picks a date that sounds reasonable, usually the end of this month or next. When it passes, the date moves forward a month. Nobody asks what would actually have to happen for the deal to close by then.
Dead deals stay open
Nobody likes marking a deal lost, so deals that went quiet stay in the pipeline and inflate every total. The longer they sit there, the less anyone trusts the report, and the more the real forecast moves into the founder's head. Many of those deals were never lost to a competitor. In a study of more than 2.5 million recorded sales conversations, Matthew Dixon and Ted McKenna found that 40% to 60% of deals end with a buyer who intended to buy but never acted (Harvard Business Review, 2022).
Percentages create false precision
Weighting each stage by a fixed percentage turns a list of guesses into a confident-looking number. If the stages are loose, the percentages are fiction, and a total down to the last dollar hides how uncertain it really is.
Fix 1: define stages by what the buyer has done
Rewrite each stage as an exit test: something the buyer did that anyone can check. For example:
- Qualified: the buyer confirmed the problem, who decides, and a reason to act this year.
- Solution agreed: the person who decides has seen what you'd do and agreed it solves the problem.
- Proposal reviewed: the buyer has been walked through the price and terms, and you know their questions.
- Verbal yes: the person who decides said yes, and you've agreed the steps to signature, with dates.
Your stages will be different. What matters is the test: could someone else look at the record and agree the deal belongs in that stage? If not, the stage is a feeling.
Fix 2: set rules for close dates
- A close date belongs to the buyer. Tie it to something on their side: a budget cycle, a contract ending, a launch, a board meeting. If you can't name the event, the date is a guess, and it should be marked as one.
- Every date change gets a reason. One line, written down. A deal that moves twice without a new reason needs a frank conversation.
- No dates in the past. An open deal with a close date that has already passed is either won, lost or wrongly dated. Fix it the same week.
Want to know how much of your pipeline is real? The free audit takes four questions.
Fix 3: keep the pipeline clean
Deal hygiene sounds dull. It is the forecast.
- Every open deal has a next step and a date. A deal without one isn't being worked.
- Pick a staleness window. Decide how long a deal can go without contact from the buyer before it gets reviewed. Base it on your normal sales cycle, and apply it to everyone, including the founder's deals.
- Close deals out, with a reason. Lost and gone-quiet deals get closed with a reason from a short list. You can always reopen one. A pipeline of honest losses is worth more than a pipeline of polite maybes. Those reasons are the seller's view, and a win-loss analysis checks them against what the buyers say.
- One owner per deal. A deal everyone shares is a deal nobody owns.
Fix 4: call the forecast deal by deal
Instead of trusting a weighted total, sort the open deals expected this period into three groups:
- Commit: deals the owner would bet on, with a verbal yes and a clear path to signature.
- Best case: deals that could close this period if one or two named things go right.
- Pipeline: everything else. Real, but not this period.
Each week, every deal owner calls their commit and best-case deals out loud, and someone asks the same three questions every time. What did the buyer do this week? What has to happen next, and when? What would make it slip? Then write the call down.
Then check the forecast against what happened
At the end of each month or quarter, compare what was called as commit with what actually closed. Note which deals slipped and why. Over a few periods you'll see whether your team calls high or low, which stages leak, and which kinds of deal always take longer. That's how forecasts improve: not with a new formula, but by checking last period's call against what really happened.
A quick self-check
- Is each stage defined by something the buyer has done?
- Could someone else look at a deal and agree on its stage?
- Is every close date tied to an event on the buyer's side?
- Does every open deal have an owner, a next step and a date?
- Are the close dates on all open deals still in the future?
- Do you compare each period's forecast with what actually closed?
When the forecast isn't the real problem
If the pipeline is clean and full and still little closes, the cause is likely elsewhere in how the business runs. Pipeline looks full and nothing closes walks through that. To watch new pipeline and closed deals every week, read The 5 numbers every founder should see every Monday.
Want an outside read on how much of your pipeline is real? Start with the free audit. If you then want to build the fix yourself alongside other owners, there's the Cohort, starting mid-January 2027. If you'd rather have it built and run with you, there's the Executive engagement.
Works Cited
- Dixon, Matthew, and Ted McKenna. "Stop Losing Sales to Customer Indecision." Harvard Business Review, 24 June 2022, hbr.org/2022/06/stop-losing-sales-to-customer-indecision. Accessed 28 Oct. 2026.
- "Gartner Says Less Than 50% of Sales Leaders and Sellers Have High Confidence in Forecasting Accuracy." Gartner, 12 Feb. 2020, www.gartner.com/en/newsroom/press-releases/2020-02-12-gartner-says-less-than-50--of-sales-leaders-and-selle. Accessed 28 Oct. 2026.
