Forecast Sandbagging
Sales forecasts under-set to ensure attainment bonus.
"Predict the easy number. Beat the easy number. Get paid."
What is Forecast Sandbagging? Sales forecasts under-set to ensure attainment bonus. Forecast quality degraded by comp design.
Pipeline forecasting across nearly every salesforce.
Forecast quality degraded by comp design.
Decouple forecast accuracy from quota attainment in comp.
Flip the incentive. Watch the side-effect move.
Sales forecasts under-set to ensure attainment bonus. Caught in the wild: Pipeline forecasting across nearly every salesforce.
In the room: Forecast quality degraded by comp design.
Counter-move from the Atlas: Decouple forecast accuracy from quota attainment in comp.
Pick a reaction to Forecast Sandbagging
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The full taxonomy entry
Every concept in the Atlas uses the same structure — so Forecast Sandbagging can be compared, recombined, and cited like an element on a periodic table.
- Business
- Leadership
- Government
- Healthcare
- Education
- Sales
- Marketing
- AI
- Negotiation
- Media
- Public Policy
- Relationships
- Where in our org would Forecast Sandbagging most often show up unnoticed?
- Which metric, ritual, or contract clause quietly rewards Forecast Sandbagging?
- If we removed every payoff for Forecast Sandbagging, what behavior would replace it?
- Who benefits when Forecast Sandbagging persists — and who pays the cost?
- People defend the status quo using the language of forecast sandbagging.
- Decisions cluster around the easiest narrative rather than the strongest evidence.
- New data changes the slide deck but not the decision.
- Anyone naming the pattern is treated as the problem.
Every Atlas entry is a node in a knowledge graph. See the related rail below to follow the connections.
See Forecast Sandbagging through 2 lenses
Each layer of the Incentives OS reframes this concept with its own thinkers, vocabulary, and diagnostic question.
Long-form essays that cite Forecast Sandbagging
From the Research Center — where this concept gets argued, applied, and stress-tested.
Do you actually know Forecast Sandbagging?
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Which best describes Forecast Sandbagging?
Worked example, counter-example & concept map
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Your nervous system has a region for this.
When you encounter Forecast Sandbagging, your striatum has built a reward association — and the next time the cue appears, it will push you toward the behavior whether you decide to or not.
Reward learning, habit formation, anticipation, craving, action selection. Habits live here. So do addictions. Variable rewards train this circuit faster than fixed ones.
See Striatum in the Brain Atlas →Picked for you, from the Atlas
Ranked by shared learning paths, overlapping chips, and what you've saved.
Earn-outs designed to retain founders often demotivate the team they bought.
Funnels rewarded for new logos under-invest in retention and lifetime value.
Cuts that lift margin this quarter erode product quality and brand equity over years.
Narrowly tied bonuses get gamed; people optimize the metric, not the underlying goal.
Re-hires often get raises larger than internal promotions.
Pay tied to stock price encourages short-term price management.
Send the card, not just the link
A pre-rendered social card with the title, eyebrow, and URL. Copy the link, post it anywhere, or download the SVG for slides.
More definitions to follow
Every term in the Atlas connects to a dozen others. Pick any of these and see where it takes you.
An ordering of options by expected satisfaction — often constructed in the moment rather than retrieved.
Federal focus on technical milestones over commercial outcomes creates 'professional applicants.'
Unlimited anonymous donations flow through 501(c)(4) shells into elections.
The price at which someone will sell an item systematically exceeds the price they'd pay to buy it.
Claiming something is true or better because most people believe it.
Whoever makes the positive claim carries the obligation to support it. Absence of disproof isn't proof.
Believing a specific scenario is more likely than its more general one.
How much we value the present over the future.
Quantitative measures of model behavior across groups.
Cue → routine → reward.
Bypassing model safety constraints.
Deriving 'is' from 'ought.'