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A 4 km school run makes probabilistic forecasting easier to explain.
Get the free 10-page PDF to see how an everyday journey clarifies the difference between committing to one delivery date and communicating a range of possible outcomes with probabilities.
Inside the guide
The guide turns one short drive into a practical way to explain uncertain delivery.
- The same 4 km journey can take very different amounts of time.2
- Some variables remain outside your control.5
- A single best-case estimate creates a predictable problem.6
- Different allowances produce different levels of confidence.7
- Planning for confidence is not the same as predicting one duration.8
- The same principle applies to software delivery.9
- Delivery conversations can move beyond a single date.10
The problem with one delivery date
How do you make a reliable plan when the outcome can vary?
The work may be clear, but not every condition that affects delivery is under your control. A single date does not show that variation or the confidence behind the forecast.
The same journey can produce different outcomes.
The guide starts with a familiar example in which the distance stays fixed while the time does not.
Uncontrolled variables still affect the result.
Conditions outside the plan can change how long it takes to reach the destination.
One estimate cannot communicate a range.
A single number leaves no way to show the possible outcomes or how likely each one is.
About the author
The guide is written by Sonya Siderova, Founder and CEO of Nave.
Nave grew out of a product development team that was delivering just 25% of what it committed to. After adopting Kanban, the team began making decisions from delivery data instead of opinions. That experience eventually became Nave, a flow analytics platform trusted by 7,000+ delivery teams worldwide.
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