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Why Your Estimates Keep Being Wrong (And How to Fix It)

Process2 min read

Why Your Estimates Keep Being Wrong (And How to Fix It)

Occasional estimation misses are normal. Consistent misses in the same direction are a signal that something structural is broken. Here's how to find it.

Consistently underestimating

Probable cause: hidden work isn't being counted

Common culprits: code review time, writing tests, deployment steps, documentation, waiting for QA sign-off. When teams estimate only the core development work, they miss 30-50% of what "done" actually requires.

Fix: Audit a few recent stories. Map everything that happened between "started" and "accepted." Add those activities to your Definition of Done and let them influence future estimates.

Consistently overestimating

Probable cause: overconfidence in worst-case scenarios

Some teams have been burned before and systematically pad every estimate as self-protection. The result is consistent under-delivery against capacity: the team has more room than it used and stakeholders wonder why.

Fix: Run a retrospective on five stories you overestimated. Were the risks you guarded against actually present? If not, your priors need updating.

Wide variance (sometimes right, sometimes wildly wrong)

Probable cause: unclear acceptance criteria

Stories with vague scope produce inconsistent estimates because each developer imagines a different scope. The estimate is often "correct", for whatever version of the story they imagined.

Fix: Add a Definition of Ready that requires acceptance criteria before a story enters estimation.

Estimates right, time wrong

Probable cause: external dependencies

A story might be genuinely 3 points of development work but take two weeks calendar time because of an external API provider, a legal review, or another team's deliverable.

Fix: Track blocked time separately from active development time. Estimates shouldn't account for wait time you can't control.


Estimation is a feedback loop. Every sprint is data. If you're not reviewing misses systematically, you're running the loop without reading the output, and the costs of that compound quietly.

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