Ask Your Dev Team how they evaluate estimate accuracy

Your developer should compare estimates with actual results, then use the difference to make future forecasts more useful. The goal isn’t to prove that every estimate was right. It’s to understand why it was wrong.

Software work contains uncertainty, especially when the team is solving a new problem or changing an unfamiliar codebase. Treating every miss as poor performance encourages people to pad estimates or hide discoveries. Never examining misses guarantees that the same surprises return.

Find the reason behind the miss

Imagine a feature estimated at two weeks takes three. Calling it “50% over” is accurate arithmetic and an incomplete diagnosis.

The useful conversation is what consumed the extra week. Perhaps an integration behaved differently from its documentation. Perhaps approval sat with your team for three days. Perhaps the developer missed a requirement that should have been found earlier. Those causes call for different responses.

I would sort the difference into a few practical categories:

• Scope changed: The agreed work grew after the estimate.
• An assumption failed: Something the team expected to be true wasn’t.
• A dependency delayed work: Access, feedback, another vendor, or another team arrived late.
• The implementation was harder: The team underestimated known work.
• Quality work surfaced: Testing or review exposed necessary fixes.

This doesn’t excuse a miss. It gives you enough information to act on it.

Be careful not to mix effort with elapsed time. A task can require the estimated 40 hours of work and still finish a week late because access or approval was unavailable. That is a schedule miss, but not necessarily an effort-estimation miss. Decide which forecast you’re evaluating before drawing a conclusion.

I hope those of you in the U.S. had a good Labor Day weekend. A long weekend is a useful reminder that calendar time and working time are not the same thing. Good estimates make that distinction visible.

Look for patterns across comparable work

One estimate proves very little. A pattern can teach you something.

If integration work regularly exceeds its range, the team may need earlier technical investigation. If stakeholder approval repeatedly delays milestones, your governance needs attention. If estimates are accurate only when one senior developer creates them, knowledge may be too concentrated.

Compare similar kinds of work and preserve the context. A two-week feature in a mature product is not automatically comparable to a two-week experiment in a new one. Accuracy without context becomes a score that people learn to game.

Your developer doesn’t need elaborate forecasting software. A short review of the planned range, the comparable actual result, the reason for the difference, and the lesson learned is enough to start.

Accuracy is not the same as reliability

A team can hit an estimate by dropping tests, documentation, or necessary polish. That isn’t a successful forecast. It’s a transfer of cost into the future.

Likewise, a team can miss a date and still behave reliably by raising the risk early, showing its impact, and giving you options. The progress-reporting questions in issue 24 help you evaluate that behavior while work is underway.

The question I care about is whether you can make a better decision with the team’s forecast. Did you know the range? Were changes visible? Did the team protect quality? Did their next estimate reflect what they learned?

Make the review safe and specific

Ask these after a milestone, not only after a painful overrun:

“Where did actual work land relative to the estimate, and what explains the difference?”

“Which part of our estimating approach will change next time?”

“Were there delays that effort estimates didn’t capture?”

“Did we meet the outcome and quality bar we agreed on?”

A strong answer names a cause, distinguishes controllable problems from genuine discovery, and identifies one adjustment. A weak answer blames “software being unpredictable” without showing any learning.

I see estimate reviews as calibration. You aren’t demanding certainty. You’re asking the team to become more honest and useful with experience. That is the standard I would apply to Cuttlesoft, too.

Go build something and expect better from your developer. Have a good short week. 🛠️