Measurement Regularity

Baseline measurements that arrive at uneven intervals can distort the “normal range” VEKTIS uses to score impact. When this happens, you’ll see a regularity warning on your dev item — a heads-up that the baseline may be less reliable than it could be.

How VEKTIS spots irregular measurements

A regularity warning appears when both:

You have at least three baseline measurements
The intervals between them aren’t reasonably consistent

Pattern	Why it triggers a warning
Two or more measurements recorded on the same day	The intervals collapse to zero — VEKTIS can’t tell what your “normal cadence” is
Largest gap is more than 3× the smallest gap	One stretch of measurements is much sparser than another, suggesting inconsistent tracking
Otherwise even spacing	No warning — your cadence looks regular

Why cadence matters

Statistical impact scoring works by comparing post-release measurements against the spread of your baseline values. If those baseline values were collected at wildly varying intervals — daily for a week, then nothing for a month, then once more — the spread reflects measurement timing as much as it reflects the metric’s natural behavior. The result: weaker confidence in whether a post-release change is real.

How to space measurements

You don’t need to be perfect. The goal is consistency, not precision.

Practical guidance

You see	What to do
Regularity warning on a baseline you’re still building	Stick to your cadence going forward — once you have enough evenly-spaced data, the warning will disappear on the next measurement
Warning appears after you missed a few weeks	Resume regular measurements; the older irregular data still counts toward the baseline, but new even-spaced data will dilute its effect
Warning persists after consistent recent measurements	Earlier irregular measurements are dragging the assessment — consider whether to remove obvious outliers
No warning, but you suspect noise	Add more measurements — more data points beat fewer, even at the same cadence