Know which moves are real and which are just noise
Quri learns each metric’s normal range from its own recent history, so a genuine break stands out and an ordinary wobble does not pull you away from real work.
Start freeLast updated 2026-06-15
What this fixes
- Every metric jitters day to day, so you cannot tell a real dip from random noise.
- Fixed thresholds you set by hand go stale the moment your numbers grow or shrink.
- You either over-react to every wiggle or tune everything out and miss the real one.
How it works
- 1
Connect the tools whose metrics you want watched.
- 2
Quri learns each metric’s normal band from its own recent history, not a guessed limit.
- 3
When a value breaks that band, Quri flags it with the number and how far it moved.
The honest version
Detection compares each metric to its own recent baseline rather than a static number you have to guess and maintain — so the bar moves with your business and a flag means the value genuinely left its normal range.
Frequently asked
- How is this different from setting an alert threshold myself?
- A fixed threshold goes stale as your numbers change and treats every metric the same. Quri learns each metric’s own normal band from recent history, so the bar adjusts on its own and you do not maintain a list of limits.
- Does a small day-to-day change trigger a flag?
- No. Ordinary variation stays inside the learned band and is ignored. A flag means the value moved far enough to genuinely break the pattern, not that it ticked up a little.
- Do I need historical data before it works?
- It gets sharper as it sees more of a metric’s history, but it starts from the recent range a connected source already reports. You do not have to backfill anything by hand.