Tag flows by business impact. Revenue-critical paths get zero-tolerance flake handling on every PR. Low-impact flows run nightly. Your team triages what matters, not everything.
“I deployed a new checkout flow on Friday afternoon at 4:47 PM. After 6 minutes Slack exploded. Payment processing broke and customers couldn't complete purchases.”
DEV Communitysource
“I tried to buy your product three times. Your site kept failing. I went to your competitor instead.”
Optivem Journalsource
Average payment incident costs $12K+ in failed transactions
No testing tool differentiates execution priority by business impact
Engineers waste triage time on low-impact failures while high-impact ones ship
Test execution is all-or-nothing today. Run the full suite or don't. Every failure gets the same red flag regardless of business impact.
A flaky test on the About page creates the same CI alert as a genuine checkout regression. Engineers waste triage time on noise while critical bugs escape.
Datadog has 'critical' synthetic monitors but doesn't tie them to PR-level testing. No tool lets you say 'checkout is tier-1 (every PR, zero tolerance), settings is tier-3 (nightly).'
CI runs 200 tests. 8 fail. Engineer investigates: 4 flakes on the marketing site, 2 on settings, 1 on admin, 1 on checkout. The checkout failure is at line 47 of the report. Engineer fixes the easy ones first. The checkout regression ships to production. $8K lost before anyone notices.
Same 8 failures. Zerocheck surfaces tier-1 first: 'CHECKOUT: 1 failure. Investigate immediately.' Tier-3 failures shown as informational, not blocking. Engineer sees the checkout issue in 30 seconds, fixes before merge. Revenue protected.
Tag flows by business tier: checkout = tier-1, onboarding = tier-2, settings = tier-3
Tier-1 runs on every PR with zero tolerance for flakes
Tier-3 runs nightly, shown as informational when they fail
PR comments surface critical results first, not alphabetically
A checkout failure should block the merge. A tooltip glitch should run nightly.
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