Gather signals
Bring automated checks, exploratory findings, defects, and environment health into one view.
- UI and API coverage
- Critical journey results
- Known defect context
Built for decisive QA
Quality signals.
Clear verdicts.
QAVerdict turns scattered test evidence into a release decision your whole team can understand—and defend.
See the verdict
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QA verdict
Ready with caution
Core customer journeys are stable. Review three low-risk defects before rollout.
Critical flows18/18
Automated checks142/145
Open defects3
Decision confidence
92%TEST EVIDENCE→RISK ANALYSIS→RELEASE VERDICT
The QAVerdict method
A verdict is only as strong as the evidence behind it.
The workflow makes QA judgment visible: what was tested, what still carries risk, and why a release should move forward—or wait.
Weigh the risk
Translate failures into business impact using severity, change surface, and customer exposure.
- Impact over raw counts
- Regression risk mapping
- Confidence scoring
Make the call
Deliver a plain-language ship, hold, or caution verdict linked back to the supporting evidence.
- Defensible recommendation
- Clear release conditions
- Shared team understanding
Demonstration case
From test result to release call.
A sample checkout release shows how QAVerdict connects test design, product risk, and a practical recommendation.
Sample scenarioE-commerce · Checkout
A payment release with one question: is it safe to ship?
Version 2.4.0 changes saved-card handling and promotion logic in the highest-value customer journey. Passing checks alone do not answer the release question—the failure modes and exposure do.
Risk-based coverage
Key finding Three failures affect edge cases; none blocks payment completion or corrupts order data.
Behind QAVerdict
Built by Caleb Stroman.
QA Automation Engineer · SDET
QAVerdict is my working demonstration of how quality engineering can make release risk easier to understand. It brings together automation thinking, risk-based testing, and clear product communication in a foundation designed to grow into a real QA decision platform.
Open to QA Automation Engineer and SDET opportunities