Release Readiness
Qaptly does not decide if a release is “good” or “bad”. It shows you how the behavior of your product has changed — and what risk that creates. This is what release readiness really means.What Qaptly Compares
Every time you run Qaptly, it builds a behavioral profile of your product:States
The states that exist in your product
Transitions
The transitions between states
Conditions
The conditions that affect outcomes
User Paths
The paths users can take
What Changes Mean
A release becomes risky when:- ✋ New states appear — Untested functionality introduced
- ❌ Existing states disappear — Features removed or broken
- 🔄 Transitions behave differently — User flows changed unexpectedly
- ⚠️ Conditions lead to new outcomes — Logic changes with unknown effects
- 📉 Previously stable flows become unstable — Regressions detected
Qaptly detects all of these automatically by comparing behavioral models.
From Test Results to Risk Signals
Instead of saying:
“These tests passed”
Qaptly can say:
“These user flows now behave differently” “These conditions now produce new results” “These parts of the system are less predictable than before”This is what determines whether a release is safe.
Release Readiness Criteria
A release is ready when:1
Critical Flows Behave as Expected
Core user journeys work correctly and consistently
2
State Space is Stable
No unexpected states or missing expected states
3
Risk Surface Hasn't Expanded Dangerously
New risks are understood and acceptable
4
Behavior Matches Business Requirements
Product functions align with what the business relies on
The Readiness Dashboard
Qaptly provides comprehensive comparison views:Behavioral Diff
Behavioral Diff
Side-by-side comparison of state models between versions
- New states highlighted
- Removed states flagged
- Changed transitions marked
Risk Analysis
Risk Analysis
Automatic risk scoring based on:
- Untested new functionality
- Changed critical paths
- Increased error rates
- Performance degradation
Coverage Delta
Coverage Delta
How test coverage changed:
- New areas covered
- Previously tested areas now untested
- Coverage percentage trends
Stability Metrics
Stability Metrics
Flow reliability over time:
- Flaky test detection
- Consistency scores
- Success rate trends
Making the Decision
- Green Light 🟢
- Yellow Light 🟡
- Red Light 🔴
Ship with Confidence
- ✅ All critical flows stable
- ✅ No new high-risk states
- ✅ Behavior changes are expected
- ✅ Coverage meets or exceeds threshold
- ✅ No significant regressions
Evidence-Based Confidence
With Qaptly, you can answer:This turns release decisions from guesswork into informed risk management.
Related Articles
What Qaptly Considers Coverage
Understanding coverage metrics
Evidence-Based Results
Quality evidence
Build the Product Model
How behavioral profiles are built