TL;DR
Qase.io is an ecosystem for managing quality end-to-end: from manual and automated tests to analytics, reports, and AI assistance. This article explains, step by step, how to adopt Qase to make testing structured, transparent, and measurable.
When Spreadsheets Stop Working?
Small teams can survive with Google Sheets and Confluence. But as soon as releases multiply, duplicates appear, tests become outdated, bugs slip through, and QA reports turn into chaos.
Qase.io solves that problem. It’s a Test Management System (TMS) that unites manual testing, automation, CI/CD, and analytics — all in one place.
Structure: The Foundation of Reliable QA
Most failed adoptions start with poor structure. Don’t import legacy cases “as is.” Build a hierarchy that mirrors your product.
Project → Folders → Suites → Test CasesExample structure for a mobile banking app:
Mobile Banking├── Auth & Onboarding│ ├── Registration│ └── Login├── Payments│ ├── P2P Transfer│ └── Bill Payments└── Settings ├── Profile └── SecurityUse Shared Steps for recurring actions — login, navigation, logout. This eliminates duplication and keeps your test base maintainable.
Insight: A good structure saves more time than any report ever will.
What a Good Test Case Looks Like?
Consistency is everything. Establish a simple but strict format for all test cases:
| Field | Example | Note |
|---|---|---|
| Title | Login with invalid password | Clear and specific |
| Preconditions | User registered | Sets up environment |
| Steps | 1. Open Login Page 2. Enter invalid password 3. Click Login |
Explicit actions |
| Expected Result | Error message displayed | Verifiable outcome |
| Priority | High | Useful for regression filters |
| Tags | #auth #negative |
Enables grouping and search |
Introduce peer reviews for new test cases reviewing tests works just as well as reviewing code.
Integrating with CI/CD
Integration keeps your tests alive and relevant. Here’s a minimal setup for GitHub Actions + Pytest + Qase:
name: Run Tests and Report to Qaseon: [push] jobs: test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - name: Install dependencies run: pip install pytest qase-pytest - name: Run tests env: QASE_API_TOKEN: ${{ secrets.QASE_API_TOKEN }} QASE_PROJECT_CODE: BANK run: pytest --qaseOnce the pipeline runs:
- Qase creates a
Test Runautomatically - gathers passed/failed statistics
- links results to Jira issues or GitHub PRs
Now your pipeline isn’t just “green”, it communicates quality.
Automating with Qase API
The UI is nice, but real automation lives in the API.
Example: fetching the latest test run statistics
curl -H "Token: $QASE_API_TOKEN" \ "https://api.qase.io/v1/run/BANK?limit=1"Response:
{ "result": [ { "id": 382, "title": "Regression Cycle 42", "status": "completed", "stats": { "passed": 96, "failed": 4, "skipped": 0 } } ]}You can feed this data into Slack, Grafana, or Power BI dashboards — turning QA results into actionable insights for the entire product team.
Metrics That Actually Matter
Don’t track everything, measure what drives improvement.
| Metric | Where to find | What it tells you |
|---|---|---|
| Pass Rate | Dashboard → Runs | Release stability |
| Flaky Tests | Test Runs → Trends | Automation reliability |
| Defect Density | Reports → Defects | Product quality |
| MTTR (Mean Time to Resolve) | Jira integration | Responsiveness to defects |
Good metrics don’t describe, they drive action.
Requirement Traceability
Every test should have a reason to exist. Qase allows you to link test cases to user stories in Jira:
JIRA-1024 → [TC-21] Login valid user → [TC-22] Login invalid passwordThat’s how you maintain alignment between code and coverage.
Reports and Analytics
Qase generates clean, visual reports — no Excel or macros needed. A sprint summary might look like this:
- 250 total tests
- 92% passed
- 4 critical defects
- avg fix time: 1.8 days
For managers, this is clarity.
For QA leads, it’s pattern recognition — where coverage is dropping, where flakiness is growing, which scenarios are redundant
AI Assistant AIDEN
AIDEN is Qase’s built-in AI engine for test generation and optimization. It can:
- generate tests from feature descriptions
- prioritize scenarios automatically
- suggest automation candidates
⚙️ Example prompt:
Generate test cases for money transfer between accounts.AIDEN will output positive, negative, and edge-case scenarios. Still, AI doesn’t understand business context, treat it as an accelerator, not a replacement.
Keeping Things Clean
Every test repository decays without discipline. Run a cleanup every 2–3 sprints:
- delete unused tests;
- merge duplicates;
- mark outdated cases with
#deprecated; - appoint a Test Catalog Owner to maintain structure.
Qase lets you filter by “last run date”: perfect for spotting forgotten scenarios.
Real-World Adoption Example
A team of 12 QA engineers migrated from Google Sheets to Qase. The pilot covered 300 cases from the “Payments” module.
After integrating Pytest and Slack:
- Duplicates dropped by 42%
- Regression time fell from 9h → 4h
- Flakiness decreased from 11% → 3%
Two months later, reports were fully automated and QA leads stopped chasing data manually.
When Qase Is the Right Fit
Ideal for:
- teams of 5+ QA engineers
- products with CI/CD pipelines
- organizations focused on analytics and continuous improvement
Overkill for:
- small startups with <20 manual tests
- on-prem systems with no internet access
- teams lacking process discipline (no review, no updates)
Evaluate Success After 3 Months
Checklist:
- All new cases created in Qase
- Automated tests report results automatically
- Jira issues linked to test cases
- Dashboards are used without reminders
- Regression cycles are faster
- Flakiness trend is declining
If 80% of this is true — your Qase rollout worked.
Conclusion
Qase.io makes visible what used to hide behind “tested manually.” It helps QA engineers think like system architects, not executors.
For juniors: it gives structure and standards. For leads: analytics and control. For businesses: predictability and confidence in release quality.
Author’s Note
Qase won’t eliminate chaos by itself, it simply exposes where chaos lives. If your team is willing to see that truth, you’re already halfway to real quality.
Nov 10, 2025
Drives the technical vision at Ramotion, uniting engineering excellence with design innovation to deliver scalable, secure, and user-focused digital solutions.