QA Diagnostic Tool
A commercialization support tool that quickly diagnoses QA needs and priorities before launch (in preparation · launching soon)
How to quickly see whether this service fits
We surface the key points you need for a first decision.
Best fit for
Teams that need pre-launch checks but do not have a clear QA scope or priority
First thing we tackle
Same day to 1 week
Check this first
A dedicated QA team and regression suite are already in place
Service Overview
The QA Diagnostic Tool is a decision-support tool that first clarifies the QA range actually needed for the current service instead of simply increasing testing volume.
Structure QA scope, risks, and expected checkpoints quickly based on the service type and launch scope.
Key Benefits
Process
Enter current service stage and release scope
Classify risks by function and operation
Identify priority checkpoints and omission risks
Propose QA scope and execution approach
Deliverables
Service Information
Self-Diagnosis Checklist
📋 Suitable Cases
- ✓You are near launch and unsure what to check first
- ✓Your service includes AI features and you need hallucination/error risks organized
- ✓No dedicated QA staff, so you need a prioritized checklist
⚠️ Unsuitable Cases
- ✗A dedicated QA team and regression suite are already in place
- ✗You need formal certification-grade verification (e.g. medical-device SW)
Design Approach
Derive QA scope from the feature list, propose risk priorities, draft checklists
Set release criteria, decide whether to fix found issues, approve the final release
Accuracy drops sharply without documented requirements and feature definitions. Currently in internal validation; launching soon.
Recommended Path
Startup Preparation / Execution · A-Z 01·02·06
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Data scope
We use the minimum information needed for the workflow and explain what enters the system and what is stored.
AI usage boundary
We separate AI-supported steps such as summarization, recommendation, and draft generation from final human judgment.
Human approval points
External delivery, customer response, final submission, and spending-related steps default to human review.
Logs and auditability
Operators should be able to trace what entered, what was suggested, and where the process stopped when something fails.
Access control
We separate operator, reviewer, and admin responsibilities and avoid broad access to internal-only data.
What we lock before launch
- •What data can enter the workflow
- •Which outputs must never go out without review
- •Where the flow stops and who confirms issues
- •What logs operators need to resolve incidents quickly
What you can confirm before talking to us
Data scope
Human approval points
Logs and auditability
Service Information
Project Duration
Same day to 1 week
Price
Depends on scope
Implementation Period
Same day to 1 week
Human Resources
1 hour/week
Suitable Organization
Teams that need pre-launch checks but do not have a clear QA scope or priority
Main Services
- Launch-scope-based QA diagnosis
- Functional and operational risk classification
- Priority checkpoint organization
- Expected test-scope proposal
- QA execution guide