Quality Commitment
Quality Management for Continuous Improvement
We position quality management as one of our important initiatives to achieve stable operation and continuous improvement of our service.
While responding to diverse usage environments and operational conditions, we aim to provide a service that can be used with confidence over the long term, and we conduct quality management that combines systems and human judgment.
What We Consider Quality
We do not simply consider quality as “a state where no problems occur at all.”
Actual usage environments and operational conditions vary widely, and it is difficult to completely predict all events in advance.
Therefore, in this service, even when problems occur, we place importance on:
- Early detection, understanding, and response
- Minimizing impact
- Connecting to improvements
We consider the state where quality can be continuously improved as the ideal form of quality.
Quality Management System
This service operates based on the following quality management cycle.
1. Verification Based on Assumed Use Cases
Based on actual usage situations and assumed operational conditions, we conduct phased verification and operational checks.
In particular, for functions that are expected to have complex configurations or customizations, we conduct focused verification.
2. Detection and Understanding of Issues and Problems
For issues and behaviors confirmed during verification processes or operations, we organize reproduction conditions and occurrence situations and accurately understand the content.
We consider the detection of issues itself as a result of the quality management cycle functioning appropriately.
3. Corrective Actions and Improvements
Depending on the confirmed content, we consider and implement corrections and workarounds.
As necessary, we review designs and processing methods, leading to fundamental improvements rather than temporary responses.
4. Reconfirmation and Judgment
After corrective actions, we conduct reconfirmation, and based on impact scope and operational status, we make judgments regarding releases or continued operation based on defined criteria.
5. Reflection of Feedback
Based on verification results and feedback from users, we review verification content and quality management perspectives, reflecting them in the next improvements.
By continuously rotating this cycle, we aim for quality stability and improvement.
Initiatives Supporting Quality
Continuous Quality Verification Through Automated Testing
For major functions, we conduct verification using automated testing, continuously checking whether changes or improvements have affected existing operations.
This enables:
- Early detection of unintended specification changes
- Understanding of impact scope associated with corrections
- Ensuring reproducibility of quality verification
AI-Assisted Code Review
We incorporate AI-assisted code review as part of the development process.
This enables:
- Complementing perspectives that may be overlooked by human eyes
- Continuous confirmation of coding standards and design policies
- Early understanding of potential issues and impacts on maintainability
We use AI review not to replace developer judgment, but as a mechanism to support and strengthen quality verification.
Quality Management Combining People and Systems
Automated testing and AI review are not intended to completely automate quality management.
While utilizing these systems, we combine them with human judgment for:
- Judgment based on actual usage situations
- Verification for complex use cases
- Improvement judgment based on feedback
Through quality management with both people and systems, we aim for continuous quality improvement.
Quality Improvement Through Feedback
In this service, we position feedback obtained from actual usage environments, not just verification processes, as an important element for quality improvement.
- Sharing of usage situations and operational challenges
- Understanding of unexpected use cases
- Reflection of improvement requests and insights
Based on this information, we expand verification content and improve functions, leading to quality improvement of the entire service.
Regarding Quality Judgment
Quality judgment is not made based solely on individual events.
We comprehensively consider verification status, impact scope, corrective content, results of automated testing and reviews, progress status, etc., and make judgments based on defined criteria.
Toward Continuous Quality Improvement
We believe that quality is not something created once and finished, but something that continues to be refined along with operations.
Through the quality management cycle and feedback, we aim to provide a service that is trusted over the long term.
Frequently Asked Questions (Q&A)
Q1. Does finding bugs mean there is a quality problem?
A. Not necessarily.
If an issue is found during verification or in operations, we accurately identify the details and promptly implement corrective actions and re-verification.
What matters most is not overlooking issues, but responding appropriately according to defined procedures and ensuring they lead to improvements.
Q2. Why can’t all bugs be eliminated before release?
A. Because usage environments and use cases are diverse.
We believe that actual operating conditions are varied, and it is difficult to predict everything completely in advance.
Therefore, our service emphasizes mechanisms that enable early detection of issues and improvement while minimizing their impact.
Q3. Isn’t responding to bugs after they occur reactive?
A. Bug response is part of quality management. By repeating detection, correction, and reconfirmation, it is reflected in the next verification and improvements, leading to quality improvement of the entire service.
Q4. How is quality judged?
A. We do not judge based solely on individual events. We comprehensively consider verification status, impact scope, corrective content, progress status, etc., and make judgments based on defined criteria.
Q5. How are automated testing and AI code review utilized?
A. They are used as mechanisms to support and strengthen quality verification.
Automated testing is used to continuously confirm the impact of changes, and AI code review is used to complement human judgment and reduce oversights.
Neither replaces final judgment.
Q6. How is feedback from users reflected?
A. It is utilized as important information for quality improvement. Based on feedback obtained from actual usage environments, we review and improve verification content, reflecting it in the next quality management cycle.
Q7. What does “quality management is in place” mean?
A. It refers to a state where problems can be understood and appropriately addressed.
We believe that quality management does not guarantee that problems will not occur, but rather that when problems occur, they can be addressed according to expected procedures.
Q8. Will quality continue to improve in the future?
A. We assume continuous improvement.
We believe that quality is not something created once and finished, but something that continues to be refined through operations and feedback.