What is a shift-right approach in testing?

Shift-right approach uses observability and real-world telemetry in production to identify issues missed in pre-release testing. It relies on anonymized behavior data to improve reliability and user experience.

What is the difference between shift-left and shift-right approach?

Shift-left testing focuses on early testing during the development phase. On the other hand, shift-right approach focuses on monitoring and testing after release with real user interaction.

Why is real user feedback important for shift-right approach?

Real user feedback provides direct insights into user behavior, which further helps identify usability issues, performance problems, and customer pain points in real-world usage.

How does AI enhance shift-right approach?

Artificial Intelligence analyzes large volumes of user data, detects patterns and anomalies, predicts potential issues, and delivers faster and more accurate insights for better decision-making.

What are the business benefits of shift-right approach?

There are various business benefits of shift-right approach that include improved customer experience, lower downtime, faster issue resolution, protection of brand reputation, and lower cost of fixing defects.

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