Have you ever been asked in a QA interview:

“A critical bug is found in production. What will you do?”

This sounds like a simple question.

But the interviewer is not only checking whether you know testing concepts.

They want to understand how you think under pressure.

A production bug can involve customers, business teams, developers, DevOps, support teams, and management. As a QA, you need to know how to investigate, communicate, prioritize, validate, and prevent the issue from happening again.

In this guide, you’ll find real-time production bug interview questions with practical scenarios and sample answers to help you prepare for QA interviews.


Why Do Interviewers Ask Production Bug Questions?

Production-bug questions help interviewers evaluate your:

A strong QA should not simply say:

“I will raise a bug.”

Instead, explain what you will check, whom you will inform, how you will validate the fix, and how you will prevent recurrence.


1. Real-Time Production Bug Interview Questions: A Critical Production Bug

Scenario

A customer reports that they are unable to complete a payment in production.

What would you do?

Sample Answer

First, I would understand and reproduce the issue if possible.

I would collect important information such as:

Then I would assess the business impact and severity.

If the issue is affecting many users or blocking a critical business transaction, I would immediately inform the relevant stakeholders.

I would work with developers and the support/DevOps team to identify the cause.

If a hotfix is released, I would validate:

  1. The reported issue
  2. The affected functionality
  3. Critical related functionality
  4. Important regression scenarios

Finally, I would participate in the Root Cause Analysis (RCA) to understand why the defect escaped to production.

Interview Tip

Don’t stop at:

“I will create a defect.”

Show the interviewer that you understand the complete production incident lifecycle.


2. How Do You Decide the Severity of a Production Bug?

Severity represents the impact of the defect on the application or business.

For example:

Critical Severity

Payment is failing for all users.

High Severity

Users cannot place orders.

Medium Severity

A particular feature is not working, but users have an alternative way to complete the task.

Low Severity

A minor UI alignment issue exists.

However, severity should be evaluated based on the actual business and technical impact, not simply because the bug is found in production.


3. What Is the Difference Between Severity and Priority?

This is one of the most common QA interview questions.

Severity

Severity indicates how seriously the defect impacts the system.

Priority

Priority indicates how urgently the defect should be fixed.

Example

A company website has a spelling mistake in its homepage banner during a major marketing campaign.

It may have:

Severity: Low

Priority: High

Why?

The application still works, but the business may want the issue fixed immediately because it is highly visible to customers.

Interview Tip

Remember:

Severity = Impact

Priority = Urgency

For a broader understanding of software testing concepts, QA professionals can also refer to the official ISTQB website


4. A Bug Cannot Be Reproduced in Your Environment. What Will You Do?

This is a very realistic production scenario.

First, I would not immediately close the issue as “Not Reproducible.”

I would collect more information.

I would check:

I would also compare the production environment with the test environment.

If required, I would work with developers, DevOps, and support teams to investigate the issue.

Key Point

Not reproducible does not automatically mean not a bug.


5. What Would You Check First When a Production Bug Is Reported?

I would start by understanding the business impact and scope.

My initial checklist would be:

1. What is failing?

2. Who is affected?

3. How many users are affected?

4. Can the issue be reproduced?

5. Is there a workaround?

6. Is customer data or money at risk?

7. Is the issue intermittent or consistent?

8. When did the issue start?

9. Was there a recent deployment or configuration change?

This helps determine the appropriate response quickly.


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