Skip to main content

What I Learned from Failing a QA Interview – Real Lessons in Software Testing

🧪 What I Learned from Failing a QA Interview (and the Bugs I Wish I Found)

Real-world lessons from a failed QA interview — and how it made me a better software tester.

Let’s be real: I bombed the interview.

Not because I didn’t know QA. Not because I wasn’t serious. But because I missed the point.

This is the story of how I failed a QA interview — the bugs I overlooked, the things I thought were “minor,” and how that failure became the turning point in my testing career.

🎬 The Interview I Thought I Was Ready For

The role was for a QA Engineer at a mid-sized fintech company. I was given a demo banking app with a simple task:

“Test the app for one hour and log as many issues as you can. Then report your bugs clearly.”

I found a few UI issues and typos and logged them. I thought I nailed it.

📩 The Email That Changed Everything

“Thanks for your time. We've decided to move forward with other candidates. Your testing approach missed some critical functional issues.”

That hit hard. They were right.

🧨 What I Missed (And Why It Mattered)

❌ 1. I Skipped Edge Cases

  • Empty form submissions
  • Negative values in amount fields
  • Inputting long strings (e.g., 1000 characters)

❌ 2. I Ignored Full User Flows

I tested screens in isolation. I didn’t check end-to-end journeys like Login → Transfer → Logout → Re-login. That’s how I missed a session bug.

❌ 3. I Trusted That Validation Worked

I didn’t try invalid inputs. I assumed error handling was built-in. It wasn’t.

❌ 4. I Wrote Weak Bug Reports

“Form doesn’t work properly”

That’s not a bug report. It’s a guess. I didn’t provide steps, expected behavior, or severity.

💡 What I Learned (And Now Always Do)

✅ Think Like a User *and* a Tester

Don’t just test what you see. Ask, “What if…?” and go beyond the obvious.

✅ Test Workflows, Not Screens

Users go through journeys. You should test that way too.

✅ Write Clear Bug Reports

Include: title, steps, expected vs actual result, severity, and proof (screenshot/video).

✅ Prioritize with Time Limits

Start with risky features first. UI tweaks can wait.

🚀 What Happened Next

I practiced testing real apps, improved bug reporting, studied testing heuristics, and learned to think critically.

A few weeks later, I aced another interview and landed the job. Failure was the best teacher.

🎯 Final Thoughts

This experience made me a stronger, more curious tester. It reminded me:

You don’t have to be perfect. You just have to improve.

💬 Over to You

Have you ever failed a QA interview? What did you learn from it?

Share your story in the comments below — I’d love to hear it.

Comments

Popular posts from this blog

AI Agents in DevOps: Automating CI/CD Pipelines for Smarter Software Delivery

AI Agents in DevOps: Automating CI/CD Pipelines for Smarter Software Delivery Bugged But Happy · September 8, 2025 · ~10 min read Not long ago, release weekends were a rite of passage: long nights, pizza, and the constant fear that something in production would break. Agile and DevOps changed that. We ship more often, but the pipeline still trips on familiar things — slow reviews, costly regression tests, noisy alerts. That’s why teams are trying something new: AI agents that don’t just run scripts, but reason about them. In this post I’ll walk through what AI agents mean for CI/CD, where they actually add value, the tools and vendors shipping these capabilities today, and the practical risks teams need to consider. No hype—just what I’ve seen work in the field and references you can check out. What ...

Autonomous Testing with AI Agents: Faster Releases & Self-Healing Tests (2025)

Autonomous Testing with AI Agents: How Testing Is Changing in 2025 From self-healing scripts to agents that create, run and log tests — a practical look at autonomous testing. I still remember those late release nights — QA running regression suites until the small hours, Jira tickets piling up, and deployment windows slipping. Testing used to be the slowest gear in the machine. In 2025, AI agents are taking on the repetitive parts: generating tests, running them, self-healing broken scripts, and surfacing real problems for humans to solve. Quick summary: Autonomous testing = AI agents that generate, run, analyze and maintain tests. Big wins: coverage and speed. Big caveats: governance and human oversight. What is Autonomous Testing? Traditional automation (Selenium, C...

What is Hyperautomation? Complete Guide with Examples, Benefits & Challenges (2025)

What is Hyperautomation?Why Everyone is Talking About It in 2025 Introduction When I first heard about hyperautomation , I honestly thought it was just RPA with a fancier name . Another buzzword to confuse IT managers and impress consultants. But after digging into Gartner, Deloitte, and case studies from banks and manufacturers, I realized this one has real weight. Gartner lists hyperautomation as a top 5 CIO priority in 2025 . Deloitte says 67% of organizations increased hyperautomation spending in 2024 . The global market is projected to grow from $12.5B in 2024 to $60B by 2034 . What is Hyperautomation? RPA = one robot doing repetitive copy-paste jobs. Hyperautomation = an entire digital workforce that uses RPA + AI + orchestration + analytics + process mining to automate end-to-end workflows . Formula: Hyperautomation = RPA + AI + ML + Or...