Home
/
Blog
/
Hiring Tools
/
How to be a badass ninja QA tester

How to be a badass ninja QA tester

Author
Ajay George
Calendar Icon
May 5, 2017
Timer Icon
3 min read
Share

Quality Assurance is more than just finding bugs in an application. The QA team focuses on delivering a quality product that is developed by a developer,within a deadline. The QA team’s primary task is to eliminate the issues that may affect the way the product works and thereby hampering the user experience.

When we approach testing in a project, irrespective of how small or big a project is, we always strive to achieve the testing pyramid. If you have never come across this model then go and look it up, it’s on the list of being a badass!

“Quality is not an act, it is a habit.”— Aristotle

Here is the pyramid,

Why Quality Assurance (QA) is a must in software development?

The longer a bug goes undetected, more expensive it is to fix. A simple cost vs. benefits analysis overwhelmingly shows that the benefits of employing a QA test engineer to validate the code far outweighs the costs.Most importantly, it also influences your product’s reputation!

Here is why the QA process is important in software development:

  • An extensive QA process is performed to eliminate avoidable defects or bugs before a site is made live.
  • QA is done to make the website credible and easy to operate.
  • What if the search button of a search engine like Google, which is used by millions of people every single day, doesn’t work? It might require a simple fix, which can be done by a developer in a jiffy. However,this defect will encourage users to use a different search engine,which leads to a loss in users
  • A proper QA process will help you find defects that can be fixed before the website goes live.
  • When a product is launched, it is a must for the product to have undergone the complete QA process. What if the product is launched and the users find that something is not working as expected? The company will lose its credibility, reputation, and resolving the issue will become expensive and time-consuming
  • The QA process is not just for delivering stable products there is a higher purpose. The purpose is to make users and customers believe that the company is credible, retain the number of users, provide the users a great experience.

If you are still skeptical, look at these stats!

  • In April 26 1994, China Airlines Airbus A300 crashed due to a software bug killing 264 passengers.
  • In April 1999, a software bug caused the failure of a $1.2 billion military satellite launch, one of the most expensive accidents in history.
  • In May 1996, a software bug caused the bank accounts of 823 customers of a major U.S. bank to be credited with 920 million US dollars.

The QA process can be a lifesaver sometimes, can’t it?

How is the QA process performed?

Method

Courtesy:Jack Sheppard

The QA should be aware of the stack, the frameworks, the business purpose of the feature, and most importantly understand the customer’s and user’s pain! This is where the QA process starts and this is where you should begin!

We believe that the QA then enters into the Design Phase and starts its transformation from then on. Having a pre-design QA assessment is even better. Once the company decides to build a product, the PM schedules a meeting with the developers, QA engineers, and designers.

During this meeting, the PM explains the purpose, need, and user requirements that will be used when the product is built.This clarifies information about design, engineering, stack, and other engineering requirements. During this time the QA engineer will understand and clarify information about the origination of the requirement.From there on, QA becomes an integral part of every process till and after the delivery of the product

The following processes must be followed for an effective QA process:

Design QA

Once the design is completed, there should obviously be the obvious design QA. The QA engineer has a discussion with all the members of the software development team.

In this informal discussion table,the features in the product would be explained to the entire team,which they will soon be starting to develop.Then we start the design QA, in which the QA team will go through the entire design to check about functionality, feature, enhancements, user requirements, business purpose validation, potential issues, foresee complexities that may exist and are briefly made aware on the drawing board to the devs during the design QA process.

Create the test scenario document

After the design QA is done, the QA team starts designing a test scenario document (sample template), which is a hybrid of use case and test case documents.

This document will be used throughout the testing phase. It contains a list of all the possible scenarios that are identified for testing in the product based on the design. Once the testing begins, the scenarios will be iteratively added during the Executing phase.

Documentation review

Documentation review is a critical step in the QA process.This review decides the direction of the testing process and direction is very important.

This review is done by developers or the PM before the execution phase starts. In this step, either the developer or the PM goes through the test scenario document that was created by the QA team and checks whether all the scenarios have been covered.

If a scenario is missing, it is the shared responsibility of the PM, developers, and QA engineer to ensure that it is added. It is recommended that you do not start testing until all the scenarios have been added to the document.

Execution

Execution is the phase where the real testing happens. The testing process is started when 75% of the product has been developed thus avoiding rework by the time the development reaches 95%.

Rework is mitigated by the test scenario document which was created during the test scenario phase. If you take up QA earlier, then you will not have the appropriate QA and test coverage. If you do QA after the product or feature has been fully developed, then you will have to deal with a lot of demotivation among the developers due to rework.

You must test all the scenarios which are covered in the test scenario document along with the scenarios which you come across while testing the actual product. Add the new scenarios to the document while testing.

The execution phase takes its own time.There will not be any compromise on the time for QA. The results of the execution will be noted in the test scenario document and the same will be shared with the developers who have developed the product.

During the execution phase, not only the scenarios are just covered but the user experience would be tested too.The way the product behaves,all the functionalities,features,UI would also be tested.If a scenario fails.We would add the explanation of it along with the screenshot,URL,steps to reproduce.

Defect reporting

As Joel says in his blog,

“A great tester gives programmers immediate feedback on what they did right and what they did wrong. Believe it or not, one of the most valuable features of a tester is providing positive reinforcement. There is no better way to improve a programmer’s morale, happiness, and subjective sense of well-being than a La Marzocco Linea espresso machine to have dedicated testers who get frequent releases from the developers, try them out, and give negative and positive feedback. Otherwise it’s depressing to be a programmer.”

During a sprint ,the defects that are found should be noted in the a defect summary sheet (sample defect summary) of a test scenario document (sample template).This helps the developer to view the defect along with the explanation, screenshot, URL, and steps to reproduce the defect.

The developer then fixes the defects. If a defect is not valid, then it will be classified as one of the following:

  • Feature
  • Bug that cannot be fixed for various reasons or requires a design change.

Otherwise, the defect is marked as fixed in the relevant column of the test scenario document and also updates the Maniphest log. The defects can be related to the functionality, features, UI, or anything that affects the way the product works.

Maniphest

Maniphest is one of the defect-management tools that is used during the QA process. It helps to manage the entire bug life-cycle. As tests are executed, you may find bugs in the existing flow or may feel there is scope for a few enhancements. You should immediately, create a task in Maniphest and assign it to the relevant developer.

Based on the priority, bugs will be fixed. Once the bug is fixed, the author of the bug i.e. the relevant QA engineer will receive an email notification.This helps the QA engineer to retest the bug and change the status accordingly.

Retesting

Once the issue is marked as fixed by the developer in the test scenario document, the retesting of the specific defect is the responsibility of the QA engineer who reported the issue. The results of the retesting should also be recorded in the test scenario document.

The Testing phase ends with this step. Retesting will be done at the end of the Execution phase because execution is usually done on a fully developed product—the most stable version of the product.

Test closure

This is the step where the QA team prepares the release notes of the testing process.

Release notes contain the following information:

  • Description of the product that was tested
  • Time taken
  • Approach followed
  • Reference links
  • Test results
  • Type of testing that was done

After the release notes are sent to the whole team, the QA process ends.

Types of testing at HackerEarth

Automation testing

While there is plenty of room for improving the QA process at HackerEarth, we are now trying to put an emphasis on building automated tests so that we can let people do what people are good at and have computers do what computers are good at. That doesn’t mean that we never do manual testing or drop out of the pyramid. Instead we do the “right” amount of manual testing with more human-oriented focus (e.g. exploratory testing) and try to ensure that we never do repetitive manual testing.

Performance testing

Performance testing is an important type of testing which is a must before deploying any new change. Performance testing is performed to determine the behavior of a system under both normal and expected peak-load conditions. It helps to identify the maximum operating capacity of an application.We use New Relic for the performance testing.

“An application can work fine for a single user but may break when multiple users use it simultaneously.”

We use JMeter to perform load testing.

JMeter creates realistic & accurate scenarios, sends requests to appropriate servers which show the performance of an appropriate server/application via tables, graphs etc.

Environments used for testing

We have an environment that is a replica of the production environment. It is called the ‘staging environment’.We use this staging environment for the testing process.

The developers develop an application in their local environment and push it to staging where the QA engineer will test the application. All the testing takes place in the staging environment.

We would never have been able to get this far and achieve an effective QA process without a dedicated grassroots effort from everyone in the team. This effort would have failed if it hadn’t been combined with huge improvements in our testing tool, processes, and mind shift along with the business and developers.

“QA is hard!! If it was easy, anyone could have done it. The ‘hard’ part is what makes QA important!”

We have taken a serious and pragmatic approach to establish a definite QA process. The important thing about this process is that QA at HackerEarth has evolved into a multi-dimensional process. We have formulated this QA process collaboratively and improved it over time.

Wondering what is the best way to introduce QA process in your team? Just get started! Good luck!

Subscribe to The HackerEarth Blog

Get expert tips, hacks, and how-tos from the world of tech recruiting to stay on top of your hiring!

Author
Ajay George
Calendar Icon
May 5, 2017
Timer Icon
3 min read
Share

Hire top tech talent with our recruitment platform

Access Free Demo
Related reads

Discover more articles

Gain insights to optimize your developer recruitment process.

The Mobile Dev Hiring Landscape Just Changed

Revolutionizing Mobile Talent Hiring: The HackerEarth Advantage

The demand for mobile applications is exploding, but finding and verifying developers with proven, real-world skills is more difficult than ever. Traditional assessment methods often fall short, failing to replicate the complexities of modern mobile development.

Introducing a New Era in Mobile Assessment

At HackerEarth, we're closing this critical gap with two groundbreaking features, seamlessly integrated into our Full Stack IDE:

Article content

Now, assess mobile developers in their true native environment. Our enhanced Full Stack questions now offer full support for both Java and Kotlin, the core languages powering the Android ecosystem. This allows you to evaluate candidates on authentic, real-world app development skills, moving beyond theoretical knowledge to practical application.

Article content

Say goodbye to setup drama and tool-switching. Candidates can now build, test, and debug Android and React Native applications directly within the browser-based IDE. This seamless, in-browser experience provides a true-to-life evaluation, saving valuable time for both candidates and your hiring team.

Assess the Skills That Truly Matter

With native Android support, your assessments can now delve into a candidate's ability to write clean, efficient, and functional code in the languages professional developers use daily. Kotlin's rapid adoption makes proficiency in it a key indicator of a forward-thinking candidate ready for modern mobile development.

Breakup of Mobile development skills ~95% of mobile app dev happens through Java and Kotlin
This chart illustrates the importance of assessing proficiency in both modern (Kotlin) and established (Java) codebases.

Streamlining Your Assessment Workflow

The integrated mobile emulator fundamentally transforms the assessment process. By eliminating the friction of fragmented toolchains and complex local setups, we enable a faster, more effective evaluation and a superior candidate experience.

Old Fragmented Way vs. The New, Integrated Way
Visualize the stark difference: Our streamlined workflow removes technical hurdles, allowing candidates to focus purely on demonstrating their coding and problem-solving abilities.

Quantifiable Impact on Hiring Success

A seamless and authentic assessment environment isn't just a convenience, it's a powerful catalyst for efficiency and better hiring outcomes. By removing technical barriers, candidates can focus entirely on demonstrating their skills, leading to faster submissions and higher-quality signals for your recruiters and hiring managers.

A Better Experience for Everyone

Our new features are meticulously designed to benefit the entire hiring ecosystem:

For Recruiters & Hiring Managers:

  • Accurately assess real-world development skills.
  • Gain deeper insights into candidate proficiency.
  • Hire with greater confidence and speed.
  • Reduce candidate drop-off from technical friction.

For Candidates:

  • Enjoy a seamless, efficient assessment experience.
  • No need to switch between different tools or manage complex setups.
  • Focus purely on showcasing skills, not environment configurations.
  • Work in a powerful, professional-grade IDE.

Unlock a New Era of Mobile Talent Assessment

Stop guessing and start hiring the best mobile developers with confidence. Explore how HackerEarth can transform your tech recruiting.

Vibe Coding: Shaping the Future of Software

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing c

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

Top Products

Explore HackerEarth’s top products for Hiring & Innovation

Discover powerful tools designed to streamline hiring, assess talent efficiently, and run seamless hackathons. Explore HackerEarth’s top products that help businesses innovate and grow.
Frame
Hackathons
Engage global developers through innovation
Arrow
Frame 2
Assessments
AI-driven advanced coding assessments
Arrow
Frame 3
FaceCode
Real-time code editor for effective coding interviews
Arrow
Frame 4
L & D
Tailored learning paths for continuous assessments
Arrow
Get A Free Demo