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Quality assurance processes and quality management are often deemed as a two-coined phrase, where the latter is normally applicable in the project management realm.

As far as quality assurance processes are concerned, they apply to projects involving stakeholder analysis, SDLC (*Software Development Lifecycle), and different workflows. 

On the latter note, we’re referring to agile methodology, waterfall, and vice versa.

However, the above is just the modern form and some of the jargon that relates to quality assurance processes. 

Even when technology was in its mundane version, quality assurance processes, alongside different quality assurance tools and tests, still existed. It’s just that it wasn’t a highly widespread concept several decades ago. Part of the reason is associated with the lack of automated quality assurance tools, which are now in abundance these days.

Moving on, as businesses strive to deliver products and services that meet or exceed customer expectations, quality assurance (QA) has become a critical component of their operations. 

“Assurance” is more of a systematic approach used to prevent defects, errors, or discrepancies in products or services, ensuring that they conform to established standards and meet customer requirements. 

This post not only explores the basic concept of the process of quality assurance but also sheds insight on various steps involved in quality assurance method (s) etc. 

Let’s get started.

Types of Quality Assurance Methods – A Quick Overview

In the realm of Quality Assurance (QA), testing and collaboration with code quality teams are pivotal. Let’s delve into the key quality assurance methods

  • Test Design Techniques: Testing in QA falls into two categories: static and dynamic.
  • Static Testing: This involves monitoring, inspecting, and reviewing software quality without executing it. The team examines documentation, reports, and metrics to gauge workflow success, regardless of software readiness.
  • Dynamic Testing: This necessitates running the product to observe its changing behavior. It assesses variables like CPU usage, response time, page loading speed, etc. This offers insight into how the product will perform on users’ devices.
  • Whitebox Testing: Delving into code intricacies, understanding developers’ intentions, and comprehending functionality and interface details.
  • Blackbox Testing: Evaluating the application from a user’s standpoint without requiring deep code knowledge. It focuses on performance from an external viewpoint.

QA experts typically handle black-box testing, prioritizing end results over detailed structure. Common dynamic tests include system, acceptance, unit, and integration testing.

  • Unit Testing: A modular approach where the application is broken down into individual components, each assessed independently.
  • Integration Testing: Evaluating the entire software to understand its overall performance. It usually follows unit testing, combining all tested modules into a comprehensive view.
  • Performance Testing: QA teams conduct functional and non-functional tests to ensure alignment with the SRS document. This process aims to optimize development and testing further, focusing on speed, scalability, reliability, and detecting technical errors during runtime.
  • Security Testing: This targets safety vulnerabilities, and unusual patterns, and checks software responses in critical situations. The objective is to prevent data breaches, unauthorized access, malware infiltration, and more.

Steps Involved In Quality Assurance

In this section we describe the steps involved in quality assurance  in detail:

#1 Analyzing Requirements

Before testing begins, it’s crucial to define clear and detailed software requirements. This ensures that potential bugs are caught early, reducing costs down the line.

#2 Test Planning

Using the information from requirement analysis, a test plan is created. This includes testing strategy, scope, budget, deadlines, types of testing, bug tracking methods, and assigning responsibilities.

#3 Test Design

Here, the QA team crafts specific test cases and checklists based on the requirements. 

Each case outlines conditions, data, steps, and expected outcomes, providing a clear benchmark for testers.

  • For effective testing, start with exploratory testing to get acquainted with the software.
  • If automation is part of the plan, create automation testing scenarios at this stage.
  • Set up the staging environment to closely resemble the production environment.

#4 Executing Tests and Reporting Defects

Testing begins at the unit level with developers, followed by QA testing at API and UI levels. Detected bugs are recorded in a defect-tracking system for organized management.

#5 Re-Tests and Regression Tests

After fixing identified bugs, QAs re-test to ensure nothing was missed. Regression tests verify that existing functions were not adversely affected by the fixes.

#6 Release Tests

When a release notification is received, the QA team identifies the affected functionalities. Modified test suites are then designed to cover the changes. 

Smoke tests are performed for stability, followed by a comprehensive report on the new build.

What Is Quality Assurance and Different Quality Assurance Processes?

Different Quality Assurance Processes

Quality Assurance, otherwise known as, (QA) is a set of activities designed to ensure that products or services are developed and delivered to meet established quality standards. 

It involves the systematic monitoring and evaluation of processes, practices, and outputs to identify and correct any deviations from defined quality criteria. QA aims to prevent defects and errors from occurring in the first place, rather than just detecting and fixing them after they have occurred.

QA involves a proactive approach to quality management, with an emphasis on prevention rather than detection. It focuses on continuous improvement, ensuring that processes are optimized to consistently produce high-quality products or services. QA encompasses all stages of the product or service lifecycle, from design and development to production, delivery, and customer support.

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6 Critical Quality Assurance Processes That You Need To Be Aware Of

There are several different QA processes that organizations can implement, depending on their industry, size, and specific requirements. Let’s take a closer look at some of the commonly used QA processes:

Inspection and Testing: 

This is one of the most common QA processes, involving the systematic examination of products or services to determine their conformance to established quality criteria. 

This quality assurance method and testing can be conducted at various stages of the production or service delivery process and may involve visual inspection, functional testing, performance testing, or other types of tests.

Documentation Review: 

Documentation plays a critical role in ensuring quality, not only as a quality assurance method, but it provides guidelines and instructions for employees to follow. 

QA processes may involve reviewing documentation, such as standard operating procedures (SOPs), work instructions, or technical specifications, to ensure that they are accurate, up-to-date, and aligned with quality standards.

Process Audits: 

Process audits involve evaluating the effectiveness and efficiency of processes used in the production or delivery of products or services. 

Auditors assess whether processes are being followed as per established procedures and identify areas for improvement. Process audits can help organizations identify and rectify deviations from established quality criteria and ensure that processes are optimized for quality outcomes.

Statistical Process Control (SPC): 

SPC is a data-driven approach to quality assurance that involves the collection and analysis of data to monitor and control the quality of products or services. 

SPC techniques, such as control charts and process capability analysis, help organizations understand the variability in their processes and take corrective actions to maintain quality standards.

Root Cause Analysis (RCA): 

RCA is a problem-solving technique used in QA processes to identify the underlying causes of defects, errors, or discrepancies. 

By understanding the root causes of quality issues, organizations can implement corrective actions to prevent their recurrence, rather than just addressing the symptoms.

Training and Development: 

Employee training and development play a crucial role in ensuring quality. QA processes may include training programs to ensure that employees have the necessary skills, knowledge, and competencies to perform their roles effectively and deliver quality products or services.

Supplier Quality Management: 

Organizations often rely on suppliers to provide components, materials, or services for their products. 

Supplier quality management involves evaluating and managing the quality of products or services provided by suppliers to ensure that they meet the organization’s quality requirements. 

This quality assurance method may involve supplier audits, performance evaluations, and quality agreements to ensure that suppliers are aligned with the organization’s quality standards.

Quality Assurance Vs Quality Control – What Are The Main Differences?

Quality assurance (QA) and quality control (QC) are two related but distinct concepts in the field of quality management. 

The same goes for quality assurance method, quality assurance tools and vice versa in different industry verticals.

While they are often used interchangeably, they have different meanings and play different roles in ensuring that products or services meet established quality standards.

What is Quality Assurance (QA)?

Quality assurance (QA) is a proactive and systematic approach to ensure that products or services are developed and delivered to meet established quality standards. 

It focuses on prevention rather than detection, to identify and address potential issues before they occur. 

QA involves the development and implementation of processes, policies, and procedures that are designed to prevent defects or errors from arising in the first place.

QA is typically performed throughout the entire product or service lifecycle, from design and development to production, delivery, and customer support. 

It involves activities such as process audits, documentation review, statistical process control, root cause analysis, and training and development. QA aims to optimize processes, minimize variability, and continuously improve quality outcomes.

What is Quality Control (QC)?

Quality control (QC), on the other hand, is a reactive and inspection-based approach to ensure that products or services meet established quality standards. 

It involves the detection and correction of defects or errors after they have occurred, intending to ensure that products or services conform to established quality criteria. 

Quality control focuses on the inspection, testing, and measurement of products or services to identify any deviations from defined quality standards.

QC is typically performed during the production or service delivery process and may involve activities such as inspection, testing, sampling, and measurement. QC aims to detect and correct defects or errors, and to ensure that products or services meet the required quality standards before they are delivered to customers.

Main Differences Between Quality Assurance Method and Quality Control

While QA and QC share the common goal of maintaining quality, they have some key differences in their approach and scope:

Prevention vs Detection: 

The main difference between QA and QC is their approach to quality management. QA focuses on preventing defects or errors from occurring in the first place by optimizing processes and addressing potential issues proactively. QC, on the other hand, focuses on detecting and correcting defects or errors after they have occurred.

Proactive vs Reactive: 

QA is a proactive approach that involves identifying and addressing potential issues before they impact product or service quality. QC, on the other hand, is a reactive approach that involves detecting and correcting issues after they have already occurred.

Process-oriented vs Product-oriented: 

QA is process-oriented and encompasses all stages of the product or service lifecycle, from design and development to production, delivery, and customer support. 

It involves optimizing processes and practices to ensure consistent quality outcomes. 

Quality control, on the contrary, is product-oriented and focuses on inspecting, testing, and measuring the actual products or services to identify any deviations from quality standards.

Continuous Improvement vs Inspection: 

Quality assurance in this scenario is focused on continuous improvement, to optimize processes and practices to consistently improve quality outcomes. 

QC, on the other hand, is focused on inspection, testing, and measurement to detect and correct defects or errors in products or services.

Systematic vs Ad-hoc: 

This process of quality assurance is dubbed as a systematic approach that involves the development and implementation of processes, policies, and procedures to ensure consistent quality outcomes. 

QC, on the other hand, may involve ad-hoc inspections, testing, or measurements to detect and correct defects or errors on a case-by-case basis.

5 Industries Where Quality Assurance Is Making a Huge Difference

Quality assurance (QA) processes play a vital role in ensuring that products or services meet established quality standards across various industry verticals. From manufacturing to healthcare, finance to technology, QA processes are essential in maintaining consistent quality outcomes and driving business success. 

Manufacturing Industry:

In the manufacturing industry, QA processes are critical to ensure that products meet quality standards and adhere to specifications. 

QA processes involve quality planning, process control, product inspection, and testing to identify and correct defects or errors in the production process. 

This can reportedly result increased customer satisfaction, reduced product recalls, and enhanced brand reputation, ultimately resulting in higher customer retention and increased profitability.

Healthcare Industry:

In the healthcare industry, QA processes are crucial to ensure patient safety and regulatory compliance. 

QA processes involve quality planning, documentation review, audits, and inspections to ensure that healthcare providers adhere to established standards and guidelines. 

By implementing a robust process of quality assurance, healthcare organizations can prevent medication errors, reduce patient harm, and ensure consistent quality care delivery. 

Finance Industry:

In the finance industry, QA processes are vital to ensure accuracy, reliability, and security in financial transactions and data management. 

This process of quality assurance involves quality planning, data validation, reconciliation, and audits to ensure that financial data is accurate, complete, and secure. 

As a result, the implementation of any number of reliable quality assurance processes with the help of quality assurance tools can result in enabling prevention of financial fraud, minimized errors in reporting and efficient compliance standards. 

This can lead to increased trust among customers, investors, and regulators, resulting in enhanced credibility and competitiveness in the finance industry.

Technology Industry:

In the technology industry, QA (Quality Assurance) processes play a crucial role in ensuring the quality, functionality, and security of software applications and IT systems, including mobile app ideas. Implementing robust QA practices throughout the software development lifecycle is essential to identify and address potential issues before they impact end-users.

From conducting thorough testing and bug detection to performing security assessments and usability evaluations, QA teams work diligently to deliver reliable and high-performing mobile applications. By adhering to industry best practices and utilizing advanced testing frameworks and tools, they ensure that the final product meets the highest quality standards.

QA processes involve quality planning, requirements verification, testing, and security testing to identify and correct defects or vulnerabilities in software and IT systems. 

By implementing robust different processes, technology companies can improve software quality, reduce software failures, and ensure data security. 

Doing so can lead to increased customer satisfaction, improved user experience, and enhanced brand reputation, resulting in higher customer retention and increased market share.

Service Industry:

In the service industry, QA processes are essential to ensure consistent service delivery and customer satisfaction. 

QA processes involve quality planning, process audits, customer feedback analysis, and service evaluations to identify and correct service quality issues. 

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Emphasizing quality assurance processes can result in improved customer retention, increased profitability, and sustainable business success in today’s competitive market. 

It’s ideally a consistent approach, where checks and balances have to be in place to ensure workflow efficiency and long term results. 


What level of quality assurance is necessary to ensure a fully working MVP (*minimum viable product)?

To ensure a fully working MVP (Minimum Viable Product), a comprehensive level of quality assurance is essential. 

Quality assurance involves the implementation of processes and procedures to monitor, review, and evaluate the production process of a product or service. 

It ensures that customer requirements are met in terms of functionality and performance. 

In that order, quality assurance management should also extend to verifying security measures and addressing any potential vulnerabilities within the product or service. 

Furthermore, testing should be conducted on various versions and platforms by experienced testers to detect any bugs or compatibility issues before launch. 

The use of good development practices such as design reviews, code inspections, unit testing, etc., helps to identify errors early which reduces time-to-market for the product or service while still providing superior quality output. 

As a last step, don’t forget about maintaining proper documentation, as it rectifies customer confusion when using the MVP.