Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconBusiness Analyticsbreadcumb forward arrow iconRAD Models: Overview, Advantages & Disadvantages, Real Life Examples

RAD Models: Overview, Advantages & Disadvantages, Real Life Examples

Last updated:
5th Apr, 2023
Read Time
9 Mins
share image icon
In this article
Chevron in toc
View All
RAD Models: Overview, Advantages & Disadvantages, Real Life Examples

Have you ever wondered how apps like Facebook, Instagram, and Twitter were developed so quickly? Traditional software development methodologies like Waterfall follow a linear progression, where each phase must be completed before moving on to the next. However, for fast-paced industries like technology, this may not be the best approach.

This is where the Rapid Application Development model comes in. RAD is a collaborative and iterative approach to software development that emphasises rapid prototyping and continuous user feedback. With RAD, teams can quickly build and improve software, providing users with a seamless and efficient experience.


Ads of upGrad blog

For example, the popular ride-sharing app, Uber, employed the RAD model to quickly release its initial product, facilitating user feedback and accelerating improvements. As a result, Uber was able to gain a significant market share in a short time and revolutionised the transportation industry.

This article will explore the RAD model, its phases, advantages, disadvantages, and when to use it. 

By the end of this article, you will clearly understand the RAD model’s potential and whether it is the right fit for your software development project.

Unveiling the RAD Model: A Closer Look

The Rapid Application Development model is a software development methodology that emphasises rapid prototyping, iterative development, and swift feedback rather than following lengthy development cycles.

This approach is particularly suitable for projects with evolving or ambiguous requirements, as it allows for quick adaptation to changes. The RAD model’s core principle is minimising planning time and maximising development speed through close collaboration between developers and users.

Because of these reasons, the RAD model can accelerate software development by up to 40% compared to traditional methodologies. Further, a survey by KPMG found that 60% of organisations plan to adopt a RAD or low-code platform within the next two years to accelerate their digital transformation initiatives.

The RAD model uses different key components contributing to its flexibility and agility to achieve this feat. These include:

  1. Iterative Development: The development process is broken down into smaller iterations, allowing developers to focus on specific features or modules simultaneously. This results in quicker delivery and improved adaptability.
  2. Prototyping: RAD heavily relies on creating prototypes, which are working models of the software that showcase its key features. Prototypes help users visualise the final product and provide valuable feedback to developers, ensuring that the software aligns with their needs and expectations.
  3. User involvement: The RAD model encourages active user participation throughout development. This continuous feedback loop enables developers to understand user requirements better and make necessary adjustments, leading to a more user-centric final product.

Real-life examples of RAD in action

The RAD model has been successfully employed in various real-world scenarios, showcasing its effectiveness in different contexts. Some examples include:

  1. Dropbox: The popular cloud storage service employed the RAD model to quickly build a minimum viable product (MVP). This enabled them to test the market and gather user feedback early on, ultimately developing a more refined and feature-rich product.
  2. Spotify: The music streaming giant has utilised the RAD model to iterate and improve its product continuously. By focusing on rapid development cycles and incorporating user feedback, Spotify has managed to stay ahead of the competition and consistently deliver a high-quality user experience.
  3. Airbnb: The home-sharing platform leveraged the RAD model to create a user-friendly and intuitive interface, addressing the unique challenges of connecting hosts and guests worldwide. Through rapid prototyping and iterative development, Airbnb was able to fine-tune its platform to meet the diverse needs of its users effectively.

Phases in the RAD Model

Here are some of the core phases that any RAD model goes through: 

1. Business Modeling

The first phase involves gathering information about the business processes and workflows while identifying areas where the application is expected to provide solutions or improvements. This step is crucial for understanding the business context and aligning the software development with the organisation’s goals and objectives.

2. Data Modeling

In this phase, developers analyse the data requirements and design the data structures necessary for the application. This includes defining data objects, their relationships, and data management rules. The data modelling phase is essential for ensuring that the application can efficiently manage and process the required data.

3. Process Modeling

During the process modelling phase, developers design the software processes to manipulate and manage data. This involves creating flowcharts, process diagrams, and pseudocode representing the various algorithms and functions required to achieve the desired functionality. Process modelling ensures that the application’s logic is well-structured and efficient.

  1. Application Generation: In this stage, the software’s actual coding and development occur. Developers use various tools, languages, and frameworks to build applications based on the data and process models created in the previous phases. Rapid construction techniques, such as code reuse and integrated development environments (IDEs), are employed to accelerate the development process.
  2. Testing and Turnover: The final phase involves rigorous application testing to identify and fix any issues or bugs. This includes unit testing, integration testing, and user acceptance testing (UAT). Once the application has passed all tests and received user approval, it is deployed to the production environment, and user training is provided as needed.

These five phases form the foundation of the RAD model, enabling the rapid development of high-quality software applications that align with business requirements and user expectations. However, it’s essential to note that different sources might vary slightly in the way they define or name the phases. The key aspect of the RAD model remains the same – focused on consistent development aligned with user demands. 

Advantages of the RAD model

The RAD model offers several advantages over traditional software development methodologies, such as the Waterfall model. These benefits include:

  1. Faster Development: RAD’s iterative approach and focus on rapid prototyping allow for shorter development cycles compared to the linear progression in the Waterfall model. For example, the development of Viber, a popular messaging app, employed the RAD model to quickly deliver its MVP, facilitating user feedback and accelerating improvements.
  2. Improved User Satisfaction: Involving users throughout the development process ensures that the end product meets their expectations. By continuously incorporating user feedback, the RAD model leads to higher satisfaction levels than the Waterfall model, where user feedback is typically obtained only after the final product is delivered.
  3. Flexibility and Adaptability: Unlike the Waterfall model, which is less accommodating to changes once the project is underway, the RAD model is highly adaptable. It allows teams to adjust to changing requirements and incorporate user feedback easily, making it suitable for projects with evolving specifications or in dynamic business environments.
  4. Reduced Risk: The iterative nature of RAD enables early identification of potential issues, reducing the risk of project failure compared to the Waterfall model, where problems may only be discovered late in the development process.

Learn Job-ready Program in Business Analytics from upGrad to become a certified Business Analyst professional. Fast-track your professional career after graduation with this Business analytics course with placement assistance.

Disadvantages of the RAD model

While the RAD model offers numerous benefits, it also has some drawbacks that should be considered:

  1. Not Suitable for Large or Complex Projects: The RAD model works best for small to medium-sized projects with well-defined scopes. The collaborative and iterative approach may become unwieldy for large or complex projects, making other methodologies like Waterfall or Agile more suitable.
  2. Requires Skilled and Collaborative Team Members: The RAD model relies on high collaboration between developers and users. It also demands developers skilled in rapid prototyping and familiar with the necessary tools. If a team lacks the required skills or struggles with collaboration, the RAD model may not be effective.
  3. Inadequate Documentation: Due to the fast-paced nature of RAD, documentation can sometimes be overlooked or incomplete. This may cause problems when new team members join the project or when the software requires maintenance and updates.
  4. Higher Initial Costs: The RAD model often requires the use of specialised tools, frameworks, and resources to facilitate rapid development, which may increase initial costs. However, these costs may be offset by the time saved during development and the reduced risk of project failure.

Check out our free courses related to upskill yourself.

With a deeper insight into the RAD model advantages and disadvantages, you can better determine if it is the right choice for your projects and how it compares to other development methodologies, such as Waterfall or Agile.

Explore our Business Analytics Programs from World's Top Universities

Is RAD the Right Model for You?

Here are some questions to consider when deciding if the RAD model is suitable:

  • Are the project requirements likely to change or evolve?
  • Is user feedback a critical component of the development process?
  • Can the project benefit from rapid prototyping and iterative development?
  • Is the project small to medium-sized, with a well-defined scope?
  • Do you have a skilled and collaborative team capable of handling the RAD model’s demands?

If the answer to most of these questions is yes, the RAD model might be the right choice for your project.

When to Use the RAD Model?

The RAD model is best suited for specific scenarios and project types. Consider using the RAD model when:

  • The project has evolving or ambiguous requirements that need continuous refinement based on user feedback.
  • Time-to-market is critical, and rapid development is necessary to stay competitive.
  • The project is small to medium-sized, with a well-defined scope and clearly identified objectives.
  • The development team is skilled in rapid prototyping and has experience using the necessary tools and frameworks.

Read our Other Articles Related to Business Analytics


In conclusion, the Rapid Application Development model offers a flexible, collaborative, and efficient approach to software development. By understanding the RAD model advantages and disadvantages, you can make an informed decision on whether to adopt this methodology for your projects.

To further enhance your business analytics and software development skills, consider enrolling in upGrad’s Job-ready Program in Business Analytics. This comprehensive course provides a strong foundation in business analytics, empowering you to make data-driven decisions and excel in your career. 


Rohit Sharma

Blog Author
Rohit Sharma is the Program Director for the UpGrad-IIIT Bangalore, PG Diploma Data Analytics Program.
Get Free Consultation

Selectcaret down icon
Select Area of interestcaret down icon
Select Work Experiencecaret down icon
By clicking 'Submit' you Agree to  
UpGrad's Terms & Conditions

Our Popular Business Analytics Course

Frequently Asked Questions (FAQs)

1Is the RAD model suitable for all software development projects?

No, the RAD model is not suitable for all software development projects. It is best suited for small to medium-sized projects with well-defined scopes and clear objectives. Projects with evolving or ambiguous requirements may also benefit from the RAD model's flexibility and adaptability.

2Can the RAD model be used for enterprise-level software development?

The RAD model may not be the best approach for enterprise-level software development projects. However, the RAD model can be effective in specific areas within an enterprise-level project, such as prototyping or UI/UX design.

3Does the RAD model compromise on quality in favour of speed?

No, the RAD model does not compromise on quality in favour of speed. Instead, the RAD model emphasises continuous user involvement and iterative development, allowing for early detection and resolution of issues. This results in higher-quality end products that meet user requirements and expectations.

Explore Free Courses

Suggested Blogs

9 Key Skills Every Business Analyst Needs In Order to Excel
Doctors, engineers, data scientists and other such professions demand a lot of focus, will-power, learning ability, anticipation and other similar men
Read More

by upGrad

08 Apr 2024

Business Analyst Salary in India 2024 [For Freshers & Experienced]
Over the years, Business Analysis has emerged as a core business practice in the enterprise and IT sectors. It pertains to understanding the changing
Read More

by upGrad

04 Mar 2024

Top 11 Industry Applications of Business Analytics in 2023
Business analytics uses sorting, collating, processing, and studying data through iterative methodologies and statistical models to generate meaningfu
Read More

by upGrad

22 Sep 2023

Business Analytics Free Online Course with Certification [2024]
Summary: In this article, you will learn more about Business Analytics Free Online Course with Certification. Why Learn Business Analytics? Getting
Read More

by Rohit Sharma

21 Sep 2023

Top 10 Business Intelligence Tools To Improve Business Decision Making [2023]
Business intelligence (BI) tools are applications that collect and interpret massive volumes of unstructured information from internal and external sy
Read More

by Rohit Sharma

28 Jun 2023

What is Excel VBA? Explained with Real Time Examples
What Is VBA? Do you know what VBA stands for? VBA full form is Visual Basic for Applications. This simple, but powerful programming language was deve
Read More

by Keerthi Shivakumar

26 Jun 2023

Types of Sampling Methods & Techniques in Business Analytics [With Examples]
Introduction  Dealing with enormous amounts of data is one of the main challenges in data analytics. It would be unnecessary and even impossible to a
Read More

by Keerthi Shivakumar

21 Jun 2023

Top 15 Ways to Improve Excel Skills [Actionable Tips]
Excel is a powerful spreadsheet software widely used in businesses, organizations, and personal finance management. Whether you’re a beginner or
Read More

by Keerthi Shivakumar

19 Jun 2023

What are Requirement Elicitation Techniques? The Complete Guide
Requirement elicitation is a crucial phase in any software development project, as the success of a project largely depends on how well the requiremen
Read More

by Keerthi Shivakumar

19 Jun 2023

Schedule 1:1 free counsellingTalk to Career Expert
footer sticky close icon