AI-EnglishPro - Business English Proficiency Test

Candidates Assessed

26157+

Organisations Served

132+

Our Pre-employment Business English Proficiency Test is the most preferred online skills assessment by recruiters and hiring managers to quantify English language proficiency of candidates. The test evaluates a candidate's speaking, writing, reading, and listing skills. The online English language proficiency test for employment is useful for hiring every role. This English proficiency assessment test can reduce hiring cost and time-to-hire by 40%.

AI-EnglishPro Test

About AI-EnglishPro - Business English Proficiency Test

English is the language used in most international business transactions. A report published by Cambridge Assessment in 2016 proved that English skills are lacking on a global scale, especially in business. AI EnglishPro is a business English proficiency test that is aimed at assessing the level of English proficiency for existing as well as potential employees. It is a 30 minute test divided into four parts: Speaking, Writing, Reading and Listening. It adheres to the CEFR standards (Common European Framework of Reference for Languages) in its marking pattern, level of difficulty/proficiency and content curation. 
 
Why use AI-EnglishPro - Business English Proficiency Test?  
 
As per Cambridge English, IT employees need to possess varying degrees of business English skills to carry out their jobs. Therefore it becomes imperative that along with the core skills, employees are also assessed on their business English skills. 
 
However, most of the assessments are home-grown, lack reliability, and are prone to biases. Business English skills assessment must be reliable, conform to accepted standards, and free of biases. In addition, it must be scalable to conduct mass recruiting in a swift, accurate, and timely manner.  
 
iMocha has designed AI-EnglishPro - an innovative tool to tackle these challenges. Our online business English proficiency test is based on four pillars of language namely clarity, precision, understanding and context. AI-EnglishPro is an AI enabled, easy-to-use assessment which provides sentiment analysis, contextual understanding, and business language domain.

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Test Summary

English language proficiency assessment test is designed keeping in mind the Council of Europe’s Framework of Reference for Language (CEFR) with focus on Speaking, Writing, Reading, and Listening skills. AI-EnglishPro uses Natural Language Processing tools, Computational Linguistics, and Text Analysis to provide input about the proficiency levels of the candidates and/or your existing employees. 
 
Business English language proficiency test evaluates business English proficiency on the core parameters like Reading, Writing, Speaking, and Listening with accurate and intelligent sentiment analysis.

Test Duration: 40 minutes

No. of Questions: 12

Level of Expertise: Mid/Expert Level

Useful for hiring

  • Sales Representative
  • Marketing Professionals
  • Customer Support Executive
  • Technical Support Executive
  • Customer Service Representative
  • Customer Success Associate
  • Entry Level Graduates
  • Business Analysts
  • Project Managers

Topics Covered


Grammer

The pre-hire test checks candidate’s English grammar to judge candidate’s speaking and writing ability.

Vocabulary

 The pre-employment English test assesses command over English language.

Reading Comprehension

 The pre-hire assessment evaluates candidates to judge reading accuracy and fluency in understanding text and conveying information of what they have read.

Sample Questions

Choose from our 100,000+ question library or add your own questions to make powerful custom tests

Question types:

Multiple Option

Topic:

-

Difficulty:

Easy


Q 1. Read the scenario given below and answer the question.
 

Technologies used for digital transformation can also be leveraged to enhance trust—when they’re used to enhance transparency, reinforce ethical practices, boost data privacy, and harden security.

GAINING customers’ trust—not just in a business’s products and services, but in its core purpose and principles—is fundamental to an enterprise’s success. But what if efforts to drive your business’s success also increase the risk of sparking customers’ distrust?

That’s the dilemma that many business leaders find themselves in today as they pursue digital transformation efforts to embed technology into every facet of their operations. With the advent of digital technology, businesses have been asking customers to trust them in new and deeper ways, from asking for their personal information to tracking their online behavior through digital breadcrumbs.

At the same time, technology issues like security hacks, inappropriate or illegal surveillance, misuse of personal data, the spread of fake news and misinformation, algorithmic bias, and lack of transparency are regularly hitting the headlines.

 
What do you think the resolution to the situation described above should be?
 
The good news is that the same tools and technologies that drive digital transformation—and whose careless or unethical use can sabotage trust—can also help build trust among stakeholders and create benefits for society. When used to enhance transparency, reinforce ethical and responsible practices, boost data privacy, and harden security—activities that we call the four pillars of trust digital tools and technologies can serve as positive enablers of both transformation and trust.
Enabling customers to easily evaluate the company and its offerings. One of the things digital platforms are experimenting with is providing more transparency around their business models.
Providing a line of sight into supply chains. Manufacturers and logistics companies are implementing technologies such as blockchain across their supply chains. Such technologies can track production sources and handling conditions, mitigating concerns about product safety (e.g., food and medicine), sustainability, and social responsibility (e.g., apparel and fisheries), authenticity (e.g., luxury goods), and more.
None of the above

Question types:

Fill in The Blanks

Topic:

Fill in the gaps

Difficulty:

Easy


Q 2. Read the passage given below and fill in the blanks with the keywords given below.
 

Today, akin to the early road design and construction of Rome, Fourth Industrial Revolution (4IR) technologies like the Internet of Things (IoT) and cloud computing us in ways we never imagined. This has led to an unprecedented level of business innovation and advanced technical solutions while also creating a converging landscape of cyber, financial crime, and money laundering risks. These blurred lines have, in turn, birth to new and more innovative forms of financial crime—forms that are sophisticated in their approach and agnostic to industry and geography.

Traditionally, these threats manifested the financial sphere, but they’re now surfacing in other industries as well. From our homes to our workplaces to our cars and airports, our collective connectivity increases the digital attack surface for cyber, with potential threats cutting smart factories, health care institutions, and even home appliances.

Keywords: Connect, Across, In, Had, Given

Sample Report

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Skill wise performance report by iMocha

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You can customize this test by

Setting difficulty level of test      

Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.                       

Combining multiple skills into one test

Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.                                              

Adding your own questions to the test

Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.                       

Requesting a tailor-made test                  

Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

Trusted By

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“Siemens needed an employee review metric that was based on pure data, making it simpler for the hiring managers to evaluate their team. At the same time, we wanted the employees to be able to show case their domain knowledge and skills without the fear of any biases affecting their review process.”

Ajay Garg, Associate Manager, Siemens

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