Hello English Assessments: Automated, Proctored assessments for English and communication skills

Get faster ROI on your recruitment process with the Hello English Assessments Platform – access a refined funnel of candidates, reduce cost, logistical challenges and human bandwidth involved in the screening process.

Hello English Assessments is a fully automated, scalable assessment tool to adjudge English and communication skills right at the recruitment stage.

THE CHALLENGE:

While good communication skills are one of the basic requirements for most job roles, it is difficult to assess them without multiple interview rounds – which makes the recruitment process both time and cost intensive. Mass recruiters that rely on walk-ins and job-fairs face a more pertinent need to filter candidates effectively and quickly.

THE SOLUTION

Hello English Assessments allows recruiters to assess candidates on spoken English, writing, listening and reading skills with its adaptive and automated tests benchmarked to global CEFR standards.

KEY FEATURES

  1. AI DRIVEN: Hello English’s AI and ML driven assessments are backed by data from 7000+ organizations and 50+ million users, making them highly reliable and accurate. The app understands a wide range of accents which helps recruiters assess candidates from different parts of the world.
  2. AUTOMATED: The test taking process and result generation is completely automated and available for the recruiters immediately through real-time dashboards.
  3. INSTANT REPORTING: The platform provides near real time candidate-wise report cards – leading to faster informed decision making. With data from 7000+ organizations, the platform can also help recruiters with comparative analysis of candidates against industry standards to gauge the quality of their recruits.
  4. VOICE LED: The platform is powered by one of the world’s most powerful voice recognition engine which allows evaluation of spoken skills through open ended and limited input formats.
  5. PROCTORED: These assessments can be taken anytime and anywhere without the need for invigilation as the tests are voice and image proctored. The platform collects voice and image inputs throughout the duration of the test to detect any instances of cheating – making the tool massively scalable and eliminating the need to book a location to conduct interviews.

The tool is a great fit for organizations with front facing workforce or where English is the de-facto language of communication. Companies across hospitality, retail, BFSI, restaurants trust our platform for recruitment/ training fitment evaluation.

RESULTS:

Our assessments are trusted by top MNC for their recruitment and training assessments.

  1. 67% SELECTION RATE FOR A LEADING AIRLINE:
    One of the top Indian airlines used Hello English assessments to replace their walk-in drives for ground staff roles. Hello English enabled reduction of funnel size by 80% and 67% candidates recommended by Hello English eventually got hired.
  2. MASSIVE SCALE FOR A LEADING FINANCIAL SERVICES ORGANIZATION:
    A financial services client implemented the platform to assess the English ability of  2000+ employees and used the data to recommend them to the right training programs

 

HOW CAN YOU LEVERAGE THE HELLO ENGLISH ASSESSMENTS PLATFORM?

The go-live process for Hello English assessments is extremely simple, efficient and automated. Test takers only need to download the app and take the test using a one-time unique identification code which is sent to them via SMS. The assessments can be taken at any time, from anywhere and in-turn recruitment teams instantly get a detailed analysis of the candidates’ English skills across key parameters along with a list of recommended candidates.

To make your recruitment process faster, cheaper and efficient, reach out to us at prachi@culturealley.com

 

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>