SVAR enables automated evaluation of fluency, pronunciation, listening and comprehension of English language with consistency and accuracy.
The importance of English communication for jobs in the knowledge economy cannot be overrated. Any job involving customer interaction, be it in sales, customer service or the hospitality industry, requires both comprehension of spoken English and the ability to speak in English in a neutral accent. Even in jobs such as software development or analytics, there are multiple client interactions in the project life-cycle which require spoken English skills. Additionally, there is substantial evidence that spoken English skills lead to better employment outcomes, wages and growth. There is a huge need of being able to evaluate English accurately, in an automated way and remotely as well.
SVAR uses advanced speech recognition and machine learning algorithms to accurately gauge the quality of speech in various accents against a neutral accent. It contains sections where the candidate has to respond based on the dialogue s/he hears, repeat or read in English and also speak extempore (spontaneous speech). The tool provides a holistic score based on the CEFR standard, but also gives out individual scores on pronunciation, fluency, active listening, spoken English understanding, grammar and vocabulary. All these scores are based on a rubric and benchmarked against experts. Additionally, the SVAR report also provides job recommendations based on the scores: for what roles is the candidate hireable or trainable. This makes SVAR the most comprehensive tool to measure English listening, comprehending and speaking skills. SVAR’s advanced algorithms provide a score which mimic the expert scores with an agreement around 0. 95 (Pearson coefficient of correlation). It has been benchmarked with natives of multiple countries including India, Philippines, the Middle East and Americas. Our research team has capabilities to benchmark the tool fast for new geographies, new roles and requirements. SVAR has been used in the recruitment funnel for customer service and sales roles. It has helped companies improve recruitment efficiency by over 35% and reduce voice evaluation costs by 55%. SVAR when used on large scale can increase your sourcing reach exponentially. SVAR is often used together with AMCAT Logical Ability and personality assessment in the call centre industry, providing performance improvements, on average, by 1.4-1.6 times. SVAR can be delivered using a computer or over a voice connection. Benchmarked extensively to work on mobile phone bit rates, the tool maintains its accuracy even while being delivered over a land line or a mobile connection. This helps use the tool remotely for evaluation. SVAR ensures integrity and capability to auto proctor by its advanced voice signature feature. At any time in the future, it can be verified if the candidate actually took the test on his or her own.