Coding assessments, simulators, proctoring
IT
Chordify is a premier consulting player with 65 years of IT services and project experience. The company has differentiated by addressing one of the most vexing challenges in a growing business – enabling quality hiring for niche skills using its network and database of highly talented professionals. This has empowered several early-stage technology companies and large enterprises to maintain their competitive advantage.
Chordify had a focused methodology toward its lateral workforce hiring. However, its hiring managers devoted significant time in identifying the right candidates before commencing the interview process. A long list of considerations such as recruitment needs, skill levels, and competency gaps prolonged the activity, with multiple interview rounds.
Chordify also assisted clients by offering its consultants as temporary employees for external projects. The client involvement was high during the shortlisting process as it needed to consider various parameters, from comprehending the consultants’ perception of the problems to their potential of solving them. Hence, they often dealt with a disproportionately large number of resumes to ensure the clients received the best quality talent. It was a time-consuming and complicated process for all stakeholders, often resulting in losing out on onboarding the best talent.
Additionally, hiring managers at Chordify were expected to comprehensively screen quality technical candidates, customized as per requirements. However, as they were often hiring for specific expertise, each candidate could have the same background and expectations as those on-boarded in general.
Hence, there was often limited clarity about the precise hiring requirement, coupled with the HRs limited knowledge of the expansive technical domain. Regrettably, the company would either end up shortlisting applicants without testing their skills or design unreasonably challenging assessments, filtering out even the most deserving ones. Hence, the problems mentioned-above hindered the company’s ability to foster a continually competitive technical recruitment process with quality talent delivery. It realized that enhanced assessment would enable it to execute contextual and successful hiring.
Chordify realized the need to gain a holistic overview of candidates’ potential by assessing their skills. It also wanted to speed up the time-to-hire while boosting quality decision-making. Chordify believed in sifting through a massive pool of candidates, and making better selection decisions from the onset would ensure reliable and successful hiring, internally and externally.
Thus, Chordify was actively exploring a partner that could employ innovation to deal with its gamut of challenges, including:
Chordify hired and built winning teams for various niche technical roles. However, certain inefficiencies hindered the process. Therefore, it wanted to employ a dynamic, secure and scalable battery of coding assessments and simulators to comprehensively assess and evaluate candidates on knowledge, skills and roles. It wanted to reduce the hiring time and scale technical hiring efforts. Additionally, the solution needed to be location-agnostic and language-agnostic, supporting all major technologies and roles.
Chordify wanted to chart the growth plans of candidates and existing employees by measuring their skills, personality and abilities. An in-depth analysis of their hidden skills, strengths and weaknesses could be leveraged by the companies’ L&D department to integrate a signature training approach. It meant the company would work on candidates’ skills and traits specific to technical professions to maximize their chances of success. This would consequently improve Chordify’s selection and hiring quality, benefitting all stakeholders.
Chordify did not wish to micro-manage the applicants by continually invigilating them. It believed the hiring team could focus elsewhere, on more important matters, than proctoring the applicants. Therefore, it needed a platform with proctoring solutions and state-of-the-art anti-cheating features to save time and negate dishonesty or misconduct.
Chordify witnessed bias and undue favors during the interview process by the external panel, which was discounting the effort of its hiring managers. Chordify wanted to deter decision-makers from wrongful shortlisting and optimize the efforts of those involved. Therefore, it sought an evidence-based analysis with detailed automated reports that would be an excellent predictor of a candidate’s potential and performance. It could guarantee authenticity and ensure only the most deserving candidates were selected.
On average, Chordify was sifting through forty resumes a day to find the right technical professionals with niche skills across job levels. It included analytics, data science, data engineer, mobile developer, software quality assurance and several such IT roles. Therefore, it needed the flexibility to design assessments while having access to question banks for diverse programming languages and technologies.
Chordify wanted its requirements to be supported by highly-automated systems and technology. It examined several options before partnering with Mercer | Mettl.
Mercer | Mettl gained detailed insights into Chordify’s hiring strategy
It deduced that by offering significant filters along the hiring process, the hiring managers at Chordify could prevent shortcomings in employee hiring, training and performance quality.
After extensive discussions, Mercer | Mettl’s team suggested combining application and knowledge-based assessments for successful hiring. It was a transparent, fair and timesaving package that addressed Chordify’s concerns.
Mercer | Mettl engaged two innovative and practical solutions, including best-in-class coding assessments and a unique simulator – ‘Mettl I/O’ – to test real-world coding skills. The solutions were backed by Mercer | Mettl’s AI proctoring to conduct secure virtual coding tests.
Here’s how the combination solved Chordify’s challenges.
Mercer | Mettl’s digital assessments offered an unmatched array of technical questions, suiting new-age programming languages, frameworks, technologies and skills requirements, evaluating potential candidates. They provided a comprehensive summary of candidates’ coding knowledge.
Mercer| Mettl coding assessments provided the following solutions:
Assessments to filter the best
The coding assessment platform offered an extensive programming test library, replete with 100,000+ technical questions for 300+ skills, enabling Chordify to devise assessments using Mercer| Mettl’s exhaustive question bank. Also:
Chordify wanted to identify its experienced applicants’ technological expertise. Hence, this unique, all-in-one role-based simulator evaluated them using real-world, hands-on and project-based tasks. With the most extensive library of coding simulators, spanning all major tools and technologies used in the technology industry, Mercer | Mettl I/O was used to understand the candidates’ depth of coding skills.
Mercer | Mettl I/O provided the following solutions:
1. A fully configurable and customizable environment:
With best-in-class IDEs and tools, Mettl I/O enabled Chordify to access a comprehensive coding environment to evaluate developers, QA Engineers and several other such roles.
2. Insight into real-life coding skills:
By using Mettl I/O’s integrated development environment, Chordify allowed the candidates to solve a customized coding problem in their preferred programming language.
3. Access to an exhaustive and rare ‘tech stack’:
Mettl I/O offered Chordify a comprehensive coding environment for all major programming roles (Front-end, Back-end, Database, Full Stack, Data Science, DevOps, QA engineers, etc.) supporting all major languages and technologies.
Technical assessment aside, maintaining the integrity of the test and the company was a significant concern. Therefore, a dynamic set of proctoring features were employed, with a stricter focus on monitoring, analysis and scrutiny to maintain Chordify’s integrity.
1. 3-point candidate authentication:
Given the technical applicant pool’s diversity and the fact that remote assessments were becoming common, Chordify was particular about ensuring that only genuine applicants were taking the assessments. Hence, the Mercer | Mettl team enabled a 3-point candidate authentication system with a prerequisite that candidates had to allow for sharing their screen, video and audio, following which:
2. Video proctoring:
Chordify did not want to involve its hiring managers in proctoring. However, it wanted to conduct reliable assessments remotely, by leveraging proctoring as a solution. Hence, the Mercer | Mettl team initiated record and review proctoring on its coding assessment platform.
3. Mettl Secure Browser (MSB):
Mettl Secure Browser (MSB), specifically designed to provide secure navigation control during test-taking, was also leveraged on the coding assessment platform for Chordify. MSB, a focused full-screen browser window, didn’t allow for minimization of the assessment screen or any interaction with other screens.
The feature:
Mercer| Mettl’s combination of coding assessments and Mettl I/O provided the following solutions:
1. Learning and development:
Chordify wanted granular insights into applicants’ strengths, weaknesses, skills gaps and growth opportunities relevant to their success as a technical professional. Hence, by utilizing the coding assessment platform and Mettl I/O, hiring managers at Chordify:
2. Fully auto-grading support:
Chordify wanted to bolster its hiring decision and substantiate hiring suggestions for external projects based on authentic score reports. It understood that the validated scores showcasing the candidates’ ability and compatibility, in tandem with the job requirement, would uphold their selection. Hence, Chordify could evaluate candidates in detail, using the custom scoring logic for both assessment and simulation tests.
3. Shorter decision-making cycle:
Instead of taking days or months to culminate a hiring process that often impaired hiring efficiency, Mercer | Mettl solutions:
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