Launched in 2012, ZALORA is a fashion e-commerce platform, with a presence in Malaysia, Brunei, Taiwan, Indonesia, Singapore, Hong Kong, and the Philippines. It is a part of the Global Fashion Group, the world’s leading online fashion and lifestyle destination in growth markets.
ZALORA offers a range of top international and local brands, designer apparel, as well as in-house labels across shoes, clothing, accessories, etc., for men, women, and children. Headquartered in Singapore and in Malaysia, it is a privately-owned company, with approximately 1,500 employees worldwide. ZALORA has over 200,000 fashion products and is considered the leading technology-powered fashion player in Southeast Asia.
ZALORA hires both experienced developers and fresh graduates, in a percentage ratio of 70:30 (approx.), respectively. While the experienced developers are usually assessed based on their knowledge of data structures and system design, the fresh graduates are judged on their understanding of basic algorithms, knowledge of coding skills, and ability to learn new technologies.
Without skill-based assessment tools, the recruitment team at ZALORA found it challenging and time-consuming to judge the coding skills of developers.
“When we did not have an assessment platform in place, it was challenging for us to judge the developer’s coding skills and their algorithm knowledge.” – Phuong Huynh, Technical Recruiter, ZALORA
ZALORA was not satisfied with its traditional hiring process for recruitment. Going through the profile of each developer manually and then interviewing them made the entire process cumbersome and time-consuming.
“When developers attend interviews, we dedicate a lot of time. For instance, for each role, we get at least ten candidate applications. Normally, for each candidate, we would end up investing an hour for interviewing. Imagine doing that for ten people. Also, in the end, only 20% of candidates are selected, which means a lot of time is wasted.” – Phuong Huynh, Technical Recruiter, ZALORA
In addition, hiring through this process delayed the time to roll out an offer to a promising candidate – it took a month to finally close an offer. This process took a toll on scaling ZALORA’s recruitment process and normalizing the interview-to-hire ratio.
Before HackerEarth Recruit, ZALORA tried its hands on another test assessment platform. However, the complicated user interface and high pricing were a hassle. The inability to customize assessments as per its business requirements didn’t work well for ZALORA. The company wanted to opt for a more customized assessment solution that would best suit its needs.
ZALORA has been using HackerEarth Recruit for the past 3 years and is satisfied with the product experience. The company has been using the platform to hire top technical talent for its offices in Singapore, Malaysia, and Vietnam. They switched over to HackerEarth Recruit because of the flexibility, customization, and the user-friendly interface offered by the platform. In 2018, using Recruit, ZALORA hired 35 developer candidates for different job openings.
The quality of the shortlisted candidates has increased. With Recruit, 47% of candidates pass the test, out of which 70% candidates are hired. However, earlier, the percentage of candidates hired was much lesser
By using HackerEarth Recruit, the entire recruitment process at ZALORA was streamlined. The quality of candidates increased drastically and so did its interview-to-hire ratio. ZALORA continues to use HackerEarth Recruit to hire the best developer candidates it truly believes will make active and meaningful contributions to the company’s development.