iMocha
92 Case Studies
A iMocha Case Study
JLL, a global leader in real estate services, needed to hire Front-end and Data engineers but relied on traditional pen-and-paper/online document assessments that required manual evaluation, lacked data-driven insights, and stretched the hiring cycle—often taking 3–4 weeks and risking loss of top candidates. To address this, JLL engaged iMocha and adopted iMocha’s skills assessments for lateral hiring.
iMocha worked with JLL’s hiring team to build role-specific automated assessments, eliminating manual scoring and providing in-depth, data-driven results. With iMocha’s solution, JLL assessed 20 candidates, shortlisted 4 quality candidates, reduced time-to-hire by 55%, and moved from a 3–4 week shortlisting window to completing shortlists and interviews within a week.