Autoscreen, an innovative application designed to streamline the candidate screening process for recruiters by integrating performance evaluations based on questions, responses, and skill tests.
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Challenge
Recruiters and HR departments face significant challenges in efficiently screening large volumes of applicants to identify the most qualified candidates.
Traditional methods are time-consuming, prone to bias, and often fail to accurately assess candidates’ skills and fit for the role.
Volume of Applications: Sifting through hundreds or thousands of applications for a single position.
Quality of Hire: Ensuring candidates not only have the necessary skills but also fit the company culture.
Efficiency: Reducing the time to hire without compromising the quality of the screening process.
Bias: Minimizing unconscious bias in the screening process.
Candidate Experience: Providing a positive experience to all applicants, regardless of the outcome.
Our Design Process:
User Research: We Conducted interviews and surveys with recruiters, HR professionals, and candidates to understand their needs, frustrations, and expectations.
Persona Development: We created detailed personas for both recruiters and candidates to guide the design process.
User Journey Mapping: We mapped out the entire screening process from both the recruiter and candidate perspectives to identify key touchpoints and opportunities for improvement.
Prototyping: We developed low-fidelity prototypes to quickly explore different design solutions and high-fidelity prototypes to refine the user interface and interactions.
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