Resume Parser is an application that parses resume for specific skills according to Job Descriptions and provides results in Excel format. The candidate’s eligibility for the job can be determined based on the skills obtained, frequency of skills acquired, and the percentage of skills obtained.
During the hiring process, the most time-consuming task for employers is screening resumes of candidates when they are seeking specific skillsets. The Talent Acquisition department needs more time and resources to filter through many resumes to find an appropriate candidate.
The Engineering team at Calsoft had initially come up with an informal UI which was more of coding at the command Line Interface. A blueprint was ready but with an unappealing UI, which would have perplexed the Acquisition team. Hence an urge for a better UI originated and the UX came to their rescue.
I was the sole contributor for this module
Figma, Miro
Talent Acquisition Team are the main users of this product essentially during the peak hiring process
I was briefed about the project, it’s requirement, functional specifications and the end users of this product. The hiccups they were facing in showcasing the built framework and the challenges off-course! Based on the inputs from the Engineering, the UX design process was followed. During the Ideation phase, gathered all the specification documents that were drafted for the project. Thoroughly checked each of them and came up with a User Flow diagram. Performed Competition Analysis, especially for the Search Engine aspect from the job portals. The draft design version was run through the team to get their feedback and updated the mocks based on the suggestions placed.
This application helped the Talent Acquisition Team especially during the peak hiring process. The turn around time was drastically reduced in scrtunizing the appropriate candidates profile.
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