PH Deck

Users currently rely on manual hiring processes involving time-consuming resume screening, scheduling interviews, and evaluating candidates. Manual resume screening, time-consuming interviews, and inefficient candidate matching lead to prolonged hiring cycles and potential mismatches.

Users face inefficiencies and chaos in traditional hiring processes, which involve manual screening, insecure data handling, and lack of transparency. Manual screening, insecure data, and opacity lead to delays, bias, and mistrust.

Users (companies) rely on manual or fragmented recruitment processes time-consuming hiring processes, high recruitment costs, and limited access to global talent pools

Job seekers struggle to find relevant opportunities and employers face inefficient hiring processes due to manual resume screening and paid job postings on traditional platforms.

Users manually sift through applicants in traditional hiring processes, which is time-consuming and risks missing top candidates due to inefficient screening methods.

Users face challenges in writing books, including slow progress, lack of creativity, and overall complexity.

Users struggle with AI-generated content that lacks human touch and readability

Traditional hiring processes are time-consuming and labor-intensive, involving manual CV screening, conducting video interviews, and scheduling interviews with potential candidates. The drawbacks of the old situation include higher time consumption and significant effort required in hiring.

Users might struggle to engage in meaningful and interactive conversations, find AI tools, or streamline their day-to-day activities efficiently.

Recruiters currently engage candidates manually, sort through resumes, and conduct interviews manually, leading to inefficient talent screening and prolonged hiring cycles.