PH Deck

Users currently manage hiring processes manually, which involves time-consuming tasks like creating job descriptions, screening resumes, conducting interviews, and onboarding. Drawbacks include time-consuming manual processes, potential human bias, and lack of data-driven insights.

Users face slow hiring processes and lack of instant feedback with traditional recruitment methods, leading to inefficiency for recruiters and limited preparation for job seekers.

Recruitment process involves manual tasks, leading to inefficiencies, delays, and potentially missing out on top talent.

Startups rely on traditional hiring methods like resumes and interviews to evaluate student talent, which fail to assess real-world problem-solving skills and lead to mismatched hires.

Founders and operators struggle with streamlining their hiring process, facing difficulties with efficiently hiring the right talent and managing the workflow.

Recruiters manually screen resumes, which is time-consuming and prone to human bias and inefficiency

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.

In the current hiring landscape, users (both job seekers and employers) rely heavily on traditional resumes and written applications, which fail to effectively convey an applicant's personality and multifaceted skills.

The drawbacks of this old situation include the inability to fully showcase a candidate's unique qualities and real self, leading to impersonal hiring processes.

Users previously relied on fragmented IPTV solutions with compatibility issues across devices, poor interfaces, and inconsistent streaming quality.

Users currently rely on manual resume screening, conducting interviews, and evaluating candidates, which leads to inefficiency, human bias, and scalability challenges.