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The module is built to streamline coordination, improve candidate experience, and optimize resource utilization across all stages of the hiring drive.

Problem Statements

  • Resourcing utilization and allocation
    Inefficient planning and estimation can lead to suboptimal resource allocation—either underutilization or overallocation of interviewers and panel members.
  • Poor candidate experience
    In a volume hiring scenario, candidate experience can suffer due to rescheduling, delays, and cancellations, often leading to drop-offs.
  • Inadequate tracking and reporting
    Lack of comprehensive tracking makes it challenging for hiring teams to identify bottlenecks and address them in real time.
  • Lack of automation
    Manual scheduling for large-scale hiring leads to errors, conflicts, and significant recruiter workload. Automation helps eliminate these inefficiencies.

Talview Features

Mobile-friendly Interview Scheduling with E-Lobby Support

Candidates can:
  • Pre-book interview slots before the drive
  • Register on the day and join an E-lobby to wait for their turn
    This ensures a smooth candidate flow and can be managed directly from mobile devices.

Hyper-Scale Drive Management

Plan and manage drive days at scale with intelligent resource allocation.
Leverage candidate registration data to anticipate turnout, preventing last-minute scheduling or panel shortages.
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Efficient Candidate Engagement

Engage candidates during waiting periods with brand materials such as “Why Work With Us” content or informational videos—turning downtime into meaningful engagement.

Real-time Interview Tracking

Track interviews, room utilization, and panel activity in real time.
Drive coordinators can monitor candidate flow, identify delays, and take action instantly to ensure optimal utilization and on-time completion.

Reporting and Analytics

Comprehensive reports and dashboards track key metrics like:
  • Candidate conversion rate
  • Interview completion rate
  • Resource utilization
These insights enable better forecasting and process improvement for future drives.
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