Recruitment Analytics

By harnessing the power of data, organisations can gain a comprehensive understanding of their recruitment performance and refine their strategies for attracting, assessing, and hiring top talent.

Data Collection and Tracking: Establish a robust system to collect and track relevant recruitment data.

Key Performance Indicators (KPIs): Define a set of key performance indicators that align with the organisation’s recruitment goals.

Sourcing Channel Analysis: Utilise data to evaluate the effectiveness of different sourcing channels

Conversion Rate Analysis: Analyse the conversion rates between each recruitment stage. Identify bottlenecks or drop-offs in the process.

Time-to-Fill and Time-to-Hire: Monitor the time it takes to fill a job vacancy and the time it takes to complete the hiring process.

Cost Analysis: Assess the cost associated with various recruitment activities.

Candidate Experience Metrics: Gather feedback from candidates about their experience throughout the recruitment process.

Quality of Hire: Analyse the performance and retention rates of candidates hired through different channels or methods.

Predictive Analytics: Leverage historical data to make predictions about future recruitment needs, such as seasonal hiring spikes or turnover rates.

Comparative Analysis: Benchmark your recruitment metrics against industry standards and competitors’ practices.

Continuous Improvement: Regularly review and analyse recruitment data to identify trends, areas of success, and opportunities for improvement.

Feedback Loop: Establish a feedback loop between the recruitment team and hiring managers.

Data-Driven Decision-Making: Base recruitment decisions on the insights derived from data analysis rather than solely relying on intuition.

This data-driven approach ultimately contributes to building a strong and capable workforce that drives the organisation’s success.

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