The scope of analytics data tracked by AutoRefs is comprehensive, monitoring the entire reference process from end to end.
AutoRefs Analytics centralises data across the entire reference process – from employer request creation to applicant referee addition to referee completion – to reveal optimisation opportunities. Key metrics like reference volume, referee conversion rate, and response rate over time provide a comprehensive overview. AutoRefs builds additional visibility into the referencing process to improve your software experience by tracking engagement levels across employers, applicants, and referees.
AutoRefs visualises all analytics data through clear graphs, with no complex tables or numbers to analyse.
Each metric – Reference Requests, Referees Added, References Completed and Response Rate – is plotted over time. This could be for the last 7 days, month, quarter, or custom duration. The graphic format makes trends effortless to understand immediately. For example, you can instantly see if response rates are improving over time or if referee additions are consistent month-to-month. By removing data analysis complexity, the visual nature of AutoRefs Analytics provides convenient insight for all users.
Custom Date Ranges
AutoRefs lets you drill down with custom and preset date ranges to home in on data and measure results.
As well as presets like last 7 days, 30 days, quarter, and year, you can pick any start and end dates to analyse. You can assess reference activity over specific campaigns, seasons, or timeframes relevant to your business. For example, analyse the impact of adding video references during a 2-month summer internship. The custom date configuration gives you flexibility compared to rigid reporting. By drilling down into tailored date ranges, you can investigate response rate changes, seasonal variations, and the impact of process changes over time based on your unique requirements.
AutoRefs Analytics provides real-time data, updating every 24 hours to give an instant snapshot of your latest metrics.
The numbers shown for Reference Requests, Referees Added, References Completed, and Response Rates are current rather than historic. You can always access accurate, up-to-date statistics without relying on manual tracking or exports. Thanks to visual graphics, you can see real-time data, allowing you to monitor live changes and trends. For example, you can instantly see if a recent referee communication campaign has improved response rates day by day. Access to evergreen and fresh analytics ensures you can closely track reference activity and software effectiveness by removing data lag and manual tracking.
At a more detailed level, AutoRefs Analytics tracks critical metrics across the entire reference process to identify optimisation opportunities.
The number of Reference Requests created inside the software is logged. Monitoring request volume over time reveals patterns in processes. Next, References Completed indicates how many referees are fully finishing references. Comparing this to Referees Requested added by applicants shows the conversion rate and can highlight if more referee reminders are needed. Referee Response Rate calculated by AutoRefs provides visibility into engagement levels over time. A decreasing response rate may signal that communications need changes.
Of all the metrics tracked by AutoRefs Analytics, the response rate is the most crucial for reference-checking software.
Response rate measures the percentage of referees completing a reference out of applicants’ requests. Low response rates are the biggest referencing challenge. Manually chasing unresponsive referees or sending repeat requests is time-consuming and frustrating, dragging out processes and delaying hiring decisions. AutoRefs drives higher response rates by removing the need for referees to create accounts or logins before completing references. It’s as simple as completing a form.
Why Analytics Matters
Access to in-depth analytics provides significant value to teams and administrators overseeing the referencing process.
Firstly, comprehensive analytics saves manual tracking effort. Rather than compiling metrics in spreadsheets, AutoRefs automatically centralises data across employers, applicants, and referees. This removes the need for manual exports or calculations, saving time and ensuring accuracy. Secondly, visual data enables instant insights. Seeing reference volumes, conversion rates and response metrics plotted over time makes trends effortless to digest rather than analysing tables of numbers.
Transform Your References
AutoRefs Analytics gives HR departments invaluable data-driven insights to optimise referencing end-to-end.
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