5 Essential Recruitment Metrics — Talent Analytics
Started as a company’s first Talent Acquisition Manager? What data are other talent leaders measuring? Where to start with talent analytics?
My experience comes within Technical Recruitment meaning this blog has a Tech angle to it, however the principles can be taken into most sectors.
Data driven decision making is imperative. To fine-tune your recruitment strategy and secure quality hires, tracking and analysing key metrics are essential. It’s important we look beyond the numbers and see what the Data is telling us!
In this blog post, we’ll delve into five critical recruitment metrics that hold great significance in the talent sector. By keeping an eye on these metrics, you can gain valuable insights into your hiring processes and make informed choices. So, let’s get started!
Time to Hire
Time to hire (TTH) measures the duration between opening a job position and successfully hiring the right candidate. It offers a glimpse into the efficiency of your recruitment process.
A shorter time to hire suggests smooth operations, effective screening, and seamless collaboration among hiring teams. Conversely, a longer time to hire might indicate obstacles such as too many interview rounds or decision-making delays.
By keeping track of this metric, you can pinpoint areas for improvement and optimise your hiring timeline. Equally, this feeds into forecasting. If you know when you need a specific hire/s, you can work backwards to identify when you need to start recruiting the role.
TTH = Date of Hiring Decision — Date of Job Opening*
*for pipeline roles I use from when the candidate entered the process
Funnel to Make One Hire
How many candidates do I need at each stage to make one hire?
It’s crucial to analyse these numbers to forecast and view trends in efficiency. Once you have this information, correlate this to the volume of roles you have and you can see the output needed to achieve your hiring targets.
Forecasting — Do you have the resources to meet your targets? Do you need to hire more Talent Partners?
Efficiency — How do your numbers compare to history? Have you changed processes negatively impacting TTH? Does your team focus now on specific sources which has improved efficiency?
Funnel Stage (number) = Number of Candidates at Hiring Stage / Number of Hires
Conversion / Passthrough Rates
Conversion rates measure the effectiveness of your recruitment funnel by tracking the percentage of candidates advancing from one stage to the next.
In relation to the previous metric, conversion rates help identify stages where candidates are most likely to exit, allowing you to present these bottlenecks to senior stakeholders with a view to changing processes. Understanding where candidates drop out most frequently allows you to enhance your recruitment process, boost efficiency, and reduce candidate attrition.
E.g. you see your conversion rate falls significantly at a certain stage. The stage in question is a take home tech test — candidate feedback shows they don’t have time or are unwilling to do them. You can then implement a replacement for this once you present and discuss a solution.
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Conversion Rate = (Number of Candidates Progressing to the Next Stage / Total Number of Candidates at the Previous Stage) x 100
Diversity Through the Pipeline
Talent has a huge part to play in Diversity, Inclusion & Equality. Monitoring diversity through the pipeline allows you to assess the representation of various demographic groups at each hiring stage.
By analysing diversity metrics such as gender, ethnicity, and other relevant factors, you can ensure your recruitment efforts are fair and equitable. Combining diversity metrics with conversion rates provides insights into potential biases that might hinder diverse candidates’ progression. With this information, you can devise strategies to improve diversity and create an inclusive recruitment process.
I.e. inclusive wording on adverts, interviewer training on various biases.
Source of Hire
Tracking the source of hire provides insights into the most successful candidate acquisition channels and methods. By analysing this metric, you can identify the most effective sourcing strategies for your organisation.
Whether it’s direct applicants, referrals, sourcing, or other channels, understanding the best sources of hire allows you to allocate resources wisely and concentrate your recruitment efforts where they yield the highest quality candidates.
Tie this into the passthrough diagram above to see how strong each source of hire is throughout the process!
What tools will help me do this?
- Google sheets / excel
- Tableau
- Power BI
- Google Studio
Other metrics to consider
- Reach Outs to Interviewer Screen Conversion — poor conversion? How personalised are your messages?
- Cost per Hire — how is the team / individual performing on ROI?
- Quality of Hire (QoH) — follow the rabbit hole and you’ll end up in Narnia! There’s lots of information on this subjective metric. What I’ve learnt is this is made up of various metrics. However QoH is bespoke to the organisation you’re in and market (e.g. start up, engineering). Use information out there to create a template and then adapt to your liking.
- Retention Rate — are candidates leaving? Passing probation?
- Time to Productivity — how quickly after a role is released do you have interviews for the role? Can spot Hiring Manager blockers, tech issues.
- Candidate Experience Rating
- Hiring Manager Satisfaction
What are your thoughts on the topic? I’d love to connect and discuss further https://www.linkedin.com/in/dataanalyticsconsultant/
