Key Takeaways
- Data from previous hires can help identify the skills, qualities, and experiences associated with strong employee performance and retention.
- Structured interviews provide more reliable insights into candidate potential than informal conversations because they use consistent questions and scoring criteria.
- Combining interview results, skills assessments, work samples, and performance records creates a more complete picture of candidate suitability.
- Recruitment consultancies can use historical hiring data to build predictive models, test their accuracy, and refine their candidate evaluation methods.
- Better hiring decisions can reduce employee turnover, improve retention, and help align recruitment with broader business goals.
- Data-driven assessments must be monitored for potential bias. Employers should use job-related information, check outcomes across different groups, and retain human oversight.
- Candidate privacy is essential. Recruitment partners must handle personal information responsibly, obtain proper consent, and explain how applicant data is collected and used.
You have seen it happen. The résumé shines. The interview goes well. Six months later, the new hire is lost or gone. Gut feel missed again.
Data can cut those misses. People analytics uses facts from past hires to spot who will do well in a role. A good recruitment consultancy builds it into daily work. Here is how it works, what the research says, and where it can go wrong.
What People Analytics Means in Hiring
The term sounds big, but the idea is simple. SHRM describes it as using workforce data to decide who to hire, grow, and keep. In hiring, it turns past records into patterns. Those patterns show which traits matter for a role. Think of it as a weather report for hiring. It cannot promise rain or sun. It does give you odds, and odds beat a guess.
There are three levels:
- Descriptive: what happened, like time to fill a job.
- Predictive: what will likely happen, like who will stay.
- Prescriptive: what to do next.
Most firms stop at level one. A Deloitte survey of 924 firms, as SHRM reported, found that 83% had weak people analytics skills. That gap is where a skilled recruitment consultancy can help.
The Data That Predicts Success
Not all data is equal, and research shows which work. Scientists score this with a number called validity. It runs from zero to one. A higher score means better odds of picking a strong performer.
In 2022, Sackett and his team re-ran the classic 1998 study by Schmidt and Hunter. They found that structured interviews score .42. Unstructured ones score just .19. The old study had them at .51 and .38. A later journal paper lets you compare both sets of numbers.
The lesson is plain. A casual chat tells you little. Ask every candidate the same questions. Score each answer the same way. You will learn much more. The 1998 study also found that adding a cognitive test to a structured interview lifts the score to about .63.
Top teams track:
- Structured interview scores
- Job knowledge and work sample results
- Skills and ability tests
- Performance and tenure of past hires
- Manager feedback at 30, 60, and 90 days
None of this works alone. One test can miss a lot. Mix a few sound tools, and the picture gets sharper.
How Consultancies Turn Data into Predictions
The process has more method than magic. SHRM notes that predictive tools need lots of data on past hires to find real patterns. A careful team works in five steps:
- Define success. Pick clear goals, such as ratings or time in the job.
- Study the role. Data can help map the skills each job needs before any offer.
- Build a scorecard. Weigh each skill and set a rating scale.
- Test it. Check if high scorers became top performers.
- Adjust. Drop what predicts nothing. Keep what works.
This takes skill. Analytics expert Ranjan Dutta, Ph.D., said you can’t buy your way into this without investing in people. Software alone falls short. That is why many firms pick a recruitment partner that already has the know-how.
Why Better Prediction Pays Off
Better prediction means fewer wrong hires. It also ties hiring to business results. SHRM reports that 82% of firms with people analytics use it for turnover and retention. It adds that 94% of business leaders say it lifts the standing of HR.
That makes sense. Retention starts at hiring. Find out what your best long-term staff share. Then look for it early. A shared scorecard also helps managers. They argue less over mood and first looks.
Here is a simple case. Say a team keeps losing sales hires in the first year. The data may show that those hires all missed the same skill at the interview. Fix that one step, and the problem shrinks.
Where People Analytics Goes Wrong
Data helps, but it can repeat old errors. In Harvard Business Review, Miranda Bogen asked if hiring algorithms stop bias or make it worse. It depends on how people build and test them. A model trained on past hires may favor people who look like those hires.
Smart guardrails include:
- Check results for gaps between groups
- Use only job-related data
- Let a person make the final call
- Get clear consent from candidates
Privacy matters here, too. The Philippine Data Privacy Act calls for consent that is free, specific, and informed. The National Privacy Commission enforces it. Any firm that scores candidates with data must guard that data.
Five Questions to Ask Before You Choose a Partner
Not every firm uses data well, so ask direct questions:
- What data shapes your shortlists?
- How do you check whether the scores match later results?
- How do you test for bias?
- How do you protect candidate data?
- Who makes the final call?
A good recruitment agency will answer each one in plain words. Vague replies are a warning sign. Strong replies show a team that tests its own work.
The Bottom Line
Data will not replace human judgment. It sharpens it. The research is clear: structure beats gut feel. A recruitment consultancy that builds structure into each step gives you better odds of a hire who stays and performs. Ask for the evidence. Check the safeguards. Choose the team that shows its work.
FAQs
What is people analytics in recruitment?
It is the use of data from past hires and workers to guide hiring. The goal is to spot which skills and traits lead to strong results in a role.
How well do structured interviews predict job performance?
Better than casual chats. A 2022 re-analysis by Sackett and colleagues put structured interviews at .42 and unstructured ones at .19 on a scale of zero to one.
Can data replace a recruiter’s judgment?
No. Data helps a recruiter see patterns. A person should still make the final call and check for bias.
Is it legal to score candidates with their data in the Philippines?
The Data Privacy Act sets the rules, including consent. Firms should explain what they collect and why. For legal advice, talk to a lawyer.
How can I tell if a recruitment partner uses data well?
Ask how it tests its scorecards, checks for bias, and protects candidate data. Clear, plain answers are a good sign.
Make Every Hiring Decision Count
Great hires shouldn’t come down to guesswork. With the right data, structured assessments, and experienced recruiters, your business can make smarter hiring decisions and build teams that perform and stay.
As a trusted recruitment consultancy in the Philippines, John Clements combines recruitment expertise with workforce solutions to help organizations find the right talent and achieve their goals. Get in touch with us and discover a smarter approach to building your workforce.
