From Cost to Asset: Rethinking Your Hiring System
Most companies view hiring as a cost center. Discover how to transform your recruitment system into a strategic asset that builds value.
Door Ingmar van Maurik · Founder & CEO, Making Moves
Hiring as a cost center: the standard approach
Ask a CFO about the cost of recruitment and you get a list of expenses: job board ads, SaaS licenses, recruiter salaries, assessment tools, employer branding, and agency fees. It is a long list and the total is substantial: an average of 4,000 to 8,000 euros per hire for a mid-sized company.
The standard approach is to minimize these costs. Find cheaper tools, use fewer job boards, recruit internally instead of engaging agencies. The goal is simple: the same output at lower cost.
But this approach misses a fundamental point. Recruitment is not just a cost category. It is a process that can build value if you set it up correctly. In this article we show how to transform hiring from a recurring expense into a strategic business asset.
The difference between a cost and an asset
A cost is an expense that creates no lasting value. You pay for a month of SaaS license, that month passes, and the next month you pay again. Nothing accumulates.
An asset is something that grows in value over time. A house, a brand name, a customer base. The longer you have it, the more it is worth.
Your hiring system can be an asset if it meets three conditions:
1. It accumulates valuable data that becomes more insightful and predictive over time
2. It improves itself the more you use it
3. It creates a competitive advantage that is difficult to copy
A SaaS hiring tool meets none of these conditions. The data belongs to the vendor, the system does not improve based on your usage, and your competitor can buy the same tool tomorrow.
A custom hiring system can meet all three. Let us make that concrete.
Data as business value
The value of hiring data
Every time you run a candidate through your process, you generate data. CV information, assessment scores, interview results, hiring decisions, and eventually performance data from hired candidates.
With a SaaS tool, this data disappears into the vendor's system. You can run reports, but the raw data is not yours. When switching to another tool, you lose everything.
With your own system, this data belongs to you. And that data becomes more valuable as you hire more:
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After 1000 hires, you have a dataset that is unique and irreplaceable. No competitor can buy or copy that data. It is a strategic asset that grows in value with every hire.
From data to insight
Raw data alone is not valuable. The value emerges when you convert data into insights that enable better decisions:
Which sources deliver the best candidates? Not just in terms of volume but in terms of quality of hire. Perhaps LinkedIn delivers more applicants, but referrals deliver better hires with higher retention.
Which assessment scores predict success? By linking assessment scores to performance data after 6 and 12 months, you discover which scores truly matter. As we describe in our article about predictive hiring, this linkage makes the difference between guessing and predicting.
Where are the bottlenecks in your funnel? Data shows exactly where candidates drop off, where the process slows down, and where quality deteriorates. Every improvement in the funnel is a lasting efficiency gain.
What are the characteristics of successful employees? Patterns in your data reveal which combination of skills, experience, and personality works best for specific roles and teams.
The self-improving system
A hiring system that is an asset improves itself the more you use it. This is the fundamental difference from a SaaS tool that remains static regardless of your usage.
How self-improvement works
Feedback loops are the engine of self-improvement. After each hire, the system tracks the new employee's performance. This data is fed back into the model, which adjusts its predictions.
After 6 months, you know whether the hire was successful. The system compares assessment scores and the candidate profile with performance and adjusts the weights. Was a certain assessment score less predictive than expected? The weight is lowered. Was a certain characteristic more predictive? The weight is increased.
The compound effect is powerful. Each quarter your model becomes more accurate. After a year, it is significantly better than at the start. After two years, the difference from a company still hiring on gut feeling is enormous.
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Continuous calibration
Besides feedback loops, continuous calibration is needed. The labor market changes, your company evolves, and the definition of success shifts. A good system adapts to these changes by periodically re-evaluating the relationship between predictors and outcomes.
The competitive advantage
Why it is hard to copy
The most valuable aspect of a hiring system as an asset is that it is hard to copy by competitors:
This is what strategists call a moat: a protective barrier around your business that competitors cannot easily cross.
The financial impact
The financial value of a hiring system as an asset can be calculated concretely:
Direct savings: lower tool costs, lower cost-per-hire, fewer bad hires. Typically 100,000 to 500,000 euros per year for a company with 200+ hires.
Quality of hire improvement: better employees perform better, are more productive, and stay longer. The value of this is hard to pinpoint exactly but is significant. If you know the cost of a bad hire, every avoided bad hire is worth tens of thousands of euros.
Strategic value: a company that demonstrably hires better has a stronger team, innovates faster, and grows more sustainably. This value is the hardest to quantify but potentially the greatest.
Data value in acquisition: during an acquisition or merger, a company with a proven hiring system and rich dataset is more valuable than one that hires on gut feeling. It is an asset that belongs on the balance sheet.
How to make the transition
From SaaS to your own system
The transition from a SaaS tool to your own system is an investment. As we describe in our article about why companies are leaving SaaS, the initial costs are higher but the long-term value is incomparable.
The implementation trajectory
1. Month 1-2: Build the core system with candidate management and basic flow
2. Month 2-3: Integrate assessments and begin data collection
3. Month 3-6: Collect sufficient data for first norm groups and models
4. Month 6-12: Build and validate predictive models
5. Month 12+: Continuous improvement, the asset grows
The investment
The initial investment for a custom system ranges from 30,000 to 150,000 euros, depending on complexity. Compare that with 3 to 5 years of SaaS costs that build nothing, and the choice becomes clear.
Key takeaways
Want to transform your hiring system from cost to asset? Schedule a conversation and discover how our AI hiring system builds value with every hire.