Nearly every talent acquisition (TA) professional has been through it: A new role opens, the team rushes to get through hundreds of applications and calls, and hiring managers are all the while pushing them to move faster to find the “perfect” candidate. It’s exhausting for everyone – and it isn’t even close to the best way to hire.
Take it from an expert. Emma Williams, Organizational Psychologist and Research Officer at HIGH5 Test, shared one of the most obvious signs that you’re still operating in such a model:
“If you scramble after each vacancy opens, it's reactive TA” – or, in other words, the opposite of mature and strategic.
Not only is this approach reactive, but it also prioritizes speed over outcomes. AskZyro Founder James Allsopp explains that when hires are made defensively or on the basis of urgency, “recruiters are in fire-fighting mode. This means success is defined by how fast someone is, rather than the quality of a hire, fit, or even how long the person will last.”
While it can be challenging to transfer this mindset to a more mature model, it’s possible – and worth it. In this article, we’ll explain how to assess where your team currently stands, and how to move towards a more strategic, skills-first approach to talent acquisition.
Simply put, a talent acquisition maturity model is a framework to assess the sophistication of your hiring process, whether you’re still languishing at a basic, reactive level or have pivoted to a data- and technology-driven process that serves as a true partner to business growth.
It’s not a simple checkbox that tells you exactly how to update your processes. But it is a way to check how your team is hiring today by looking at how you’re sourcing candidates, making decisions, using data, and assessing skills. Understanding this information offers a path forward to take you from scrambling to strategic.
If you want to assess where your team currently stands, it’s helpful to think of talent acquisition in four stages.
Think of this stage as “We hire when someone leaves or something breaks.” Roles are opened when there’s pressure to hire right away, and successful hiring is defined as a filled position.
The primary filter at this stage is the resume. As Allsopp says, this stage is rife with “over-reliance on CV screening and intuition. Job title? Branded company? Years of experience? No proof of ability? No problem. There’s scant articulation of the idea of ‘good,’ which leads to randomness, and in turn, to the underperformance of the company and to the over-hire in the system.”
Another way to think of this stage is being heavy on recruiter effort but low on true signal quality. Recruiters might spend hours sourcing candidates without truly understanding how to assess qualifications or skill sets. You might see long lists, low confidence in fit, and inconsistent hiring choices – not to mention a longer time to find the right candidate.
Many teams stay in this stage for far longer than is necessary, and it’s not impossible to hire well despite the challenges. But there are risks – more often than not, remaining in this stage leads to poor quality of hire, burned-out teams racing against the clock, and a lack of a proper talent acquisition strategy.
In the next stage, teams may have some level of structure or standardization but still lack clarity and consistency.
Teams in this stage likely keep track of some key metrics, like time to hire or source of hire, but they might not glean much insight from them. While being able to report on how long it takes to land a hire is a great start, if no one knows how to interpret that data – or what to do about it – you’ll find yourself spinning your wheels.
You’ll also see limitations in interviews. They might be more organized and structured, but chances are they’re still quite subjective and reliant on resume details rather than a streamlined, skills-based rubric. This can lead to biases, inconsistent candidate experiences, or simply candidates with unsuitable skill sets.
And when it comes to technology, it’s much the same. Individual recruiters may be experimenting with new AI tools or automation, but there’s nothing consistent across the team.
Because this stage involves some steps in the right direction, it’s easy to be fooled into a false sense of maturity. Unfortunately, this haphazard scale and experimentation may amplify your inconsistencies rather than solve them.
Stage 3 is the place where your team starts hiring based on what people can actually do, not just what’s on their resume.
At this stage, Allsopp says, “teams focus less on disputing opinions and more on aligning with the evidence. What skills matter? How are they assessed? What does ‘ready’ mean in the context of a role? This focus lessens the role of bias, quickens decisions, and increases the caliber of candidates.”
You’ll know you’re at this stage of maturity if hiring decisions are based on skills, not resume keywords or educational pedigree. Moreover, you’ll use structured, role-specific talent assessments early in the process, complete with consistent, standardized scoring. Ultimately, your team will make decisions based on data, not intuition.
This is where hiring becomes scalable and repeatable, bolstered by higher-quality pipelines, strong hiring manager alignment, and transparency and fairness in hiring decisions. As a result, as Allsopp says, “hiring discussions become more future-oriented. Instead of ‘Who has done this job before?’ teams ask, ‘Who can do this work now and grow with us?’ This change greatly enhances internal mobility, increases diversity, and improves retention over time.”
The pinnacle of hiring maturity happens when you responsibly inject technology, including AI, into your process to foster continuous improvement. In other words, because the system can learn and improve, it also allows your hiring decisions to increase in maturity.
At this stage, AI doesn’t just replace human judgment, or make it faster – it sharpens it. Take it from Allsopp: “Analytics and AI are most useful when they enhance the quality of decisions, not when they substitute for decision-making. When used responsibly, analytics and AI surface patterns, mitigate hiring risks, and identify transferable skills. This, however, is only possible when clear human-defined standards and accountability exist.”
So, picture this: You start by assessing candidates’ skills with role-based skills tests, leveraging automation to save time but continuing to incorporate human judgment and decision-making.
Plus, scoring is clear and transparent, allowing TA teams to easily explain why they moved a candidate forward and what skills are missing. And by relying on data, it’s easy for recruiters to partner with hiring managers to forecast next quarter’s needs and be ready, not reactive – a true measure of maturity.
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Many teams believe they’re operating at a higher level of maturity than they truly are. They assume that modern time-saving tools like applicant tracking systems and dashboards automatically make their processes strategic. The danger isn’t the tools themselves, however – it’s the false sense of control that they give you.
In reality, relying on these tools without shared standards is what introduces risk.
Teams that overestimate their maturity often don’t clarify what they’re hiring for until a role opens. So, even if they ultimately land strong candidates, they can’t explain why these hires were the right choice – and then can’t repeat the process.
The consequences are serious: Along with exhausting hours screening resumes and coordinating interviews, recruiters need to spend valuable time recalibrating with hiring managers and renegotiating decisions – the perfect recipe for burned-out TA teams.
What’s more, this can erode trust within the business. When TA teams seem to be just filling orders, rather than working strategically, leadership can start to question the real value of the TA function.
There’s no formal audit or checklist to determine how mature your TA function is. Instead, you can look at some simple indicators to get a feel for where you stand in terms of a talent acquisition maturity model. Start by asking your team and your hiring partners the following questions:
If there are two candidates in consideration, how do we determine who moves forward?
Would two interviewers evaluate the same candidate and reach the same conclusion?
Can we clearly explain which skills are most important for this role? Can we articulate how we assess those skills?
Are we able to objectively explain why we rejected a candidate?
Do we use metrics to help us make better decisions or simply to report activity?
If, through this exercise, you find that most decisions revolve around reading resumes to determine past job titles and relying on gut feelings to move forward, your maturity is likely lower, and you’ll need to take steps to improve it.
Moving up the maturity ladder doesn’t require a major transformation, just some simple shifts in your process and decision-making.
First, say goodbye to firefighting. Even when speed is important, focus on the right signals. This means prioritizing evidence of skills and abilities, not just what’s on a resume. To do this, you first have to define what “good” looks like and how to measure it.
One great way to do this is by using talent assessments like TestGorilla’s before resume screening. This adds structure, saves recruiter time, and provides transparent, objective criteria for moving candidates forward. And, you’ll see from the outset how well a candidate might actually do the job – not just talk about it.
Mature hiring systems also rely on alignment between TA teams and hiring managers. When standards for skill definitions, evaluation methods, and decision-making are agreed in advance, everyone works from the same framework, reducing bias and improving consistency. Ultimately, talent acquisition maturity shows up before a role even opens, when teams have already set up this framework and are ready to hit the ground running.
By offering role-specific, skills-first talent assessments early in the hiring process, TestGorilla’s platform gives your team consistent data on what candidates can actually do. Transparent scoring and clear rubrics help hiring managers and recruiters align, and even more importantly, they can align around evidence, not just their intuition.
As your team matures, TestGorilla’s AI-assisted insights can help identify patterns and remove bias without reducing human involvement. Instead, TestGorilla provides your human team with all the data they need to determine the best way forward. Then, you can move past reactivity and toward a strategic, data-driven talent acquisition team that’s ready for whatever hiring need comes next.
Want to see TestGorilla in action? Book a demo today or try it for free.
Emma Williams, HIGH5 Test, Organizational Psychologist, Research Officer
James Allsopp, AskZyro, Founder
Why not try TestGorilla for free, and see what happens when you put skills first.