How to Set Benchmarks for Skill Scores: A Simple Guide for Better Hiring

Hiring is no longer just a matter of reading resumes. Nowadays, most companies want to actually know whether a candidate can do the job. This is why skill assessments are important. But once you have those skill scores, you still have the big question of: What exactly does good enough mean?

That's where skill score benchmarks come into play. Benchmarks are like markers - they let you know what an acceptable, good or great score is. They allow you to compare your candidates properly, they help you make consistent hiring decisions, and they help you select the candidates that are most likely to be successful in their role.

Let's take a look at how you can set those benchmarks step by step with modern hiring platform functionalities like TestnHire.

1. Understanding what a benchmark is 

A benchmark is a standard used to assess performance. Just like a school has passing marks, a company needs something to determine what score is good enough for a job to be performed successfully. 

For instance: 

• If the test has a score out of 100, then an 85 might be considered "excellent". 

• A score between 65 - 85 might be considered "good". 

• A score below 65 could indicate that either the candidate requires more training or is not suitable in some way.

Without benchmarks, you're just looking at a bunch of random numbers without context. Benchmarks provide context, fairness, and clarity.

2. Why it is Important to Set Benchmarks

When you hire without benchmarks, you're going to have inconsistency. One manager may say that 70 is good enough, while another manager may say that they want the candidate to score 90 or above. This confusion leads to unfairness, confusion, and misfits.

When benchmarks are established:

• You are fair. All candidates are judged by the same rubric.

• You are saving time. Quick cut-off scores lead to quicker shortlists.

• You are improving quality. You have an earlier opportunity to have weak candidates removed.

• You are building trust. Candidates feel the hiring process is not biased and they are judged solely on their performance.

For example, you are hiring for two roles: a software developer and a customer support executive. Naturally, without benchmarks you would expect both candidates to be above 80 on tests, but their job skills are very different. With role-based benchmarks, you know exactly what you should expect from each role.

3. Use Role-Based Benchmarks for relevance

Every job role has its own unique skill set, which is why role-based benchmarks are valuable: they are standards that are specific to certain jobs. 

For example:

• A developer role may require higher scores for coding and logical reasoning. 

• A customer-service role may require higher scores for communication and empathy skills. 

• A sales role may require higher benchmarks for persuasion and problem-solving. 

Rather than just guessing, you can use benchmarks that reflect the real demands of the role, ensuring you are not inappropriately expecting the wrong skills or creating unrealistic benchmarks. 

4. Select the right tests first

Before you create your benchmarks, you need to choose what skills you will test. TestnHire offer hundreds of available ready-made tests created by experts for areas such as:

• Technical knowledge

• Language and communication skills

• Problem-solving skills

• Leadership and teamwork 

You can either select from the pool of available tests, or design your own from scratch. The goal is to test the skills that matter for the job.

For example, if you are hiring an accountant, your focus should be on numerical skills, attention to detail, and some excel knowledge, not coding skills. Once you are using the right test, then your benchmarks will have meaning.

5. Let AI and Smart Scoring Do the Grunt Work

Scoring tests by hand can be slow and biased. That’s why smart hiring platforms use AI powered scoring and rubrics (scoring guidelines).

AI assures:

• Every candidate is evaluated equally.

• Scores are the same no matter who does the evaluation.

• The evaluation itself is fast and reliable.

This speeds up building benchmarks, since there is confidence the scores will be reliable. If the scores are not reliable, your benchmarks won’t be either.

6. Clearly Define Levels of Scoring

Benchmarks are way easier to read when they are organized. One of the easiest ways to do this is to level:

• High performers: 85–100% – Excellent skills, appropriate fit.

• Moderate performers: 65–85% – Good skills, intervention may be required.

• Low performers: below 65% – Skills were weak - at this point, not suitable.

   

These indicators assist recruiters and hiring managers to quickly interpret test results. Any arguments around whether a 72 is good or bad are removed. It becomes clear that the grade falls within the moderate group.

7. Compare Scores with Peers and Industry Benchmarks

Sometimes, numbers mean more looking at others! TestnHire enables you to compare a candidate’s score against:

• Other candidates for the role

• Your company’s historic hiring data

• Industry benchmarks

This provides context. For example, a score of 70 may feel average, but if the average score for a candidate in that role is 65, then this candidate is, in fact, above average.

Benchmarking against peer groups means that you make decisions that are realistic and competitive.

8. Go Deeper with Performance Data Insights

Numbers alone don’t tell a full story and this is why deeper insights are so valuable. For example

• A candidate may have an overall score of 80, but their solid strength may be in communication and not problem-solving.

• Another candidate may have an overall score of 70 but scored extremely well in logical reasoning - the biggest component of the role.

These insights help you decide which benchmarks to really think about. Sometimes you may think less about the overall score and more about performance in important skills.

9. Step-by-step-process of establishing benchmarks

Here’s a very simple pathway to follow:

1. Select the appropriate test. Select skills that are specific to the job.

2. Established by role benchmarks. Identify expected levels of performance for that job.

3. Use AI scoring. This will promote fairness and consistency across reviews.

4. Categorise low, moderate, high.

5. Compare results. If reviewing candidates, compare them as possible with peers and strong competitors.

6. Identify deeper insights in addition to numbers. Use insights to identify types of strengths and weaknesses.

7. Revisit the benchmark over time. As you hire more people, start refining your benchmark based on real-time data.

    

10. Example - Customer Support Role

Now, let’s focus on a practical example.

Job - Customer Support Specialist

Critical Skills - communication, empathy, problem-solving, typing speed.

Your benchmarking is established - 

• High: 85–100 - Truly exceptional communicator, empathy and calm when stressed

• Moderate: 65–85 - good communicator, with coaching in tone or speed

• Low: below 65 - weak communication, potentially won't manage customers effectively. 

How this can help you - 

• Quickly filter out candidates who don’t meet basic expectations

• Highlight the strongest candidates that you can employ almost as is way without significant effort in training or coaching

• Highlight the moderate level candidates with the ability to coach those weaknesses.

   

Ultimately, you are making the review and hiring process and the standards of evaluation both efficient and fair.

11. Example : Software Developer Role

Consider a different role.

Role: Software Developer

Key skills: Coding skill, logical reasoning, problem solving

Benchmark set-up:

• High: 90-100 -  Strong ability to independently solve advanced coding assignments

• Moderate: 70-90 -  Strong base knowledge, but may need guidance

• Low: Below 70 -  Poor coding foundation and not equipped for professional projects

   

Notice how the benchmarks are significantly different from the customer service role. This is exactly why discovering role-based benchmarks is so valuable – you cannot apply the same cut off across jobs.

12. Why This Process is Effective

This benchmark-setting process is powerful because it provides:

• Fairness: Every candidate is assessed against the same role based criterion. 

• Clarity: Simple score zones make it easier to decide. 

• Depth: It provided a lot more insight than just a number, it revealed strength.

• Flexibility: You can continue to refine benchmarks as the role is refined.

Rather than guessing or using "gut feel", you now have a defined, structured and data-based mechanism for evaluating skills.

Summary

Creating benchmarks for skill scores doesn’t have to be difficult. With the proper framework, you can easily convert test scores into actionable insights.

Using role-based benchmarking combined with AI scoring, performance insights and standardized categories, you can make hiring processes fair, transparent and skills-based.

The next time you look at a test score for a candidate, instead of asking yourself "Is this a good score?", think to yourself "How does this score compare to the benchmark for this role?" That small change could completely transform the quality of your online hiring process.