Practical Task
Ask the candidate to complete a small piece of work using the required skill.
Blog
Let’s say you are hiring a data analyst. Their CV says they are advanced in Excel, and they answer every interview question confidently.
But until you see them work with real data, you still do not know how well they can actually use those skills.
That is why technical assessment matters. It gives you evidence of what a candidate can do, not just what they say they can do.
A technical skills assessment is a practical way to check whether a candidate can use the skills needed for a job.
Instead of relying only on a CV or interview answers, you give the candidate a task, problem, or work sample that reflects the role.
That could be a coding task, Excel exercise, data problem, troubleshooting scenario, or another job-related activity.
The idea is simple: don’t just ask what the candidate knows—see how they use it.
A common mistake is choosing an assessment first and then trying to fit the role around it.
Do the opposite. Look at what the person will actually need to do after they join.
If you are hiring a developer, coding and debugging may matter most. For an analyst, Excel, data handling, and reporting may be more important.
Start with the real work, then decide what needs to be tested.
Once you know which skills matter, ask a simple question:
What would the candidate need to do to prove this skill?
For example:
The assessment should give you evidence that relates directly to the work.
Not every technical skill needs the same type of test.
The right method depends on the role and the evidence you are trying to collect. Technical assessment guides also recommend matching the test type to the actual skill and job.
A few useful options are:
Ask the candidate to complete a small piece of work using the required skill.
Give them something similar to a task they may handle after joining.
Present a realistic problem and ask how they would solve it.
Ask the candidate to explain previous work, their contribution, and the decisions they made.
Use the same job-related questions and evaluation criteria across candidates.
For teams that need role-specific practical testing, AI candidate assessment software can also help structure assessments and candidate scoring.
A technical assessment becomes more useful when it looks like something the candidate may actually do in the job.
A developer could fix a broken function. An analyst could clean a spreadsheet. An IT candidate could work through a support issue.
This is much more useful than asking random technical questions that rarely appear in day-to-day work.
A good rule is:
Test the work, not just the theory.
The final answer is important, but it is not the only thing worth reviewing.
Pay attention to how the candidate understands the problem, chooses an approach, handles mistakes, and explains their decisions.
For example, two developers may both solve the same task. One may write a quick solution, while the other explains trade-offs and improves the code along the way.
That extra context can tell you a lot about practical technical ability.
Candidates may use AI tools as part of technical work, just as employees increasingly do in real jobs.
Instead of looking only at the final output, ask the candidate to explain it.
Why did they choose that approach? What would they change? Can they spot a mistake in the result?
This helps you see whether the candidate understands the work or simply produced an answer.
Do not wait until the assessment is finished to decide what a good answer looks like.
Set the scoring criteria before candidates begin.
For a coding task, you might look at:
For an Excel task, you may look at accuracy, formula use, data handling, and the final result.
Clear criteria make candidate comparison much easier.
A detailed technical task does not always need to be the first step in the hiring process.
If you have a large applicant pool, a short skills check may help confirm must-have ability early.
A longer work sample or technical discussion can come later, once you already know the candidate is a possible fit.
This keeps the hiring process useful without asking every applicant to complete a large amount of work.
More testing does not automatically mean better hiring.
A long or unrelated task can frustrate candidates without giving you much more useful information.
Ask only for enough work to understand whether the candidate can perform the important parts of the role.
Also tell candidates what they will be assessed on and what they should expect before they begin.
A technical assessment gives you one important part of the picture.
It does not tell you everything about how someone will perform in the role.
Use the results together with structured interviews, relevant experience, communication, and other job requirements.
This gives hiring teams a more complete view before making the final decision.
The assessment should change when the role changes.
The goal is not to make the test difficult. The goal is to see whether the candidate can handle the type of work the job requires.
It is a practical way to check whether a candidate can apply job-specific technical skills.
Identify the skills needed for the role, give the candidate a relevant task, and review the result using clear scoring criteria.
Examples include coding, Excel, data analysis, system administration, and troubleshooting. The right skills depend on the role.
No. Technical assessments show practical ability, while interviews and other hiring evidence provide additional context for the decision.
Use role-relevant tasks, clear scoring, and other hiring evidence to understand what a candidate can actually do.