We're changing how assessments begin: Introducing our AI recommender

Start with the role: let our recommender do the heavy lifting

When you create an assessment, you don’t have to start by picking tests.

You choose the job title and optionally paste the job description. 

From there: 

1. Our skills science-backed AI recommender steps in. 

2. It analyzes the job description and title and suggests the key skills to assess: typically, a few hard skills (like writing, data analysis, or programming) and soft skills (like communication or critical thinking). 

3. It then recommends the most relevant TestGorilla tests from our library for each skill.

You can change or remove anything, but no longer have to start from scratch.

It’s a guided flow built on structured skills-based hiring principles, not just intuition.

Why this matters

It solves the biggest hiring blocker: In a recent study of 89 customers, we identified the top two challenges in assessment creation:

• Identifying which skills to test for (26%)

• Figuring out how to assess them (38%)

We heard this, and this new experience is designed to address precisely that.

More consistency, less guesswork: All recruiters in your team start from the same structured base. That means more reliable results and fewer gaps caused by individual interpretation.

You get a more straightforward path to relevant skills: Our suggestions aren’t random. They’re grounded in skills data and optimized for fairness, so you can feel more confident about what you’re testing.

You still have control: This isn’t a rigid template. You can edit test suggestions, add inputs, and shape the assessment to match your role. But now you start from insight, not a blank page.

What our initial users are saying

"I think giving me a starting point to work with just made me feel more confident that I was doing things correctly because I had that extra hint from AI that this is what you should do next, this is what we'd recommend you do. But still having the full freedom to change things based on what I wanted to do."

"Yeah, I think it was very easy to identify the areas where I could add my own questions and the ability to reject the offers from AI. Every AI option had the option to remove that option or to substitute it."

"Yeah, I think it was very easy that all I had to do was input the job description, and then there it was. Everything was already being suggested to me. I think, of course, as a person who would do the hiring, I would probably want to evaluate each suggestion to make sure I'm adding the right thing. But it required very little thinking through the various steps."

"But yeah, otherwise you're right. The fact that it tells you exactly, it gives you a line on what the test is, what it's recommending. I think it's yeah. Pretty easy to understand."

"I think it's awesome that all I really need now to create an assessment in TestGorilla is a job description. And I don't really need to understand the platform super well."

What’s next

This update is just the beginning. We are expanding our AI-enabled recommendations with more upcoming updates: 

• Recommended job-specific custom questions (not just tests)

• Qualifying question recommendations 

These upgrades will unlock a faster, skills-centric, and more consistent hiring process.

Bonus: better job descriptions coming soon

When test selection begins with the job description, it encourages teams to create better, more precise, and more intentional job descriptions. We are also developing a new feature to improve job descriptions, making them more structured and focused on skills. This approach ultimately leads to better hiring outcomes.

This is step one. But it’s a big one.

Welcome to AI-enabled assessment creation. Try it for your next role.