AI scoring weights

Configured in

• nextal-ai

Tune how Nextal scores candidate-to-job fit. Adjust the relative weight of skills, experience, salary fit, language levels and location — match the way your organisation evaluates candidates.

Where to find it

Admin app → Templates → Job templates → (open a template) → AI scoring weights

Who can use it

Organisation admins

🔒Requires permission:Job Edit

The AI scoring weights page controls how Nextal computes the candidate-to-job match score. By default, skills carry the most weight; experience comes second. If your organisation values different signals — say location matters more than skills for retail roles — adjust the weights here.

Note

Where to find it. AI scoring weights are configured per job template, inside the admin app — not in the ATS app. Go to Admin → Templates → Job templates, open a template, and navigate to its AI scoring weights tab.

Screenshot pendingThe AI scoring weights settings page inside a Job Template in the admin app: sliders or numeric fields for each of the scoring dimensions, with a Save button at the bottom.

The scoring weights tab inside a Job Template. Each dimension has its own slider; the total adds up to 100%.

Opening the page

1. Open the admin app

   Navigate to the admin application (separate from the ATS app).

2. Go to Templates → Job templates

   Find the job template you want to configure.

3. Open the template and go to the AI scoring weights tab

   The dedicated page for tuning the weights opens inside the template editor.

The scoring dimensions

Each dimension has a weight you can adjust. The relative weight determines how much that dimension affects the final match score (out of 100):

Dimension	What it measures
Skills	Overlap between the candidate’s skills and the job’s required skills.
Experience	How well the candidate’s years of experience fit the job’s expected range.
Salary fit	Whether the candidate’s salary expectations fit the job’s salary range.
Language levels	Whether the candidate meets the job’s language requirements.
Location	Distance between the candidate and the job location.

Adjusting the weights

1. Pick a dimension

   Click or drag its slider.

2. Move the slider

   Higher weight = the dimension counts more in the final score.

3. Save

   The changes apply to new score computations immediately. Existing scores don’t recalculate retroactively unless you trigger a re-score.

When to tune the weights

• Your team consistently rates the AI score wrong. If recruiters keep saying “this 85-match isn’t actually a good fit,” lower the weight on whatever the AI is weighting too high.
• You add a new vertical. Healthcare hiring values language levels and certifications; tech hiring values skills and experience. Different organisations value different things.
• You change your job description style. If you start listing 30 skills per job (instead of the 5 essential ones), the skills weight might need to come down to compensate.

Who can do what

What you want to do	What you need
View the page	Organisation admin access
Adjust and save weights	Same

Tips

• Change one weight at a time. Bumping three weights at once makes it hard to see which change actually helped your match quality.
• Re-evaluate quarterly. What works in Q1 may not work in Q4 — market conditions, candidate pool, and your own recruiting priorities all shift.
• Document why you changed. Drop a note in the comments on a few representative jobs explaining the change — useful when a new teammate asks why the scores look different.