New charts in Insights Pro: qualified applicants and AI skills demand

When you review an Insights Pro profile, you are usually deciding whether a role is worth opening and what it will take to fill it. Salary ranges answer part of that. Two new charts in Insights Pro answer the rest: how well the people applying to this kind of role actually match it, and how much the role is shifting toward AI skills.

Both are live now, next to the salary, skills, and modality charts you already use in your reports.

Qualified applicants

This chart shows the share of applications that reached 80 or higher on Get on Board’s AI match score — a strong fit for the position — out of every application that received a score.

Two supporting numbers sit beside it:

• Average match score across the scored applications for this profile.
• Hire rate: the share of sent applications that ended in a hire.

Use it to set expectations before you publish. A profile where most scored applications land above the threshold tells you the market understands the role well. A low share, or a hire rate far below what you see elsewhere in your report, is a reason to look again at the job description, the seniority you are asking for, or the salary range you are offering.

AI skills demand

This chart shows what share of this profile’s hiring processes require AI-related skills, with the raw counts underneath — for example, 7 of 15 unique hiring processes.

It is the fastest way to see whether AI has become part of the baseline for a role rather than a specialty. A profile that sits near zero is still a conventional role today. One approaching half means candidates who work with AI are competing for the same positions your team is hiring for.

How the numbers are calculated

A few details worth knowing before you quote these figures internally:

• The qualified share is measured over applications that received a match score, not over every application received. The caption under the chart tells you what percentage of applications that covers.
• Both figures for this chart cover the last 6 months as of the date shown in the caption. That window is tied to when the data was last refreshed, so it can differ from your report’s quarter.
• Hire rate is measured over sent applications for the profile.
• A process counts toward AI skills demand when its skill tags include AI technologies — either building AI (such as Machine Learning, Deep Learning, or Computer Vision) or using it (such as Generative AI, Prompt Engineering, or LLM integration).
• Data foundation skills like Data Science, Statistics, or Data Engineering do not count as AI demand on their own. They predate AI and including them would inflate the number.

When a chart may not appear

Qualified applicants needs a profile with enough scored applications behind it, so it will not appear on every profile yet. AI skills demand appears wherever the profile has hiring processes to measure, and shows 0% when none of them required AI skills — a real answer, not missing data.

If you want the background on how profile data is built in the first place, see how Insights Pro calculates salary estimates.