This article will be highlighting some pro tips on the best practices of our AI sourcing tool, including how to get started, best use of each filter, and how to help AI learn your requirements.
General Sourcing: Getting Started
Hiretual has over 750M candidates in pool, they're aggregated from over 40 platforms including the Open Web, social and career sites such as LinkedIn, Indeed, Glassdoor, GitHub, etc. You may locate the general sourcing filters by go to Source Candidates at the top left corner or Search Results tab inside a project.
Once you type in the job titles, candidates that matches the criteria will appear and update in real-time on the right hand side. Hiretual's AI will also automatically recommend you similar job titles to choose from. You will notice the keywords on the left-hand side are in bold in the candidate profiles on the right.
Hiretual's AI will also automatically recommend you similar job titles to choose from. You will notice the keywords on the left-hand side are in bold in the skill section of candidate profiles.
Mandatory Skills / Keywords: the MOST important skills.
Must-have skills or keywords in candidate profiles that are prioritized when matching and ranking candidates. With multiple mandatory skills, candidate matching and ranking are based on the relevance between them and at least one skill or keyword is always prioritized.
Preferred Skills / Keywords: Nice-to-haves and not mandatory.
Nice-to-have skills or keywords that can improve candidate matching and ranking accuracy but are not required for a match.
"Mandatory Skills" filter is one of the most powerful sections to build the search, while "Preferred Skills" does not affect the candidate pool size, and only changes the ranking of the "Sample Candidates".
Let’s say you put five mandatory skills in and start searching. The first candidates will have the highest combination of the Mandatory Skills and Preferred Skills. As you continue to look through the candidates Hiretual will deliver those candidates who have most but not all of the Skills for your review. That way we are not eliminating any potentially fitting candidates.
Location: Add City, State, Country, Metro Area, USA Zip Code or Continent.
You can adjust the radius to be within 15, 30, 50 and 100 miles.
Years of Experience: Select a minimum and maximum range
The total (overall) years of working experience after graduation
You can select from the options of years. If you put "0-2 Years" and "2-4 Years", you'll be looking at people who have 0-4 years of experience after graduation.
Locate some of the advanced filters at the top of the screen.
Company: Simply type in any companies you would like to target your search in.
Industries: Select industries from the drop-down list or add by typing
*Exclude From Industries: Select the arrow and add industries you want to exclude.
Degrees: Select the highest degree of candidates. You can select multiple.
Majors: Add college majors. If you want to expand your reach and bring in similar majors, select "Include Similar Majors"
Schools: Source alumni from specific schools manually or by using the "Add/Edit Lists" function.
Years in Current Company: Choose the years that a candidate has been in their current company
Years in Current Role: Choose the years that a candidate has been in their current role
Seniority: Choose the seniority level of a candidate
When you have a rather strict criteria, say you need candidates that have at least 2-4 years of relevant experience to software development. You could put "software developer" in the current job title then set years in current role as 2-4 years & 4-6 years.
Final Steps - Screening
After you've added all of your search parameters and filters you can start reviewing candidates on the right hand side. Click Save to Project at the top right to save your search to a project first if you directly enter the AI sourcing tool via Source Candidates. Then it will take you to the Search Results tab.
Give "Good Fit" to the desired candidates, who will directly go to your Good Fit Stage in the project pipeline.
Give "Not a Fit" to the unfit ones while select reasons why, to teach the AI your preferences over time.
Please drop us a message if you have more questions!