How your search is translated to your selection of tech candidates

This article helps you better understand how HeroHunt.ai provides your personalized selection of tech candidates matched to your job description.

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Matching

HeroHunt.ai automatically creates an intelligent search based on the information you give in.

There are a couple of things that are good to know about how HeroHunt.ai does the search for you:

  1. HeroHunt.ai automatically takes synonyms into account
  2. HeroHunt.ai scores tech candidates based on a given score
  3. Required keywords are must haves, nice to have keywords are adding to the candidates’ score, but are not required

1. HeroHunt.ai automatically takes synonyms into account

There are many different words that can be used for similar things.

A developer can be a software engineer and words can be abbreviated, like AWS or typed out like Amazon Web Services.

HeroHunt.ai automatically takes synonyms into account.

Example: When you search for ‘developer’ in HeroHunt.ai in the job title, similar job titles like ‘engineer’, ‘programmer’ and ‘coder’ are also searched for automatically.

Example: When you search for the keyword ‘JavaScript’, HeroHunt.ai also searches for ‘JS’. Similarly if you search for AWS Elastic Computing, HeroHunt.ai searches for Amazon Elastic Compute Cloud, Amazon EC2, EC2, AWS EC2 and Elastic Computing.

You don’t have to spend time writing complex boolean strings like (developer OR engineer OR programmer OR coder) (“AWS Elastic Computing” OR “Amazon Elastic Compute Cloud” OR EC2 OR Elastic Computing).

2. HeroHunt.ai scores tech candidates based on a given score

Candidate profiles are given a score based on an extensive set of automated rules and calculations done by the HeroHunt.ai algorithm.

HeroHunt.ai ranks the best matches, beginning with the candidates with the highest score.

You can see the process of matching as attributing ‘points’ to candidates.

Examples of how profiles can be given points:

  • If candidates have a high coverage of of required and nice to have keywords (relevancy)
  • If the candidate has recently worked with the required technology skills (up-to-dateness)
  • If keywords are relatively mentioned appearing on their profile (density)

There are many more ways that candidate profiles can be given points.

3. Required keywords are must haves, nice to have keywords are adding to the candidates’ score, but are not required

Some technology skills you are looking for in a candidate are absolutely required. Other technology skills are definitely valuable, but if the candidate would not master them yet, it wouldn’t necessarily be a deal breaker.

That’s why you can use as well required keywords as nice to have keywords in HeroHunt.ai.

Required keywords have to come back in the profile, otherwise the candidate will not appear in your results.

Nice to have keywords add to the score of the candidate, but do not necessarily have to come back in the profile to appear in your results.

Required keywords are given a higher weight in the scoring of the profiles than the nice to have keywords.

4. By including a location in the search you get matches from that location only

You can include a location to your search, for example a city or country. By including a location you will only receive matches for that location.

You can choose to not include a location, this will return the best matches regardless location (worldwide).

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