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Boolean Search Strings: 5 Essential Tips For Recruiters

Boolean Search Strings: 5 Essential Tips For Recruiters

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Ruehie Jaiya Karri
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December 22, 2021
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8 min read
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Blindly sinking resources into hiring drives with recruiters scouring the Internet for hours looking for suitable job profiles will not cut it anymore. An alarming insight from our brand new report, 2021 State Of Developer Recruitment, shows that 37% of recruiters agree sourcing is a big challenge, post-pandemic.

Most of us barely scratch the surface when it comes to the Google search engine. Enter a keyword or a key phrase and hit search. But here’s the thing – Google search holds such power to offer highly customized results should you want it. And that’s exactly where Boolean search strings step in!

For a recruiter, Boolean search strings are a godsend. They can make your life painless, and your search exponentially more effective.

What is Boolean search?

Boolean search strings

Boolean search helps you define your search specifically to what you are looking for. Words or phrases such as AND, OR, NOT can be used to limit, broaden and determine the search results — utilize a search engine to its fullest potential.

Why is Boolean searching important for recruiting

Boolean searching isn’t just a fancy tech term; it’s the heart of modern recruitment. In an age where data is vast and candidates numerous, the power to narrow down searches with precision is crucial. Here’s why:

Precision targeting: Ever felt overwhelmed by the sheer number of profiles on LinkedIn or resumes in your database? Boolean search cuts through the noise, targeting specifics like skills, experience, and location.

Time efficiency: Recruiters juggle multiple roles – interviewing, networking, and candidate management. Boolean search speeds up the candidate-finding process, freeing up time for other essential tasks.

Diverse candidate pool: By using the NOT operator, recruiters can avoid repetitive profiles and expand their search, ensuring a diverse mix of potential candidates.

Competitive edge: In the race to find top talent, being quicker and more precise gives recruiters a significant advantage. Boolean search ensures you find the right candidates before the competition does.

Cost-effective: Every hour spent searching is an hour paid for. By streamlining the search process, Boolean logic can lead to significant cost savings.

Adaptable to different platforms: Whether you’re scouting on job portals, LinkedIn, or even Google, Boolean search strings remain applicable and effective.

Boolean search operators to the rescue

Take the most simple search query. Type out a keyword and hit enter. Now add a few additional operators and symbols to the mix and bingo! You have written your very first Boolean search string.

It is simple enough to do. You follow a recipe closely when you bake, and here you need to write the syntax correctly, for your search query to work.

OperatorWhat it doesBoolean Search ExamplesANDIncludes all keywords specified in the search

developer AND JavaOR or |Includes one or both keywords in the resultsEngineer OR developerEngineer | developerNOT or –Excludes unwanted terms from your search

-example“ ”Includes results containing the exact phrase specified“Machine Learning”“Who wants to be hired”()Groups multiple search keywords to set prioritiesDeveloper (android OR python)*Includes all variations of the keyword

recruit* = recruiter, recruiting, recruitment

#1 AND Operator

Boolean-Search-Operator-AND

If you add AND operator between your keywords, the search results will show only results that include all of your keywords.

#2 OR Operator

Boolean-Search-Operator-OR

This operator will show results that include either of the two keywords or both of them simultaneously.

#3 NOT Operator

Boolean-Search-Operator-NOT.

The NOT operator excludes unwanted terms from your search. Instead of NOT, you can also use the minus symbol (-) followed by your unwanted term without leaving a space (e.g. ‘NOT sample’ or ‘-sample.’)

#4 Parenthesis ()

Boolean-Search-Operator-Brackets

Brackets are used to wrap multiple keywords in OR search. This defines the priorities of each segment of the search string. This will come in handy, as most candidate searches are not straightforward and combine various keywords.

#5 Quotation Marks (“ ”)

Quotation marks are used to search for the exact phrase specified. For example, leaving a blank space between ‘product’ and ‘manager’ will provide irrelevant results that contain both of the words ‘product’ and ‘manager,’ but not necessarily together.

#6 Asterisk (*)

The wild card (*) is used to get more variations of the results for the keyword you’re searching for. For example, dev* will provide you with results for both developer and development.

A guide to advanced Boolean search strings

Hiring for rather niche positions or specific skill sets calls for using boolean strings that are slightly more advanced than the norm.

For instance, you need email addresses of candidates who are working in machine learning or data science, then the search string would be:

Syntax

site: linkedin.com/in (“@gmail.com” OR “@yahoo.com”) (“machine learning” OR “ML” OR “data scientist”)

Still, struggling to wrap your head around it? Take a pen and paper to note the following details:

  • Job title of the position you’re hiring for, as well as any other variations that it could have
  • Skills that the candidate needs to be proficient in, or any other industry-specific terms
  • Platforms you want to run your search on
  • Other details that you need like email address, resume, country, etc
  • Swap out the text in the below generic search string for what you’ve written down on your list!
Generic Syntax

site: (platform URL) (“The job title you’re recruiting for” OR “enter another variant”) OR “skill 1” OR “other details”

Narrow down your search by using the country name, postal code, diversity preference, company, or natural language in your Boolean search strings, for better results.

Refine your Boolean search strings further

#1 Limit your search to a specific website with the site: search syntax. It is also called x-raying or an x-ray search. It is particularly useful for obtaining profiles with specific skill sets

Syntax

site:linkedin.com/in (“@gmail.com” OR “@yahoo.com”) (“machine learning” OR “ML”) (“she leads” | “she led”)

You can directly glean the contact information of potential candidates with this search query free of cost instead of using LinkedIn’s InMail service, which is expensive. In this example, “she leads” refers to the natural language we use in a conversation. This query will yield all email addresses containing Gmail or yahoo of women developers who work with machine learning, which are tied to their LinkedIn profile.

#2 Restrict your search to a specific file type with the filetype: search syntax. It could be a resume or a portfolio in a PDF, doc, txt, etc

Syntax

filetype:pdf resume (engineer OR “software developer”) Boston 2017..2020 -example -sample

This query captures the results of all resumes in a PDF format, from the location specified. The minus operator has been used to eliminate sample resumes from your search. You can also specify a date range; in this case, you don’t want resumes older than 2017 or later than 2020.

#3 Use intitle: search syntax to refine your search to websites with specific keywords in their title. Most candidates upload a resume to all job boards. That could be your keyword to scraping suitable resumes for your requirements

Syntax

intitle:resume (“senior developer” | “lead developer”) India 2018..2020 -sample -example

#4 Use inurl: search syntax to refine your search to websites with specific keywords in their URL

Syntax

inurl:(resume OR CV) python India 2018..2020 -sample -example

Using various combinations of Boolean search strings, it becomes a cakewalk for recruiters to source candidates for a particular job. And not just any candidate, but a candidate who exhibits all the necessary skills for that job. Isn’t that every recruiter’s dream?!

Know more about Boolean search strings for diversity sourcing in this video.

5 Boolean Search tips for recruiters

To take your search one step further, you need to think out of the box. Talented candidates are everywhere, if only you know where and how to look.

#1 Podcasts

Podcasts are a great way to get in touch with candidates who possess unique skill sets. Using the site: search syntax you can identify candidates and their interests depending on which podcast you find them. Tailor your pitch accordingly, and voila, you have an interested candidate in your talent pool.

Here’s an example of a query that searches for diverse podcasters.

Syntax

site: podcasts.google.com “@gmail.com” (lgbtq OR advocacy OR ally)

#2 Github

It is a popular developer community and a live bed for talented developers looking for work.

  • Use Octohunt, a tool that allows you to find developers on Github, based on their location and coding skill sets.
  • The resumes uploaded to this platform are in a different format from the usual PDFs, texts, and docs.
Syntax

site:github.com resume (kubernetes OR docker) “new york”

This search query will pull up all results of people in New York who have their resumes tied to their Github profile.

  • Use this search query to pull up different results from the github.io domain when compared to the github.com domain.
Syntax

site:github.io resume (kubernetes OR docker) “new york”

#3 More online communities

Communities and groups will be thriving with developers of all levels. Gathering information about them helps you personalize your cold email with an appropriate proposal for each candidate.

  • Meetup is an online community that is an amalgamation of various groups related to every walk of life. PhantomBuster is a tool that can scrape member information from groups you identify with your search query.
Syntax

site: meetup.com (developer | engineer) “women”

  • Medium is another vast community where identifying candidates with niche skills pays off.
Syntax

site: medium.com (developer | “cybersecurity engineer”) “women”

  • HackerNews has a conversation running where developers looking for work leave their contact information in the comments.
Syntax

site: news.ycombinator.com “who wants to be hired”

#4 Expand your search

Don’t restrict your search efforts to Linkedin. Social media platforms like Twitter, Instagram, and Reddit also respond well to Boolean search strings. Utilize hashtags, and keywords being used in popular communities on there and add them to your search strings.

Syntax

site:twitter.com (“follow me on Twitter”) (engineer OR developer) India

#5 Use tools

There are several image recognition tools like TinEye that help in conducting searches through images. Image sourcing is gaining popularity and can pull up candidate profiles from Github, LinkedIn, and so on.

Recommended read: A List Of Boolean Search Strings

FAQs on Boolean Search String

What are the basic Boolean search operators used in recruiting?

The fundamental operators are AND (to combine terms), OR (to search multiple terms), and NOT (to exclude terms). Additionally, symbols like asterisks (*) for wildcards and parentheses () to group terms are frequently used.

Can I use Boolean searching on all job boards?

Most modern job boards and recruiting platforms support Boolean searching. However, always check the platform’s guidelines or help section to understand the specific syntax they might use.

How can I improve my Boolean search skills?

Regular practice is key. Start with basic strings and as you get comfortable, incorporate more complex operators. Attending webinars, courses, or workshops can also help.

Are there tools to assist with Boolean searches?

Yes, many tools and plugins, especially for browsers, can help craft and test Boolean search strings. These can be invaluable for recruiters looking to enhance their searching capabilities.

Is there a risk of missing out on candidates using Boolean search?

If not used correctly, Boolean search can exclude potential candidates. It’s crucial to strike a balance, ensuring the search is neither too narrow nor too broad. Regularly revisiting and tweaking your search strings can mitigate this risk.

Bonus tip

Instead of spending too much time creating customized search queries, rely on tools like NativeCurrent that curate Boolean string suggestions based on your requirements. Use these pre-built search strings on the Google search engine. Saves you a lot of time and effort!

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Author
Ruehie Jaiya Karri
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December 22, 2021
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8 min read
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AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

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Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

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Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

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Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

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How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

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How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

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Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

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Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
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  • Built-in features to track, detect and flag cheating attempts
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