Home
/
Blog
/
AI Recruiting
/
5 types of HR automation tools for effective hiring process

5 types of HR automation tools for effective hiring process

Author
Arpit Mishra
Calendar Icon
January 24, 2018
Timer Icon
5 min read
Share

With advanced technology at our fingertips, isn’t it only logical that this technology is used for HR automation so that some of these mundane and transactional tasks to a bot, freeing up the HR personnel to focus on more value-added tasks?

Technology has made huge inroads into our professional and personal lives.

And it is no wonder then that a department that hustles several transactional tasks, which are routine yet vital to the smooth running of the organization, is undergoing a major transformation with technology at the helm.

Right from recruiting skilled talent (quite a long-drawn-out process that one!), onboarding them, entering employee data into the payroll system and updating it regularly. As part of this transformation, many companies are also adopting online billing servicesto streamline their financial operations. These services help automate invoicing, payments, and expense tracking, reducing the administrative burden on HR and finance teams. Utilizing anaccurate paystub makerfurther enhances efficiency by ensuring precise and compliant payroll documentation.

Granting leaves, handling shifts, assisting employees with any documents they might need.

Preparing tons of recruiting reports to promote companies at job events, organize external/internal training for employees, gathering feedback from employees, managing internal communication with employees, the operational and functional tasks that come under the purview of Human Resources are rigorous.

From the above list of exhaustive tasks that every HR department is laden with, most rely very heavily on documentation and manual processing.

(Also read – How to begin your digital recruitment strategy)

5 types of HR automation tools

  1. Pre-Recruitment HR automation

    In this article, we will focus on one of HR’s most crucial functions — recruitment. Traditionally, this has been an area that demanded a considerable chunk of the HR department’s time and efforts.

    A majority of the Millenials are familiar with how recruitment was done before the advent of technology.

    It was not very long ago that most households with job aspirants were witness to a morning routine of the aforementioned character hunched over the morning’s newspaper, armed with a pen in hand circling a few of the many job postings in the classified section while sipping a cup of piping hot coffee.

    Once the job postings were selected, the next task was to send printed copies of their resumes in neatly addressed envelopes to the addresses mentioned in the postings or at times, personally go deliver it at the organization.

    The HR department of the organization, upon receiving this application would go through it and on finding it relevant, would forward it to the manager, who would take a call on whether to proceed with the particular applicant.

    While this picture looks simple enough, in reality, there is a stark difference.

    For instance, it was not just one or two such applications that the HR department would have to go through, but several hundred for each role advertised.

    Manually going through each and every one of these was hardly time efficient if not impractical. All that changed with the advent of technology.

    While newspapers still post job ads, most of the advertising happens online on career building network sites, forums, or other forms of social media.

    Job aspirants, too, are no longer hunched over their daily newspapers, but are constantly checking for notifications about their job applications ((among other things, of course!) on their phones or laptop (with the hunching intact).

  2. Post-recruitment HR automation

    Recruiters can now sift qualified candidate resumes and discover some gems in the process from the many networking sites and other sources.

    The ease of applying for a job that the internet has facilitated comes with another daunting challenge for the recruiter.

    Selecting the right candidate from a sea of qualified and skilled applicants would be akin to fishing with a handy little fishing rod (to take the analogy further)!

    Let’s take a look at some specific areas of recruitment where automation can assist the HR to make the entire process easier, faster, and better.

  3. Resume screening automation

    The task of manually filtering through scores of resumes to find the ideal candidate is a daunting one, with a recruiter spending on average 23 hours screening resumes for a single hire!

    Around 52 percent of talent acquisition leaders consider resume screening to be the hardest and most time-consuming part of recruitment.

    It is for this reason that recruiters are turning to technology that goes a long way to alleviate this burden. With the help of data-driven automation software and applicant tracking systems, companies are able to function efficiently even when faced with a barrage of resumes.

    This intelligent software empowers the HR team to screen a select few candidates who meet their requirements.

    However, many industry experts such as Lou Adler, CEO of Search and Training firm The Adler Group, believe that today’s prevalent technology is ‘still about weeding out the weak rather than finding the best’.

    Volume recruiters would beg to disagree since they consider these software invaluable tools that enable them to focus on more value-adding tasks.

  4. Talent assessment automation

    Manually keeping an applicant updated throughout the recruitment process is yet another one of those crucial yet challenging tasks that the HR team struggles with.

    Considering the importance job seekers place on being regularly updated (67 percent reported to have a positive impression of the company that gave them consistent updates according to data from CareerBuilder).

    What better way to communicate with the applicant in a consistent manner than to engage them in some important pre-qualification information pertaining to their location, compensation, intent, and special skills if any?

    Not only would this be helpful in understanding the candidate better, but it would also engage the candidate during the recruitment process.

    An intelligent chatbot can handle the task of asking repetitive questions to candidates, thus engaging the candidate as well as enabling the recruiter to focus on other tasks.

    (Also read – 5 reasons you should use talent assessment software)

  5. Interview process automation

    Interviewing a candidate to get the best out of him/her requires skill, tact, and intuition among other qualities, which an interviewer may not always be blessed with.

    How many times have we sat across an interviewer, wiping sticky sweat across our brows and upper lip (ughh…), under his agonizing gaze, trying to form coherent sentences that would make even our weaknesses look like our strengths!

    This is not to say that all interviews are disasters, but with human biases aplenty, understanding a candidate’s strengths and weaknesses, his/her passion is not an easy task.

    Automation can help recruiters immensely in this respect — recruitment interviews conducted in collaboration with digitized interview technology equipped to assess factors such as their word choices, speech patterns, and even facial expressions can help decide how well a candidate will fit the role.

    Apart from these benefits, automated recruitment software also empowers candidates to schedule interviews as per their convenience at home or a venue of their choice.

    (Also read- How to improve your recruitment process using skill assessment)

HR automation software, a necessity?

As discussed above, automation of certain processes pertaining to resume screening, pre-qualification, and interviews make the entire process efficient and provide a positive experience to the candidate as well.

According to Ideal, a virtual recruitment assistant, a great example of HR automation aiding in recruitment is the iconic British clothing retailer M&S, who created over 35,000 job vacancies by automating the entire process, manually supported only by two human touch points making it an extremely efficient process and garnering a whopping 98% rating from its users!

Apart from providing a positive experience to the candidate, technology is helping recruiters with their administrative burden drastically.

With an ever-increasing hiring volume (56 percent according to a survey of talent acquisition leaders) but with 66 percent of recruitment teams remaining the same size, automation can help ease the burden on HR personnel.

(Also read – What are common mistakes in tech hiring)

Recent studies have revealed that some of the best-in-class recruitment practices involve reaching out to candidates long before they apply (or even sense the need for a job change) for the position.

More and more organizations are opting to engage and educate potential talent about the opportunities they offer, a paradigm shift from a traditional recruiter to a strategic one that follows proactive recruiting.

According to Aptitude Research partners, a Boston-based analyst, and advisory firm, this strategic shift is also resulting in close to 70 percent of enterprise companies investing in these functions.

This transformation of HR from an administrative facilitator to a strategic partner has been made possible thanks to a technological collaboration.

Boon for some, bane for others, it is imperative to understand that automation, when strategically applied to one’s recruitment process, can yield significant results.

Automate your hiring process using HackerEarth’s Talent Assessment Software

Subscribe to The HackerEarth Blog

Get expert tips, hacks, and how-tos from the world of tech recruiting to stay on top of your hiring!

Author
Arpit Mishra
Calendar Icon
January 24, 2018
Timer Icon
5 min read
Share

Hire top tech talent with our recruitment platform

Access Free Demo
Related reads

Discover more articles

Gain insights to optimize your developer recruitment process.

Vibe Coding: Shaping the Future of Software

A New Era of CodeVibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today,...

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing c

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

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

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

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

What is Systems Design?Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.Systems Design, in its...

What is Systems Design?

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

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

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?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

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

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

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

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

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.

How Candidates Use Technology to Cheat in Online Technical Assessments

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...

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
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
Top Products

Explore HackerEarth’s top products for Hiring & Innovation

Discover powerful tools designed to streamline hiring, assess talent efficiently, and run seamless hackathons. Explore HackerEarth’s top products that help businesses innovate and grow.
Frame
Hackathons
Engage global developers through innovation
Arrow
Frame 2
Assessments
AI-driven advanced coding assessments
Arrow
Frame 3
FaceCode
Real-time code editor for effective coding interviews
Arrow
Frame 4
L & D
Tailored learning paths for continuous assessments
Arrow
Get A Free Demo