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Best Way to Hire Employees in 2024 Guide

Best Way to Hire Employees in 2024 Guide

Author
Nischal V Chadaga
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December 2, 2024
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3 min read
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It takes time for organizations to fill up the positions, and in the year 2025, companies have to compete hard for talent. The problem of deciding on the best way to hire employees means combining innovative strategies with tried-and-true practices. Thanks to the development of new technologies, the growth of remote work, and the shift from focusing strictly on credentials, employers require an effective strategy to hire and onboard the best candidates effectively.

This guide outlines detailed strategies and emerging trends that can help your organization to hire employees in 2025.

Understanding the Challenges of Hiring in 2025

Before diving into strategies, it’s essential to recognize the challenges organizations face in today’s hiring environment:

Competitive Talent Market

The need for professional employees remains as high as ever, and more companies currently need help to recruit suitable talent, especially in the IT, healthcare, and niche sectors.

Remote and Hybrid Work

As the pandemic continues to progress and force companies into the new reality of remote work, employers are finding themselves having to attract talent from all over the world and adjust the hiring process to suit virtual environments.

Focus on Skills Over Degrees

Employers are switching from looking at academic qualifications to skills and experience, making more flexible assessments more necessary.

Retention Over Recruitment

Retaining the best employees is just as important as hiring in order to achieve the best results. Bad selection often results in wrong matches, hence high turnover rates.

To overcome these challenges, there is a need to have a strategic and diversified approach towards recruitment.

Step-by-Step Guide to Hiring Employees in 2025

Define the Role Clearly

Therefore, the first step in the hiring process is being very clear on what you want. Describe the role’s functions and competencies needed, and relate the role to the organizational goals.

Leverage Headhunting

In certain specialties, more than traditional job advertisements may be needed. Recruitment is the process of sourcing talented employees and contacting them to offer them a job. Read more about this approach in What is Headhunting in Recruitment?

Build a Strong Employer Brand

Job seekers in today’s world are just as picky as employers are with the candidates they are seeking to hire. A strong employer brand can:

  • Use the opportunity to communicate your company’s culture and work values.
  • Ensure you tell the success stories of the employees.
  • Ensure that your organization rises above other organizations in a competitive world.

Employ Skills Assessment Tests

In today’s employment practices, skills trump resumes. Offer skills assessment tests in order to gauge the abilities of the candidates.

An excellent chance to compare the candidates and choose the best of the best. Explore the benefits of assessments in Skills Assessment Test: The Key to Better Hiring.

Technology-Driven Hiring Strategies

Applicant Tracking Systems (ATS)

ATS tools help in screening resumes, keeping information in order, and tracking the process in general.

Embrace AI-Powered Recruitment

Artificial Intelligence can:

  • Assign candidates to posts that meet their abilities and expertise.
  • Tasks such as scheduling interviews should be done automatically.
  • Analyse given data and deliver an objective analysis for better decision-making.

Conduct Virtual Hiring Events

Virtual recruitment events are beneficial as they help you source candidates from a wide geographic area. They also reduce hiring costs and increase productivity.

Implement Job Simulations

Employment exercises are gradually gaining acceptance as a way of testing the aptitude of potential employees in actual working conditions. These simulations ensure that the candidate is capable of doing the job for which they are being considered.

Hiring Best Practices for 2025

Concentrate on Diversity and Inclusion

It is now a proven fact that diverse teams are way more innovative, creative, and productive than otherwise. To build an inclusive workforce:

  • Blind resume screening is the best way to prevent any bias to take place.
  • Make sure that the job descriptions are free from bias.
  • Educate the organization’s hiring managers on the concept of unconscious bias.

Integrate the Behavioral Interview and the Situational Interview

Behavioral interviews focus on past events and behaviors, while situational interviews inform about how a candidate would solve problems in the future. When used together, the two offer complete insight into a candidate’s potential.

Make the candidate experience unique.

The candidate experience is crucial and can either make or break your employer’s branding and ability to attract the best talent. Personalization includes:

  • Personalized messaging during the hiring process.
  • Comprehensive and specific schedules and frequent communication.
  • The main benefit of the interview and assessment process is the lack of interruptions.

Employ Competitive Wages

The best talents are usually interviewing for jobs with other companies as well. Be sure that your benefit offerings compare well with those being offered in the marketplace and ensure that the ones that are being offered include flexible working options, training, and development, as well as health and employee care.

Onboarding for Success

Effective onboarding is an essential step that ensures that the talent you have searched long and hard to find remains with your company. In 2025, onboarding should:

  • Be communicative for employees working from home.
  • Successful acquisitions should incorporate mentorship programs for ease of integration.
  • Develop expectations and goals that should be achieved in the first 90 days in the organization.

The Performance Appraisals

Performance appraisals are not only used for the current employees but can also be used to review new employees’ performance throughout the service contract. Learn more about effective appraisals in Performance Appraisal: A Comprehensive Guide.

Case Studies: Real-World Applications

Case Study 1: Deel’s Global Hiring Strategy

Deel is a payroll and compliance provider that has disrupted hiring by creating ways for organizations to hire people from other countries. Through the employer of record service, Deel takes care of employment law compliance in more than 150 countries to help organizations access diverse talents without the hassle of dealing with the laws of different countries. This approach has provided organizations with a way to source talent and survive the new world of work in 2025.

Case Study 2: The Policy and Commitment of Boston Scientific to Diversity

Boston Scientific—a company specializing in manufacturing medical devices—has been actively working on diversity and inclusion. This firm revealed that, as of 2018, half of its employees were female, while 38% of these employees were managers. Through diversification of objectives and raising cultural sensitivity, Boston Scientific has improved its invention and productivity; as a result, the importance of diversity in the recruitment process is illustrated.

Future Trends in Hiring

Looking ahead, several trends are expected to shape the hiring landscape:

  • Data-Driven Recruitment: Applying knowledge of analytics to forecast candidate’s performance and achieve better hiring outcomes.
  • Gig Economy Integration: Integrating freelance and contract employees into the talent plan in accordance with the changing business requirements.
  • Employee Experience Focus: Optimizing the candidate process from application to joining and increasing retention and satisfaction levels.

Conclusion

The best way to hire employees in 2025 means changing focus, implementing technology, and increasing the focus on skills and diversity. Through the above-mentioned strategies, organizations will be able to employ and maintain good performers to enhance their growth in the existing competitive environment.

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Author
Nischal V Chadaga
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December 2, 2024
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3 min read
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Vibe Coding: Shaping the Future of Software

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 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 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.
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