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5 Steps To Creating An HR Recruitment Dashboard (+ Free Template)

5 Steps To Creating An HR Recruitment Dashboard (+ Free Template)

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Harshini Satya
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August 23, 2019
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8 min read
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Making sense of all the recruitment metrics in your organization—number of applications, screening calls, interviews—can be a daunting task, even for the most tech-savvy recruiters. This is where a recruitment dashboard comes in handy. It can help you bring together a rundown of all the recruitment data in your organization, and predict what’s going to happen and plan your next actions.

But, how to create a dashboard that curates all the recruitment data for you in one place?

In this article, you’ll uncover:

  • 5 simple steps to help you skyrocket your recruitment process
  • A free recruitment dashboard template

Let’s get started!

What is a recruitment dashboard?

A recruitment dashboard is a visual representation, often interactive, of various recruitment metrics and KPIs (Key Performance Indicators). Think of it as the control room of your recruiting operations. Just like how a car’s dashboard provides essential information about speed, fuel, and engine health, a recruiting dashboard offers HR insights into the hiring process’s effectiveness and efficiency.

Key elements typically displayed include:

Number of open positions: A simple count of how many roles you’re currently looking to fill.

Source of candidates: Breakdown of where your candidates are coming from – job boards, referrals, direct applications, etc.

Time-to-Hire: Average time taken from when a role is advertised to when an offer is accepted.

Application-to-Interview ratios: How many applications lead to an actual interview? This metric offers insights into the quality of applications.

Cost-per-Hire: An understanding of how much, on average, you spend to recruit a new employee.

Candidate feedback: Scores or feedback from candidates about their experience during the recruitment process.

Diversity metrics: Information about the diversity of candidates applying and being hired.

This dynamic tool evolves with your recruitment process, helping HR professionals, hiring managers, and even company executives get a quick snapshot of the hiring landscape.

Steps to Create HR Recruitment Dashboard Template?

Step 1: Know what you want

Create a list of questions you want to be answered. These questions will help understand your team’s performance better. Whether you’re a one-man/woman team or a 50-member team, this step is highly valuable. It will help you create a layout for the detailed recruitment steps required to hire the right candidates for your organization.

You can start with the following list: (feel free to add on to it)

  1. How much time does it take for a candidate to complete the hiring process?
  2. At which stage are the candidates dropping off
  3. How many candidates does it take to close one role?
  4. What percentage of the open roles is my team able to close in 1 quarter?
  5. How many critical roles are there to fill (roles that are open for more than 60 days)?
  6. On average, how much does it cost to hire a candidate?
  7. How many applicants get past the screening stage?
  8. How many candidates accept the offer and join?
  9. How many offer dropouts do you have?
  10. How many candidates drop off during the entire process?

Based on the industry or company you work in, there may be a lot more questions. List them out and get started.

Step 2: Identify key metrics

Once you’ve nailed step 1, achieving this step will be relatively easy. Take all the questions you have identified and find the relevant metrics for each of these questions. Also, identify the input metrics for each of these.

Input metrics is basically the data you need to calculate the key metrics.

For example, to calculate cost per hire, you need to know the total amount that was spent on recruitment activities and the number of open roles. Therefore, the amount spent and no. of open roles are your input metrics for the key metric—cost per hire.

Question Key metric Input metrics
How much time does it take for a candidate to complete this whole process? Avg. time to hire Time to hire for individual roles (in days), no. of roles
At which stage are the candidates dropping off? Bottleneck bucket No. of drop-offs per recruitment phase
How many candidates does it take to close one role? Conversion rate No. of candidates, no. of roles
What % of the open roles is my team able to close in 1 quarter (success rate)? Closure rate No. of open positions, no. of positions closed
How many critical roles are there to fill (roles open for more than 60 days)? No. of critical roles Time duration for which each of the roles were open
How much does it cost to hire a candidate on average? Cost per hire Amount spent on recruitment activities, no. of closed positions
How many applicants are qualified for the perusal? Qualification rate No. of applicants, no. of candidates who passed the screening stage
How many candidates accept the offer and come through? Offer acceptance rate No. of offers rolled out, no. of offers accepted
How many offer drop-offs do we have? Offer drop-off rate No. of offers rolled out, no. of offer drop-offs
How many candidates drop off during the entire process? Application drop-off rate No. of applicants, no. of candidates who didn’t show up in any stage of the recruitment process.

Step 3: Collate the data

Gather your data for these metrics from all your sources. For example, your ATS, Excel sheets, or a combination of both. Many organizations also utilize HR software to streamline the collection and management of recruitment data. If you are looking for an efficient HRM tool already, it’s good to explore tomHRM alternatives that could offer additional features or better align with your specific needs.

Identify where you can get all your input metrics from and start adding them to an Excel sheet. Once you have the input metrics, it’s time to calculate the key metrics. You can use the formula below to get the numbers.

Key metric Formula
Time to hire Time taken to hire for each role / Number of roles
Cost per hire Amount spent on advertisements and other hiring activities / Number of roles
Qualification rate (No. of applications screened – no. of applications that went to the next stage) / No. of applications screened *100
Conversion rate No. of candidates per role closed / No. of applications for that role *100
Closure rate No. of roles closed/Total no. Of roles in the quarter *100
No. of critical roles No. of roles that have been open for more than 60 days
Offer acceptance rate No. of offers accepted / Total no. of offers rolled out * 100
Offer drop-off rate No. of offer drop-offs / Total no. of offers rolled out * 100
Application drop off rate No. of candidates that dropped out at some stage in the process / Total no. of candidates * 100

Side note: This process can get a little time-consuming. If you don’t want to set it up yourself, you can use the template where all the formulas are already set up. You just need to add in your input metrics.


Also read: Kaleyra Reduces Its Screening Time By 50% Using HackerEarth


Step 4: Make it look stunning

Average time to hire Number of candidate in each stage of recruitment

No dashboard is good enough if it doesn’t ‘look good.’ A few simple steps can make it look a lot better than just a list of numbers:

  1. Use simple fonts
  2. Use appropriate alignment
  3. Use colors to differentiate the data
  4. Use charts to help you depict the data better.

Step 5: Analyze data and present insights

Remember, the most important aspect of a dashboard is what you infer from it. How will it benefit you if you create the dashboard and send it out? You can establish your expertise by carefully analyzing the data and creating new action steps.

What Metrics Should You Track on Your Dashboard?

Let’s take a look at how a few of these metrics can contribute to proactive action steps:

Average time to hire

If your average time to hire is beyond your company threshold, then you know that you need to improve the recruitment process. The company threshold may vary for each company. If you are an extremely fast-paced company, then your limit might be less than 30 days. 60 days is an average across many companies and some companies are even ok with 90 days.

So if your threshold is 60 days and your average time to hire is 65 days, then you know that business is getting affected and the recruitment process needs to be optimized. To do this, it’s important to understand which phase is the bottleneck.


Also read: Reduce time-to-hire developers with coding assessments.


Bottleneck bucket

This one’s straightforward, the phase that is your bottleneck bucket needs a revamp. For example, if your bottleneck bucket is the interview phase because 50% of the candidates don’t show up for the interview, then you probably aren’t selling the role well enough.

Remember, as a recruiter it’s your job to ‘sell’ the role and it’s the candidates’ job to ‘sell’ what they can do for the company in the interview. So once you find your bottleneck bucket try to fix what’s not working.

Conversion rate

If your conversion rate is low, then you know you’re putting in a lot of effort to close one position, and if that’s going to continue, then your team will burn out or be in a ‘perpetually busy’ state. That’s not where you want your team to be.

Fixing this ties back to the previous metric of the bottleneck. Find out at what part of the process is the biggest bottleneck and try to fix that. That will have an impact on your conversion rate. Or it should at least point you in the right direction of what needs fixing.

This way you analyze all your metrics—where they stand and what are the actions you need to take to fix it. Add these action steps to the dashboard and send them across to your team to be a Rockstar recruiter!

Now that you know that you need to create a template, you can either get started from scratch or you can download the template here:

How to use the recruitment template included?

In the template, most of the important metrics are included and ready to use. Let me give you a quick tour. This template is designed for a quarterly review. You can convert it to suit a monthly review too. You need to use the following three sheets:

  1. Role tracker sheet: This sheet gives you an overview of all the roles that have been opened and the status of each role.
  2. Candidate tracker sheet: This sheet tracks the status of all the candidates that have applied for any role. If you use an ATS, you can export the data from the tool into this sheet.
  3. Dashboard sheet: This sheet gives you a summary of the performance of your recruitment process. It includes twelve (ten in the chart above and two below) of the most important metrics that most companies track. All these metrics are automatically calculated based on the inputs of the role tracker sheet and the candidate tracker sheet.
    1. Overview of the current status of roles:
      1. No. of target roles for the quarter
      2. Total roles closed to date
      3. Open roles
      4. Roles in the offer stage
      5. Roles on hold
      6. Roles open beyond 60 days
    2. The efficiency of the recruitment process:
      1. Average time to hire
      2. Amount spent this quarter
      3. Cost per hire
      4. Qualified candidates’ rate
      5. Offer acceptance rate
      6. Application drop off rate

There is a sheet that gives you all the instructions on how to use the template and what each of the terms means. You can always refer to this sheet to understand how to use this sheet.

Tools needed to create a recruiting dashboard

With advancements in online software, creating a recruitment dashboard has never been easier. Here are some of the top tools to consider in 2024:

Tableau: Renowned for its data visualization capabilities, Tableau allows you to craft detailed, interactive dashboards by connecting to various data sources.

Microsoft Power BI: A powerful tool, especially for those familiar with the Microsoft ecosystem. Power BI offers extensive customization options and can integrate seamlessly with tools like Excel.

Google Data Studio: A free tool by Google, it’s excellent for those just starting out. With integrations to Google Sheets and other G-suite apps, it’s a convenient option for many.

Zoho Analytics: Specifically designed for business intelligence, Zoho offers a plethora of pre-made templates, including those for recruitment.

Trello and Airtable: While not traditional dashboard tools, by leveraging their integrations and plugins, recruiters can create visual boards that give a snapshot of the recruitment process.

Recruiting software with built-in dashboards: Many ATS (Applicant Tracking Systems) and recruiting platforms now come with built-in dashboard functionalities. Examples include Greenhouse, Workable, and SmartRecruiters.

I hope that this guide and template will help you get one step closer to understanding how to create a recruiting metrics dashboard.

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Author
Harshini Satya
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August 23, 2019
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8 min read
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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.
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