Hiring Software Developers with Evidence-Based Processes Saves Time and Effort

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Photo by cottonbro: https://www.pexels.com/photo/woman-using-laptop-3205546/

You may have to invest time and money to get a qualified software developer. It takes time and effort to figure out who to recruit, how to interview them, and what questions to ask. In this article, we’ll cover some evidence-based hiring techniques that will help reduce the time and effort spent on hiring while at the same time increasing the efficacy of the process. The process of hiring great technical talent is also expensive because it has the potential for mistakes that could kill budget or productivity if not fixed quickly.

Create specialized training programs for certain vocations.

Most tech teams include a wide range of roles, from data scientists to front-end developers, all of whom have a specific area of expertise. You must personalize your technical training to the precise tasks you are looking to fill. While developing your application, it is best to steer clear of pure algorithms and data structures. These may be important indicators, but they shouldn’t be the primary focus of an evaluation of developer code.

A good evaluation of a software developer will include several distinct elements:

A problem statement sets the stage for what type of issue they need to handle — this should be relevant and engaging enough that the applicant can grasp how it pertains to the function they are looking for.

The task should need some coding – here is where you will evaluate their technical abilities, creativity, and problem-solving skills. It’s not about having them write a million lines of code but rather creating an exercise that is difficult enough to assess the candidate’s talents.

Finally, they should be able to explain their reasoning behind their actions — what did they do and why did they do it? What other approach may a coworker use to this problem? A good exercise provides all this information, so you can examine how effectively applicants convey concepts verbally, in writing, and via code.

For the best of both worlds, have an interview process that includes technical and work-related questions suited to the particular jobs in your company. As an illustration: Give them a SQL query or ask them to show you some code that extracts information from vast swaths of text if you’re looking to hire a data scientist (such as blogs). Keep in mind that no one can be an expert in everything, so concentrate your inquiries on the specific competencies required for the position. It should be acceptable as long as they show sufficient skill.

Be wary of becoming bogged down in the complexities of modern tech stacks.

Hiring managers often obsess about the company’s technological stack. They concentrate their efforts on locating people familiar with the specific stack they want to build. Even though finding someone who doesn’t need to be educated on a single technology might be quite helpful, the truth is that skilled developers should be able to learn different technologies without any difficulty.

Overemphasis on a single piece of technology might lead to inefficiencies in your workflow. It’s possible that your team is too fixated on hiring someone with a certain set of skills and omits to consider other aspects of potential hires. If the developer skill pool for a certain technology is limited, it might lead to a protracted search process. You don’t want to artificially restrict your skill pool if you want to employ the top applicants.

Is there any dispute about the value of understanding the technological stack? Certainly, it helps new hires get up and running faster if they don’t have to learn new technologies first. On the other hand, Django and the MEAN stack integrate ideas and structures that may be used in other frameworks. Spend some time contemplating what other technologies are sufficiently comparable to your own. Is there a huge difference between Ruby and Python? Is it possible for a Django developer to learn Ruby on Rails in a short period? If you have a working knowledge of SQL and JavaScript, shouldn’t you be able to learn MongoDB quickly?

Even if their past job experience and the project/team climate don’t quite fit, don’t count them out! Take a close look at their prior job history, paying particular attention to what made them successful in those positions. Is the candidate’s experience relevant enough to the job function but not identical? If you measure their abilities, choose a technology that they are more familiar with that is close enough to your stack to be useful.

Ensure your interviews are lighthearted and friendly!

We all know that finding new personnel isn’t simple. Why not make the recruiting process more pleasurable by including some amusing elements? After all, everyone enjoys a good game, particularly if the prize is useful (such as an awesome new job). When people perceive that you’re having a good time throughout the interview process, they’ll be more inclined to sit through more of them. Candidate engagement is a good recruiting indication if they actively participate in the process.

When conducting an interview, it is important to keep the subject matter interesting. You want the applicant to do most of the talking, but you don’t want them to feel like they’re sitting in front of a firing squad during the interview. Remember that if you decide that the applicant is good hiring, you want them to like the work.

Don’t merely offer them difficult tasks to solve when evaluating engineering prospects. If you want to enthuse your engineers about the exercise and your firm, give them an intriguing and challenging technical task to work on.

A technical evaluation is only the beginning.

Using code evaluation tools may be quite beneficial in the recruiting process, and it should be done as part of it. People will be reluctant to employ you if you cannot demonstrate your aptitude for programming by demonstrating your ability to code. When it comes to hiring, many firms get bogged down with the idea of having someone take a test and then ranking them based on that score alone. You should get more information than simply a score from a comprehensive evaluation. You should be able to expand on what you learn from this exercise and apply what you’ve learned to the remainder of your work.

For software developer hiring, evidence-based technical evaluations are ideal. Additionally, their work enables you to review it as you continue to hire new employees and screen out those who don’t perform. Rather than just asking developers how they’d enhance their design under different circumstances, why not give them a coding task to complete?

As a rule of thumb, technical evaluations aim to gather information from applicants. The top talent assessment solutions will help you extract such insights for their full value. An evaluation tool that requires developers to write code to get a score may also provide consistent work samples that your team can examine. When paired with scoring rubrics and AI, good assessment platforms enable your team better to grasp the quality of a person’s work rather than simply their capacity to do it.

Set up a standardized interview process.

The most reliable technical interview method is one that is structured. It is easier to make better recruiting judgments when technical interviews are well-structured. Using distinct recruiting signals that you can quantify and analyze to make data-driven hiring choices makes it much simpler to compare prospects when doing huge numbers of interviews.

Consider how you’ll measure your candidates’ performance while developing your interview questions and skills. Interview kits are common in many ATS systems, allowing candidates to score their own answers to interview questions. Add your evaluation hiring signals into the mix so everyone can view a candidate’s whole skill profile in one spot. One answer to this challenge is Qualified’s platform. Observations of behavior and the quality of the candidate’s answer are only two examples of data companies have included in their interviewing procedures. It’s all down to Qualified’s new evidence engine, which analyzes all of these inputs and generates a single profile of every piece of information gathered.

Restriction on how you use the whiteboard

An on-site or remote interview using a whiteboard is a common part of traditional technical recruiting procedures. Whiteboarding has come under fire recently since it is seen as an outdated interview method to force engineers to create code in a style that is difficult for them to understand. Since this is not a common practice among software engineers, it puts them in an unusual situation. However, this does not rule out the possibility of whiteboarding as a viable option. People utilize whiteboards in the workplace, so consider when and how you may make use of one. The whiteboarding technique may be used as a model for future projects.

Whiteboarding should only be used for technical exercises involving open-ended design concerns. Just recall how many sessions your group had had in the past when a whiteboard was used to generate ideas. What can you do with a candidate to get them to submit ideas without requiring a certain amount of background knowledge? Ask them about the products they use and see if you can find one that you’ve heard of before. In the case of front-end developers, you may want to show them a website design and ask them how they would execute it. What kind of mobile optimization aspects do they need to take into account? Discuss with AI experts what inputs and outputs are required for a specific solution. Whiteboarding is an excellent tool for evaluating “Technical Communication” and “Design Thinking.”

Friendly coding evaluations

Technical competence may be assessed without applicants writing code in front of you. Assessments that don’t require candidates to write code in front of a room full of people may look at a wide range of technical communication, design thinking, and problem-solving abilities. Replicating the position’s tasks naturally is a good technique for applicants to perform well. Make it possible for job seekers to work on their code from home in a familiar and comfortable atmosphere.

But it doesn’t imply that you must stop learning about how the candidate thinks. You may use recordings to track the evolution of their answer. AI-powered coding evaluation services, like Qualified, may provide extra insights about applicant performance that you would not otherwise discover. You’ll save time bypassing lengthy coding sessions and gain more knowledge in the process.

Take advantage of professionally-created coding tests.

There is a lot of lost effort and incorrect outcomes if you build your technical assessments. For developers with specific expertise in areas where the technical evaluation isn’t well-designed, this is extremely important when evaluating candidates. Designing a test is a complex process. What are the necessary technical skills to be tested? What are the precise criteria that it is aiming to address? Is the material of the exam accurate? Is the coding challenge based on industry standards and best practices? Is it scored correctly?

In order to ensure the quality of the testing of coding abilities, you must first create and then build all of the tests necessary to support that testing. Think about hiring subject matter experts to choose from pre-existing problems that have been professionally crafted instead of creating your own.

Reviews aren’t limited to Pull Requests.

There are several ways to profit from the advantages of whiteboarding, and they may be used in any method. This is an excellent example. A candidate’s own open-source code or code they generated for a prior coding exam may be used to code pair. Use the code as a starting point for debate, and go through the pros and cons of various alternatives. Now that they’ve had more time to think about it, ask the applicant what changes they’d make to their code. What can be done to make things better?

Use code that the applicant is already acquainted with wherever possible. If you provide them with code they have never seen or written, they will be very anxious as they attempt to decipher the code in front of you. Always remember that if your recruiting process comprises steps that aren’t relevant to the position, you’ll send out weak signals to potential candidates. Avoid placing developers in unpleasant circumstances that may induce them to act poorly since they normally read codebases independently and not in front of an audience.


Developing the ideal hiring process may be difficult for hiring managers and their teams, but it doesn’t have to be. You can take many steps to enhance your technical recruiting process, and I hope this post has given you some ideas to get started. Faster judgments and reduced biases may be achieved by using an evidence-based recruitment technique. It’s all about the quality of your process’s inputs; therefore, get the best possible inputs.