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A Practical Guide To Hire A Technical Writer For Your Tech Team

A Practical Guide To Hire A Technical Writer For Your Tech Team

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June 28, 2023
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This is a guest post by Harshala Chavan, founder of Merrative.

A stronghold of technical concepts is necessary to write about any specific technology. But writing and coding are distinct skill sets, and hence, few experienced developers indulge in professional writing.

At Merrative, it took us multiple paid trials, hours of recruitment work, and a loss of USD 1000+ with unsatisfactory work to find our first 15 technical writers. In response to this, we designed a system to hire technical writers for our marketplace.

Read more to know how we scaled our technical writer talent pool from 15 to 150 and tips for hiring a technical writer.

Who is a technical writer?

A technical writer understands the underlying technology of a product to write technical documentation, blogs, whitepapers, or other communication formats.

At Merrative, we believe that talented tech writers should have the necessary expertise in the technical subject to understand how a product or feature works and write about it in simple, clear, and concise language. A technical writer is usually employed across companies in industries such as Technology, Healthcare, Finance, etc.

Job description of a technical writer

What sets technical writers apart from other professional writers?

Deep knowledge and understanding of technology. These skills are crucial to delivering solid technical documentation. Technical writers usually write for CTOs, developers, and even non-technical customers. Having such a varied audience means technical writers have to constantly tune their tone, information depth, and jargon usage as per the audience.

Also read: 5-Step Guide To Gender-Fluid Tech Job Descriptions (+Free Checklist)

Key responsibilities of a technical writer

Ensure your technical writer candidate can do the following:

  1. Research the product and grasp concepts of the underlying technology used to make the product
  2. Understand and follow technical content guidelines defined by the brand to draft technical documentation
  3. Work with team members across Product and Marketing to draft appropriate technical content
  4. Work with the Design team to create relevant diagrams, charts, code snippets, etc.
  5. Take feedback from team members, customers, and beta testers to align the content with their requirements.
Write great job descriptions to hire talented technical writers - Free Checklist

Key performance indicators (KPIs) for a technical writer

Use the following KPIs in the job description:

1. Technical accuracy: How well does your technical writer know your product? Are they adding correct code snippets to the content when needed? Define KPIs to measure how accurately the writer is presenting your product – a useful way is to design a technology or product onboarding for new joiners. Managers can also conduct regular tests or workshops about the product to align technical accuracy.

2. Readability: Technical content tends to get higher grades in online editors like the Hemingway app. This can be very misleading. Define an acceptable readability score for the hired technical writer or check how their published content performs. A great way to check the usability of written content is by asking for feedback. For example, Google takes feedback on its product support content by asking the reader ‘Was this article helpful’ with Yes/No options. This helps the support team understand the usefulness of the content published.

Treat as alias box in Gmail

3. Adherence to content guidelines: Define non-negotiable key content guidelines that the technical writers should follow

4. Collaboration: Define KPIs that include getting feedback from customers, other teams, and/or testers as part of the review process.

Average expected pay for technical writers:

According to Salary.com, the typical salary for a full-time technical writer ranges from USD 54,945 to USD 68,512 in the USA. For a freelance writer, the compensation for a technical blog post ranges between USD 350 to USD 1000+ depending on the content format and expertise.

When should a technology brand hire a technical writer?

A technology business requires a technical writer to cover the following content formats:

  1. User manuals: Step-by-step instructions about using the product
  2. Whitepapers: Authoritative reports to educate potential customers about your product use case or industry
  3. Developer documentation: Create guides and help tutorials for developers to build using your product’s ecosystem
  4. Newsletters: Email periodicals about your product, new features, and other information critical for engaging potential customers
  5. Technical blogs: Search Engine Optimized technical blog posts as per the company’s content marketing strategy.

Hiring a freelance technical writer v/s an in-house technical writer

Choosing between freelance and in-house technical writers depends on the number of content projects and expertise required.

For example, if your company plans to publish only three to five whitepapers a year, it doesn’t make sense to hire a full-time employee. On the other hand, if your publishing strategy includes multiple technical content formats, a freelancer may prove to be expensive.

What makes a good technical writer?

Apart from the non-negotiable exceptional writing skills, check for these top 3 must-have hard skills in your technical writer:

  1. Technical research skills: A good writer must thoroughly study your product, technology, and user experience to craft well-researched content.
  2. Writing skills: Technical content can be very dry and hard to understand. A good writer, usingspeech to text technology, not only writes grammatically correct content but also knows how to make really hard concepts easy to grasp for laymen, without sounding condescending.
  3. Visual communication: A technical writer may have to present instructions using diagrams, charts, or infographics. For this, they may have to work with a designer or need adequate visual communication skills to showcase technical diagrams. It is important to know how and when to use visual communication in your content to create impact, as well as resonate with the audience.

Check for these top 3 must-have soft skills in your technical writer:

  1. Empathy: A technical writer simplifies technology for common users. Empathy is key to ensuring they write what the reader can easily understand and implement.
  2. Attention to detail: Without attention to detail, a writer may publish wrong instructions or help instructions that hurt the brand’s credibility.
  3. Adaptability: Technology is constantly changing and a technical writer should know how to adapt and learn to keep up.

How to hire a technical writer? – the 5-step hiring process

At Merrative, we are a publishing talent marketplace that helps brands and publishers with thought leadership content. Here’s how we designed a process to hire a technical writer to save recruitment costs:

Step 1: Set the right expectations

Paid trials are expensive in the technical writing field. Hence, setting budgets and processes is key to ensuring you do not waste money in doing paid trials with unqualified technical writers.

1. Write technical documentation and create content guidelines

Creating content guidelines specifically for your technical content acts like a checklist for gauging how well the writer fits your requirements.

2. Create content brief templates for various content formats and topic segments that need to be covered

Having templates handy for the required content formats helps quickly assign paid trial tasks to selected writers. Save topic clusters for paid trials to test writers based on their experience.

3. Prepare agreements and fix a budget

Ensure that you sign agreements to protect your company data, product designs, and other key internal information as writing assignments may require sharing them. Have a budget in place to test technical writers accordingly. In our experience at Merrative, it is better to hire experienced writers who may charge more but produce quality output.

Step 2: Set up a ‘Write For Us’ program

‘Write for Us’ is one of the key ways in which writers and agencies approach companies they would like to work with for at least guest posting opportunities. This is a great way to collaborate with writers who are genuinely interested in contributing to your content library. It also reduces your recruitment efforts. Epilogue’s (Merrative’s in-house publication) ‘Write for Us’ page generated 100+ applications within 3 weeks of its launch.

Step 3: Create a technical writer interview checklist

Create a checklist of questions to ask potential technical writer candidates. Questions about company culture fit, professional experience, and technical expertise is a great mix.

Also read: 8 Unconsciously Sexist Interview Questions You’re Asking Your Female Candidates

Step 4: Set up a technical writer paid assessment workflow

At Merrative, a writer is selected based on our internal selection guidelines of educational qualification, industry experience, and professional writing experience. Then, we gauge the writing style and technical depth of the relevant samples shared by the writer as per our content guidelines.

We approach writers who meet our qualification guidelines for a paid trial assessment post negotiating budgets. On submission of the writing sample, we check how much they have adhered to our content guidelines and then proceed with more projects.

Good execution of Step–1 is crucial to ensure smooth trials in Step–3.

Step–5: Onboard the hired technical writer into your content production system

Like any new recruit, the newly hired writer, too, has to adjust to your company’s workplace culture. Having a good onboarding process ensures they are trained in using the product and tools used in your organization. Set up a meet and greet with the existing team for smooth collaboration.

Hiring rubric used by Merrative to filter the top 5% of technical writers

Here’s a hiring rubric used by Merrative to hire technical writers:

How to hire a technical writer - A Rubric

If you would like to understand more about our technical writer hiring process, feel free to email hello@merrative.com to schedule a chat. You can also download this hiring rubric and more resources from our free writing resources section.

5 tips for hiring the best technical writer

Here are 5 best practices used at Merrative that might help you streamline your technical writing hiring process:

  1. Stress on experience: At Merrative, we have experienced how writers who had graduated with a software degree, have worked in the software industry, or wrote about software as a hobby produced the best content compared to other candidates.
  2. Don’t take unprofessional behavior lightly: One of our writers in the talent pool submitted content with 3% plagiarism and defended it by saying how ‘3% is alright’. Eventually, we observed how the writer indeed slacked off multiple times in terms of adhering to defined content quality standards. Seemingly small but unprofessional behavior can add up as you work together and eventually become a problem.
  3. Review writing samples or portfolio: it is possible to understand a writer’s skill by gauging how they have structured their portfolio. For example, a diverse portfolio suggests a lack of subject matter expertise. Ask for relevant samples on topics your brand aims to cover and check the depth of writing. Carefully analyzing portfolios helps avoid unnecessary paid writing tests.
  4. Do not use job templates: using job description templates may dilute your branding and may not be enough to attract the right applicants due to being ‘general’. Carefully research what you require in your candidate and state that in your job description, or consider leveraging a writing assistant for personalized and effective job postings.
  5. Use screening tools: it is common to receive thousands of technical writer applications. There are many dedicated hiring tools like LinkedIn, Upwork, Workello, etc that help with test assignments and recruitment.

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June 28, 2023
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7 min read
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A New Era of Code

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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.

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Impact of Online Assessments in Technical Hiring


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

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

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

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

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

Cheating in Online Assessments is a High Stakes Problem



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



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

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

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

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

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

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

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


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

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

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


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

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

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


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

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

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

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

Future-proof Your Online Assessments With HackerEarth

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