Articles

Improve your hiring strategy with AI interview tools

Improve your hiring strategy with AI interview tools

Have you integrated AI into your hiring approach? AI recruitment instruments offer benefits such as accelerating the hiring process, enhancing interview queries, and minimizing prejudice. In this article, we delve into how you can utilize AI to boost your recruitment strategy.

Interview questions to ask candidates - and what their answers mean

The standard competency question These are the most common type of questions to ask when interviewing, and will usually start with the phrase along the lines of “Can you give me an example of when you…”. They can be adjusted to suit whichever skills you’d like the candidate to tell you about, for example, delivering excellent customer service, resolving a conflict or influencing a senior stakeholder. Competency style questions are good for when you want to find out about specific competencies or skills the candidate has, and how they have used them to resolve previous situations. Good candidates will often plan responses to these and should give clear, thought-through examples. Look for evidence in their answers that they can give you a clear situation, the task at hand, the action they personally took, and the (positive) result of that action - the STAR method. The follow-up question Follow-up questions allow you to get more detail, and look beyond the glossy prepared answer, which, although sounding impressive, may cover up a lack of detail or personal involvement. Asking good follow-up questions allows the candidate to engage on a higher level, and have to think on the spot a bit more, as they might not be as prepared for one of these. The curveball question If you really want to test a candidate’s ability to think on their feet, throw in a curveball or two. These can be completely unrelated to the job but may be an extension of something on their resume or relate to current affairs that you’d like them to comment on or explain to you. It will test their decision-making under pressure, and the ability to articulate an unprepared response, which can be very important in some jobs. The hypothetical situation question Some love and some hate these, but they can be seen as a very good example of testing rational thought and logical reasoning quite quickly. Such questions are normally along the lines of asking the candidate to imagine they are in a certain situation, and then asking them to decide, based on information and parameters provided. The “describe yourself” question These can come in many forms, and you can ask candidates to imagine what their previous boss or co-workers would say about them, or just to sum themselves up in a few words. This will show whether a candidate can empathize with another person’s point of view and express it, or their ability to give a succinct answer when only a few words are required.
3 MINUTE READ

Why talent is your ultimate advantage in freight & logistics sales

The freight and logistics industry is rapidly embracing technology. Automation and artificial intelligence are streamlining everything from warehouse management to customer support, promising unprecedented efficiency. But as we race to digitize, it's crucial to ask: where does the human touch still hold the most value? While AI can handle operational tasks, the real competitive advantage lies in your sales team. In a market built on relationships, skilled salespeople are not just an asset—they are your key to sustainable growth. The AI takeover: where tech excels There's no denying the power of AI in logistics. It can optimize routes, manage inventory, and handle routine customer queries with speed and accuracy far beyond human capability. These are areas where data and efficiency reign supreme. For instance, AI-driven platforms can analyze vast datasets to predict shipping delays or automate documentation, freeing up valuable time and resources. This technological shift allows companies to reallocate their human capital to areas where it can make the most significant impact. By automating repetitive, data-heavy tasks, you empower your team to focus on strategic initiatives, complex problem-solving, and, most importantly, building and nurturing client relationships. The irreplaceable value of human sales teams While AI can analyze data, it cannot replicate the nuances of human interaction that are central to high-stakes sales. The freight and logistics market is not just about moving goods from point A to B; it's about building trust, understanding complex client needs, and creating tailored solutions. This is where a skilled sales professional becomes invaluable. Key advantages of a human-led sales approach include: Building Genuine Relationships: A salesperson can connect with a client on a personal level, understanding their business challenges and goals in a way an algorithm cannot. This trust is the foundation of long-term partnerships. Navigating Complexity: Experienced sales professionals can navigate intricate negotiations, customize service packages, and address unique client concerns on the fly. They can read the room, adapt their pitch, and provide the reassurance that closes a deal. Strategic Problem-Solving: When a client faces a unique logistics challenge, a salesperson acts as a consultant. They leverage their industry knowledge and network to devise creative solutions that an automated system might overlook. "In freight sales, relationships aren't just important—they're everything. Clients want to work with someone who understands their business, anticipates their needs, and solves problems before they escalate. AI can assist, but it can't replace that personal connection." Christian Garcia - CEO & Founder of GS Talent Recruitment, part of the Reed Group Top freight salespeople bring more than product knowledge to the table. They listen actively, read between the lines, and adjust their approach based on subtle cues during conversations. They build long-term partnerships by being present during high-pressure moments—whether that's renegotiating terms after a service disruption or finding creative solutions when a client's needs suddenly change. These interactions require empathy, cultural awareness, and the ability to navigate complex negotiations. While AI can analyze data and suggest optimal pricing strategies, it cannot replicate the instinct a seasoned salesperson uses to sense when a client is hesitant, skeptical, or ready to commit. Invest in your greatest asset Automating operational roles is a smart move for any forward-thinking freight company. It enhances efficiency and allows you to focus on what truly drives growth. However, the path to market leadership is paved by the relationships your sales team builds. Investing in top sales talent is not an expense; it is a direct investment in your company's profitability and competitive edge. These professionals are the face of your brand, the architects of your client relationships, and the drivers of your success. As technology continues to evolve, the uniquely human skills of empathy, strategic thinking, and relationship-building will only become more valuable. Hire top freight & logistics sales talent Ready to build a sales team that gives you a true competitive advantage? GS Talent Recruitment specializes in connecting US freight and logistics companies with elite sales professionals who have the expertise and drive to take your business to the next level. Let us help you find the talent that will secure your company’s future by registering your vacancies with us today.
5 MINUTE READ

Improve your hiring strategy with AI interview tools

Unleashing the potential of AI in recruitment Artificial intelligence (AI) is transforming the recruitment field and altering how businesses recruit. Here are a few methods through which AI can boost the productivity and efficacy of the recruitment process: Automate repetitive tasks A key advantage of utilizing AI recruitment instruments is their capacity to automate monotonous tasks. Such tasks may encompass sifting through resumes, arranging interviews, and dispatching subsequent emails. AI makes tasks easier, giving recruiters and managers more time for important parts of hiring. Streamline candidate screening Conventional screening techniques can be lengthy and prone to human mistakes. AI can quickly analyse many resumes and identify the best candidates using predetermined criteria. This not only speeds up the screening procedure but also ensures that we don't miss any candidates. Gain valuable insights AI can offer crucial understanding that aids recruiters and hiring managers in making knowledgeable choices. Predictive analytics can anticipate a candidate's work performance and similarity with the company culture. It will help the hiring manager to understand if that job applicant is a good fit for the business. AI recruitment instruments can also scrutinize a candidate's social media accounts to understand their character and principles. This understanding can assist recruiters in making more impartial and data-oriented recruitment choices. Learn more about social media screening. An inventive use of AI in hiring is the creation of interview questions powered by AI. This tech employs machine learning algorithms to scan the given criteria and produce pertinent interview questions. The system considers the job title, skill set, and experience level. It then generates questions that accurately evaluate whether a candidate is suitable for the role. Introducing Reed's interview question generator Reed's interview question generator generates interview questions using AI algorithms, based on criteria given by the employer. It's a powerful tool. The tool has a simple interface, allowing employers to enter job details and get a list of questions. You can download the list in a Word document for your interview. You can also copy it to send to a colleague or use it in another document. The tool is helpful for hiring managers in many ways. The tool helps hiring managers in many ways. Employers can access Reed’s interview question generator Tailoring interviews with customizable criteria To begin, just enter the job title, seniority level (e.g. entry-level, middle manager, board level), and industry for the recruitment process. Next, you pick a maximum of three soft skills that you desire in your ideal candidate. Options include abilities like emotional intelligence, inventiveness, business acumen, and analytical thinking, among others. In just a few minutes, the tool will produce a collection of custom-made interview queries for applicants. Once your questions are ready, you have the flexibility to reorder the question sequence, choose different skills, refresh the whole set or lock your favourite questions and revise the rest. How does the tool adapt to different industries and job roles? This AI-based interview instrument enables companies to customize interview queries according to their unique requirements. The selection criteria encompass the job position, necessary skills, experience level, among others. The instrument utilizes these parameters to formulate questions that align with the job and the company's needs. You can use the interview question generator for any job role. Either select one from the drop-down list, or just choose your own. You can also choose from 27 industries, from engineering and manufacturing to insurance and pensions. Reed's interview question generator can help assess candidates with relevant questions. You can use it for hiring in a tech startup or a manufacturing company. Maximising hiring success with AI-generated questions Skilfully designed interview queries are crucial for assessing a candidate's abilities, background, and suitability for a position. Employers can now utilize our cutting-edge interview question generator tool to aid them in making knowledgeable recruitment choices. Interview questions help to gain a better understanding of a candidate's skills. They also ensure a fair interview process, reduce bias, and improve the quality of hiring. Utilizing the tool offers several advantages to employers, including time efficiency, enhanced candidate experience, and superior hires. The interview question generator is especially useful for specialized roles or sectors where certain skills or experiences are necessary. By creating customized questions, the tool assists employers in evaluating if candidates have the distinctive skills needed.
4 MINUTE READ

7 Signs of an AI-Generated CV (and How to Respond)

A recent study conducted by the workplace engagement platform Kahoot! brings an interesting trend to light: 65% of recent graduates now rely on artificial intelligence tools, like ChatGPT, to craft their cover letters and job applications. The research also highlighted that over half (51%) of these jobseekers confess to inflating their abilities on their CVs or LinkedIn profiles. When breaking down the specific areas of embellishment, 53% admitted to exaggerating their previous work experience, 39% overstated their language skills, 37% exaggerated their educational background or qualifications, and 36% inflated their previous job titles. Whether you are a hiring manager, an HR professional, or a recruiter, the message is clear. We must look past the glossy, perfectly formatted documents and recognise the new reality of the job market. AI-assisted applications are rapidly becoming standard practice. Interestingly, a recent poll hosted on Reed’s LinkedIn page uncovered that a mere 37% of businesses have updated their recruitment strategies to handle AI-generated or heavily exaggerated applications. As a leading global recruitment service provider, Reed Recruitment is witnessing a significant transformation in how candidates pursue new roles. A CV is no longer guaranteed to be the product of a candidate's hard work and late-night typing. Artificial intelligence has made it remarkably simple for anyone to produce sleek, highly professional documents in a matter of moments. While these digital tools certainly help level the playing field for individuals who might find professional writing challenging, they present a unique hurdle for employers. Identifying the use of AI is not about penalising applicants or instantly rejecting their applications. Rather, it is about gaining a true understanding of the person you are assessing. By noticing the hallmarks of machine-written content, you can adjust your interview strategies to uncover a candidate’s genuine skills and potential. Below, several of our recruitment experts share the most common indicators that a digital ghostwriter might have crafted a candidate's application. 1. Flawless yet generic language One of the most immediate giveaways of an AI-crafted document is its absolute perfection. Because artificial intelligence models learn from massive collections of professional text, they almost never produce grammatical faults. Gaurav Tewari, Location Head for Reed’s Middle East operation, observes: “Spotless applications with no typos used to stand out as a positive sign, but with the rise of AI, this level of perfection has become almost routine. In all my recruitment experience, I have never encountered such a volume of error-free CVs.” Gaurav further explains: “While AI-generated CVs on the surface can make an applicant seem impressively creative—almost granting them an artistic edge—you only really get a sense of authenticity once you speak with the candidate. That’s often when it becomes clear the document has been either fully written by AI or at least significantly enhanced with its help.” Klára Pethő, Director for both Reed Germany and Reed Hungary, notes: “Keep an eye out for applications that read in a very clinical or textbook fashion. Instead of conveying unique experiences, these CVs often present perfectly structured sentences using advanced vocabulary, but they lack the personal touch and quirks characteristic of genuine human writing. “For instance, someone might say, ‘I managed a team of five to reduce our profit and loss by 20%,’ whereas AI-generated text could recast this as, ‘Led a dynamic team of five professionals, implementing synergistic strategies to drive a 20% reduction in profit and loss.’ The latter sounds polished but lacks the distinct human touch. If a CV feels overly scripted and impersonal, that’s a strong sign AI may have played a major role in its creation.” 2. A stark contrast between the CV and cover letter A genuine application usually carries a consistent thread. When individuals write their own documents, their personal tone, vocabulary choices, and sentence structures naturally flow across both the CV and the cover letter. When artificial intelligence is introduced into the mix, this consistency often vanishes. You might receive a highly emotive, beautifully structured cover letter packed with advanced vocabulary, only to find a dry, basic, and purely functional CV attached alongside it. This discrepancy typically occurs when a candidate uses a generative tool to draft a new letter but submits an older, manually written CV without updating its style. Hiring managers must watch for these tonal shifts. If the passionate professional described in the cover letter sounds entirely disconnected from the person listing their daily duties on the CV, there is a strong possibility that one of those documents was generated by an algorithm. 3. Americanised spelling in local applications The majority of prominent AI writing assistants are trained heavily on data originating from the United States. Unless a candidate explicitly instructs the software to utilise British English—a step many overlook—the resulting text will naturally feature American terminology and spelling conventions. Matthew explains, “If you're hiring in Oxford or elsewhere in the UK, noticing spellings like 'optimized', 'color', 'center', or 'program' in place of 'optimised', 'colour', 'centre', or 'programme' can be a subtle sign. You might also catch American turns of phrase, such as 'in the fall' instead of 'in autumn', or mentions of 'Grade Point Average (GPA)' rather than local degree results.” While some applicants may have international experience or simply favour American spellings, an application saturated with US English from someone whose entire career has been based locally is a prominent warning sign of digital assistance. 4. Ambiguous achievements without measurable context Machine learning tools excel at generating impressive-sounding statements that lack real substance. AI understands that describing someone as a "results-oriented professional" reads well, but it cannot know the intricate details of an applicant's career history unless heavily prompted. As a result, digitally generated CVs are frequently packed with broad claims that fail to provide tangible metrics. You will routinely encounter bullet points such as: "Improved departmental efficiency through strategic implementation of new protocols." "Enhanced customer satisfaction levels by fostering a culture of excellence." While these sentences appear highly professional, they reveal very little. Authentic applicants usually provide specific, factual evidence of their success, such as, "Reduced processing delays by two days by implementing Trello," or "Increased our Trustpilot rating from 3.5 to 4.8." If an application is heavy on corporate jargon but light on concrete facts, you are likely reading machine-generated text. 5. Highly repetitive phrasing and excessive em dashes Human writers naturally alternate their sentence lengths and structures to maintain reader interest, blending concise statements with more descriptive passages. Conversely, artificial intelligence tends to rely on predictable and repetitive formulas. Gillian Dolan, Regional Director at Reed, explains: “When reviewing CVs, pay close attention to whether many of the bullet points begin with the same action words, like ‘Managed’, ‘Created’, ‘Led’, or ‘Developed’. While it’s standard to use strong verbs, AI-generated documents often go too far, repeatedly relying on the same ones throughout.” "You might also notice that each paragraph begins with the same kind of transition, such as 'Furthermore,' 'Additionally,' or 'However.' When these connecting words are used in a repetitive, formulaic pattern, it often signals the presence of algorithm-generated writing." Beyond repetitive phrasing, there’s also a telltale punctuation clue. Gillian points out: “In candidate communications, and especially on CVs, you’ll often spot overuse of long dashes. AI seems to rely on these to break up complex sentences, almost as if it’s taking a shortcut to make the structure seem sophisticated. You can usually spot these a mile away.” 6. Keyword stuffing for applicant tracking systems (ATS) Many modern jobseekers understand that businesses utilise applicant tracking systems to screen incoming CVs. Generative platforms are exceptionally skilled at cramming specific keywords into documents to bypass these digital filters. If a CV reads as though it has simply mirrored your job advert word-for-word, proceed with caution. Sentences can feel highly unnatural when an applicant attempts to force phrases like "cross-functional collaboration," "stakeholder management," and "agile methodology" into a single paragraph. A candidate writing their own application will integrate their skills smoothly into their career narrative. AI, however, will often awkwardly insert these keywords at the expense of readability, aiming strictly to appease the screening algorithm. 7. The invention of skills and qualifications This is perhaps the most critical issue for employers to monitor. AI models are prone to "hallucinations"—a phenomenon where the system invents information to fill gaps when it lacks sufficient data. If a jobseeker asks an AI tool to create a CV for a senior marketing role without providing specific background details, the software may simply invent realistic-sounding projects or capabilities. Kimberly Hunsdon, Divisional Manager and specialist in engineering recruitment in Southend, shares: “More often now, CVs land on my desk boasting a wider range of qualifications than I’ve typically seen in the past. I’m also noticing references to skills that are either a bit outdated or not entirely relevant to the position, and sometimes even mentions of software that doesn’t really exist or isn’t applicable as described. For instance, there are candidates listing expertise in niche programming languages that aren’t used in the field, or claiming years of experience with a tool that’s only recently been released.” “It’s always important to double-check the details. If a project description feels vague or doesn’t quite fit with your industry, it’s worth probing further in the interview.” How should hiring managers adapt? If you suspect an applicant has heavily relied on an AI tool, it is important not to dismiss them immediately. The ability to effectively leverage new technologies can actually be a valuable asset in many modern roles. However, your primary objective remains unchanged: verifying that the candidate truly possesses the expertise required for the position. Here is how you can effectively assess candidates in an AI-driven landscape: Dive deep during the interview: If a CV feels overly broad, use the interview to demand specifics. If they claim to have 'spearheaded a strategic initiative', ask them to break down their daily actions and specific contributions to that project. Implement practical testing: Do not rely solely on the written application. Incorporate real-world assessments into your hiring process. An AI tool cannot deliver a live presentation or complete a supervised technical assessment on the candidate's behalf. Assess live communication: If strong writing is crucial for the role, have the candidate complete a short, supervised writing task. Alternatively, compare their verbal fluency during the interview against the sophisticated language used in their cover letter. Finding the best talent requires looking beyond the initial documentation. As AI continues to shape the future of work, understanding how to identify machine-generated applications will ensure you uncover the genuine potential behind the polished surface. At Reed Recruitment, our experts are highly experienced in navigating the evolving hiring landscape. If you want to secure the best talent for your organisation, get in touch with one of our local recruitment specialists today to elevate your hiring strategy.
10 MINUTE READ

How to choose between candidates

Sometimes during the recruitment process you may come across two candidates who ticks all the right boxes, but you may only have one position to fill. Trying to choose between candidates who have both impressed at the interview stage, and appear suitable on paper, can be difficult. So what exactly should you be looking for when choosing between two candidates? Experience While it may appear obvious that a candidate with more experience is more employable, sometimes two applicants will have similar levels. It is worth considering which candidate will provide more in the specific scenario of your company. One candidate may be more suited to the actual demands of the role (remember - desirable doesn't necessarily mean necessary); another may have experience in areas you may look to expand into in the future. Yet, don't write off the value of bringing in someone from an outside industry for a fresh perspective. Also ask yourself if you'd prefer a safe pair of hands – someone that can do the job already, but who may potentially get bored of it quickly; or someone who maybe has a bit less experience, but is ready for the next step up into this role. Who wants it more? Following on from this, how much the candidate wants the job is an important factor. It is important to determine whether they simply need a job or if the position you are potentially offering them is their ideal role. Someone who wants to work in your field, and for you specifically, could bring you a lasting tenure, whereas somebody looking for a stopgap position is more likely to move on when something more suitable presents itself. Chemistry It is not only a potential candidate's skill set that should be taken into account during selection, but also their softer skills. A new employee with strong interpersonal skills who easily gels with you and your team will be able to start working to the best of their abilities and operating successfully within the team more quickly than others. A candidate should be gauged on their cultural fit to the company and their fit with those they will be working with and for. Moreover, someone who is predisposed to work as an individual may not be as effective in a team that tends to work closely together. Remember – you're probably going to have to get on with them every day, so liking them is also important. Connections If choosing between two potential candidates is still proving difficult, it can be useful to look at what else they bring to the table. A candidate with a strong client base or background with already established relationships and connections that will bolster your company could help to secure contracts that you otherwise may not have won.
3 MINUTE READ

How to create a great recruitment strategy

​What is a recruitment strategy? A recruitment strategy is a clear plan that explains what roles you’ll recruit for, when, why and how. It should be tied to your overall company objectives. Your strategy must be possible to implement and easy to communicate. While you can tweak your tactics, the strategy must always be clear. The core aspects of a great recruitment strategy Growth Plans In order to scale up your workforce, you’ll need to hire – which takes time and resources. Create a measure to help you identify which areas of your business will benefit most from increased headcount. This could focus on return on investment or opportunities lost. Shortcut: Unsure how many new employees you’ll need? A recruitment agency will give you access to temporary staff and contractors to help you expand quickly and risk free. Employer Brand Make sure your employer brand and message are attractive to your target audience, particularly over social media. A well-known brand is a big selling point to talented job hunters. Be open and transparent about the company’s working culture to ensure you attract candidates that will match your business. Shortcut: If your brand isn’t well known, a recruitment agency can contact candidates directly and spend time promoting your employer messages. Skills Audit Use your company objectives to identify developing areas of the business, then decide on the skills you will need to succeed. Your recruitment strategy should include ways to find and bring new skills into the company. Employers often focus on advanced digital and technical skills, but you should also consider bringing in candidates with different experiences. Shortcut: When interviewing for a role you’ve never done yourself, your recruitment consultant can offer interview tips and support to build your confidence. "You can tweak your tactics, but your end goals must be clear." Flexibility If your company needs to adapt quickly to an unpredictable market then hiring permanent staff may not be the right option. Your strategy should include a plan for temporary staff and contractors to cover projects that are likely to change at short notice. Shortcut: Unless you already have an advanced payroll function, it makes sense to ask your recruitment agency to manage payroll for your temporary workforce. They look after tax, holiday pay and even pension contributions – saving you a lot of hassle. When to review your recruitment strategy You should always be thinking about how you differentiate your company from your competitors, and how you can be a more attractive prospect for potential candidates. Pay close attention to all aspects of the recruitment process, and make tactical tweaks throughout the year when necessary – while holding firm to your recruitment strategy. You should review your overall recruitment strategy annually to make sure it ties in with your wider business objectives. It’s important that everyone in the company understands your goals – so be clear and concise about what success looks like and how you will get there.
3 MINUTE READ