“We are not looking for consultants, we are looking for people who fit in well with us.” – Interview with Tom Ritsch, Co-Founder of AOAIO

Hi Tom, this week we’re looking at the question of why companies should even bother assessing candidates in depth if they don’t have much choice anyway. What would be your spontaneous answer to companies that think this way?

This is probably more about internal and external employer branding. Even if it seems that you can’t find suitable employees, this is exactly what you should be focusing on. Companies must always work on positioning themselves on the market for existing and potential employees. Employer marketing is the key to sustainable success here.

When it comes to the skills shortage, we see different perspectives: some say the shortage is real, while others believe that there are enough people to do the job, but the antiquated structures in companies prevent them from working efficiently. Partly because they are not working in the positions or roles that suit them. Do you share one of these perspectives or do you have your own?

The shortage is partly real, but often a good excuse. In my opinion, it’s about doing an excellent job at all levels. Yes, I also believe that there are enough suitable employees (as always, exceptions prove the rule), but recruitment is still often wrong. Companies need to learn to focus more on the personality to see whether someone fits into the company and the team. Of course, if someone needs certain skills for the job – languages, programming, finance, etc. – they have to have them. But for me, the focus is on the person and the fit. At AOAIO, for example, we are not looking for consultants, we are looking for people who fit in well with us and who I would take with me to the customer any time. You can learn a lot in our job, but empathy and social skills must be there, as well as entrepreneurial potential. So I agree with the statement that it is outdated structures that prevent us from finding suitable employees. In the first place, companies are still searching as they did 20 years ago (it’s a miracle that they don’t still advertise in newspapers) and secondly, the processes and requirements are no longer up to date.

At AOAIO, you support companies in transformation processes. What challenges do these companies share and what differences are there, perhaps with regard to different industries?

What all companies share is the great challenge of digitalization and optimization and the enormous speed that is required. In contrast to the financial industry, where the message has gotten through, industrial companies in the SME sector are struggling enormously with these changes and the necessary investments. The core problem is still that the companies are doing well, perhaps too well, and therefore do not yet see the need for change. There are often people at the top who grew up in a different era and function differently, which is very dangerous for these companies. But often the core problem is that they do not know how to proceed. Who can I trust to do what is really important and necessary? Who understands my needs and who just wants to sell me software. This is something we often struggle with, or come up against when the wrong decisions have already been made. The digitization requirements are actually the cause, because instead of looking at the topic holistically – why do we need what exactly at what point and how does this help us to become more successful (digital roadmap approach) – individual processes are backed up with new software and thus adjusted. The process is rarely considered end-to-end and the customer perspective is all too often overlooked. The result: frustrated employees, dissatisfied customers, bad investments. That’s why I love to show the basic formula of digitalization:

OP + NT = EOP → Old Processes + New Technology = Expensive Old Processes

This means in one sentence: With all the digitization hype, one must not forget that the processes have to be adapted!

As a consultant you are specialized in “human transformation” in an organizational context. From your perspective, do the organizations need to change or the people?

That’s an interesting question. First of all, it’s up to the managers. Just because you read a book about New Work during the vacations doesn’t mean the organization will change. Organizational development has become a core issue and this includes taking people with you, involving them and giving them more responsibility. However, this does not happen overnight, it is a process. It always starts with self-reflection. So the answer is: everyone has to change and be prepared to do so.

How do organizations find the people who are right for them?

To do this, organizations first need to know who they are. What is the culture of the organization, what values are being lived and what makes it special? It is essential to reflect on the company. Just because values are written somewhere on the wall does not mean that they are actually being practiced. A cultural analysis or simply a suitable employee survey helps enormously. If it is clear what makes you tick you can look for suitable people on the market and place your messages in line with the target groups. Of course, for larger companies this can mean having several structures and approaching the market with a variety of approaches in order to position themselves. I address construction workers differently than HR employees.

Looking at the younger generation: How have career requirements changed and how can companies adapt to this?

I don’t quite know if I’m the right person to answer that. There are specialized companies set up by young people to answer these questions for established companies. I personally believe that it has changed massively and will continue to do so. I think it will move more towards a hire-on-demand-concept, which will make the human fit even more important. Project teams will be organized like you select the right players for a specific task in team sports. Careers are becoming less and less relevant and companies have to develop such New Work concepts. It’s not about a nice workplace with table football and a juice bar. It’s about concepts that are contemporary and meet all needs. But here, too, the first step is self-reflection: What does the company need in order to be successful? It always comes down to these three central questions:

What role does AI technology currently play in transformation processes and what role do you think it will play in the future?

A huge role! However, companies must first learn to understand what this hype is all about and where the benefits are significant. We successfully use Zortify’s AI based tools in our projects because we put people at the center of things and not simply rely on a self-assessment based on the Big 5. Those days are definitely over. Let’s use AI where it makes sense. It’s not so much about finding out who is right and who is wrong, it’s about helping people to improve.

You have just mentioned that you and your colleagues use Zortify’s employee diagnostics for your consulting. Can you give some examples of how you work with it? Perhaps you even have an anecdote about what you were able to recognize or achieve with the help of AI?

At the beginning of our transformation processes (SharedWhy), we primarily rely on Zortify GROW. This gives us very good insights into the teams and provides us with a perfect basis for reflection. We also often use iHPT (instant High Performance teamingg) in various areas. The central issue here is the perfect composition of teams. We work very closely with Zortify on this topic in order to develop it further as we believe there is enormous potential there. Especially with the iHPT process we are always amazed at how easy it is to get management to really think about it. These reports trigger excellent discussions, which often circle around the impact and role in the team. Suddenly questions arise such as:

Thank you so much for the insights. We have one last question for you: In the past you have founded a start-up in the sports sector. Imagine you’re standing on the sidelines of the field cheering for a prototypical SME in the “game for the future” – what do you shout to them?

That’s a bit difficult in the sport I’m involved in. First of all, there’s no sideline in golf and shouting isn’t really the issue. 🙂 Joking aside. I do the same as I do with the players I still coach and often use these metaphors in the business world:

Thank you for the interview, Tom. 

For more information about Tom and his work at AOAIO check out their website or follow Tom on LinkedIn.  

“We run this company on questions, not answers.” This sentence comes from Eric Schmidt, Google’s former CEO. It makes it clear which characteristic the company values most in new employees: Curiosity. The recruiting strategy is correspondingly consistent: when the company was looking for engineers, it published a huge billboard with a riddle. Anyone who solved it ended up on a website and thus in the selection process of Google’s HR department. And that’s regardless of the puzzle solver’s formal qualifications for the open position.

Is curiosity the super skill?

Curiosity is not actually a skill, but a tendency towards certain behaviors. Curious people embrace the unknown, have the courage to try things out and enjoy taking the first steps on a new path. Our research shows that this is closely linked to characteristics that are attributed to a person’s “entrepreneurial capital”, such as the “agility mindset” personality trait. People with a strong agility mindset approach the challenges of a fast-paced world with a strong creative drive. And see themselves as capable and willing to influence the developments around them. This characteristic can be trained, as you will see in the second part of the article.

With this in mind, curious personalities can be a huge asset to companies. After all, our environment and the conditions under which organizations have to operate have been changing at an ever-increasing pace for years. People who have a natural curiosity are usually better able to deal with these changes and are more open to new situations and insights. Even for those that contradict their previous beliefs. There is unlikely to be a “We’ve always done it this way” with them in the team.

Instead, they constantly question the status quo. Like to explore new ways of overcoming challenges. And are not so quick to settle for the first solution that comes along. Their strong interest in new things also relates to other people, which tends to make them good team players. Even in very heterogeneous constellations. Anyone focusing on diversity when recruiting is therefore well advised to look at how well developed characteristics associated with curiosity are in candidates.

Mister & Miss T

Because these often go hand in hand with other valuable character traits and skills. The so-called “T-Shaped Employee” is the jackpot among employees. On the vertical axis, the stem of the T so to speak, he or she brings in-depth skills in at least one area, for example in marketing or finance. The horizontal bar of the T stands for overarching characteristics and soft skills. People with a keen interest in new things, for example, also tend to have a great capacity for empathy and the ability to collaborate. While expert knowledge can be read off the resume from the stem, other measurement methods are needed for the horizontal axis.

In the past, these were mainly costly assessment centers in which attempts were made to find out what makes candidates tick using fairly straightforward personality tests. Thanks to AI technology, there are now more sophisticated methods that use natural language analysis to measure character traits. Subtle and unbiased.

Putting the brakes on curiosity – here’s how

Although curiosity plays an important role in meeting new challenges, it is not yet sufficiently valued and encouraged in companies. The practice of trying to solve problems of the present and future with resources from the past instead of courageously asking the right questions persists. In a 2021 SAS study, one in five German managers rated curiosity as an unimportant trait for company performance.
(five percent more than the international average)

This result leads directly to one of the biggest obstacles to more curiosity in the company: The way performance or success is measured. KPIs that are too tough not only cause unhealthy stress among employees, but also put the brakes on their curiosity. Those who have neither the time nor the energy to ask themselves questions simply carry on as before. Regardless of whether it makes sense or not. Two points speak against this way of working:

Instead of measuring success solely in terms of performance and KPIs, companies can focus more on learning goals:

Learning to think small

In my opinion, the learning organization is the model with the best prospects for the future. And curiosity is an essential part of future competence in organizations. This is based on the insight that we cannot plan the future. Models and strategies that try to predict what the company will need in five years’ time are outdated. Instead, companies need to strengthen the self-efficacy of their employees and learn to trust in the process.

“Instead of thinking big once, it’s about thinking small very often in order to achieve great things,” writes Martin Wiens in Neue Narrative magazine (issue #3). Among other things, he refers to management researcher Jim Collins, who investigated what particularly successful entrepreneurs do differently to others. One key factor: they are curious. He calls it “paranoid in a productive way”. In other words, they constantly engage with their environment, the market and their organization. Even and especially when things are going well. At the same time, they encourage their employees to keep their eyes and ears open, ask themselves critical questions and become effective in the best interests of the organization.

Training curiosity

“I have no special talent, I am just passionately curious,” said Albert Einstein. – The good news is that everyone is born with a minimum level of curiosity. Otherwise we would not have learned to speak or walk. It is usually the structures in which we operate. From nursery school to the company office – that allow this valuable quality to wither away. It is up to managers to restore it. For example, with these three simple workhacks:

#1 The customer chair

In physical meetings, this is a chair at the meeting table that is left empty to remind participants to always think from the customer’s perspective:

What would our customer say about this if he or she were in the room?

What would he or she think of the idea?

And, what impact would our decision have on the customer?

In virtual meetings, a team member can slip into the customer role and actively answer the above questions from the customer’s perspective. To make the role visible to everyone, the colleague can wear a hat or a large sign with the customer’s name, for example.

#2 The learning journey

… consists of a single question from HR or managers to employees: Imagine we give you three tickets for your personal learning journey. With these three tickets you have access to everything (e.g. countries, companies, the Chancellor’s office, NASA, prominent role models, a farm in the hinterland, …). Where would you stop along the way to learn something or to look behind the scenes (simply out of curiosity)?

The answer can be short and concise and does not have to be justified. While some stops on the learning journey directly indicate specific interests, others form a basis for engaging in conversation with employees and getting to know the other person better.

#3 Slack Time

Slack time is a fixed period of time each month during which employees can work on or try out their own ideas. This time can be made available to either one department or the entire company. The only requirement is that the project is related to the company’s goal. Employees briefly present what they have been working on at regular intervals. A message board can serve as an additional tool on which colleagues can note which projects they (would like to) work on so that teams can find each other in a self-organized manner. Slack Time helps to find useful product ideas and solutions to organizational problems for which there is sometimes no time in everyday work.

Companies do not need to have ready-made answers to climate change, demographics, dealing with global conflicts, skill gaps, GenZ, GenAlpha and the AI revolution in order to manage change and, at best, help shape it. But they should start asking themselves the right questions and allow themselves to be as curious as ever.

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Personality first – this is one of the most important trends in dealing with talent.

Why? 

The so-called “hard” skills that companies need are changing faster than ever before. Today’s expert skills will be yesterday’s news tomorrow. What remains are the supposedly “soft” skills and people’s personalities. The better companies know their employees, the better they can assess who they should invest in in terms of professional and personal development.

Bye Bye Bachelor

But an engineer still needs to be familiar with physical principles; an architect needs to know material features, how to use drawing programs and what regulations to take into account. – That is true. Expert knowledge is essential in some professions. For many jobs, however, a different trend has been emerging for a long time. While German HR departments cling surprisingly persistently to university degrees in their job postings, companies in other countries have long since abandoned them. According to a study published in the Harvard Business Review in 2022, US companies reduced the requirement for a university degree by 31 percent when advertising positions with a high level of qualifications, including management positions.

The British branches of Ernst & Young announced ten years ago that a university degree would be completely removed from the job profile. This is in line with numerous studies that were recently listed in a very interesting article on t3n. It clearly shows that soft skills will be much more important in the future. And that goes for engineers and architects too, by the way. After all, they are also involved in an increasingly complex environment that is subject to constant change. And in project work that is carried out by multidisciplinary teams. And in companies that are under increasing pressure to transform their structures from the ground up while day-to-day business must continue.

Transformation needs personality

These companies (and sooner or later it will affect almost all businesses) need employees who are willing to develop with them. It is becoming increasingly important to entrust people with the right role in the company at the right time, in which they can access and contribute their full potential. Certain character traits are even more important in that regard than professional qualifications or a formal degree.

Why?

Because transformation means that the traditional hierarchy is increasingly dissolving. And with it the logic of the commander and the recipient of orders. This leads to consequences:

1. Without top-down instructions, interaction between employees who are on the same organizational level becomes the most important steering element in companies. In the book “The Humanization of the Organization”, the authors write in this context: “This brings with it all kinds of annoyances – self-promotion, refusal to make a statement due to stage fright, tactful agreement to nonsense, (…). Anyone who frequently has to endure fruitless meetings that largely serve the self-promotional needs of some of the participants (…) knows the problem.”

2. In structures where individuals have more responsibility and cannot refer to their superiors every time they have a dispute with a colleague, the ability to deal with conflict and self-control are essential. The ability to win others over and mediate between subjective realities takes the place of punishment and reward or right and wrong.

3. Having the freedom to shape things in your own way also means making decisions under uncertainty. This requires a stable personality and at the same time the right instinct for situations and the ability to get the right people on board.

The best basis for coping with these new conditions are employees who have certain personality traits (or: who do not have them – see excessive tendency towards self-promotion) and with them certain soft skills at a high level. At the very least, however, personality is a good starting point for acquiring these skills. Sebastian Klein writes in the magazine Neue Narrative (issue #19): “People who resist any kind of personal development and reject personal responsibility cannot play a leading role in an organization that is fundamentally changing its operating system.”

More automation – more soft skills

An operating system that must change not only in view of the demands of a new generation of employees, but also in view of increasing automation. Many jobs will change, moving away from purely mechanical activities towards mediating, translating and explaining work at the interface of machines and interdisciplinary teams. Personality and soft skills will be the decisive factors in workforce planning and in the design of individual learning and development programs.

So which character traits are the most important? Which soft skills will be even more important in the future? – There are various rankings on this, such as LinkedIn’s Top Skills 2024, which also clearly shows that the supposedly soft factors are gaining in importance.

The “Inner Development Goals” framework is also worth a look. This has derived various dimensions from the question of how we can create a sustainable and liveable future and assigned the essential skills and attitudes to them.

If you put the various rankings and frameworks side by side, including the models we use at Zortify to analyse the personality of employees and applicants, a very clear picture emerges of where the journey is heading, even if individual nuances will vary from organization to organization.

Our top 3 personality traits…

… and the corresponding soft skills are:

1. High level of open-mindedness
People with a high degree of openness are generally curious, tend to question the status quo and enjoy exploring new ideas and opportunities.
Corresponding soft skills: listening, exploring new topics, taking initiative

2. Moderate agreeableness combined with moderate competitiveness
Individuals obtaining moderate scores on the Agreeableness – Competitiveness scale oscillate between yielding and adapting to other people’s needs but also remaining firm in their own beliefs and points of view. 
Corresponding soft skills: empathy, listening, communication 

3. High adaptability (agility mindset)
Agility Mindset is a personality dimension developed by Zortify. A high level is characterized by dynamism and flexibility as well as the strong will to shape and initiate the omnipresent change.
Corresponding soft skills: creativity, resilience, ability to prioritize

These skills already made the difference between good and outstanding companies in the past. Today they are simply essential. And they will continue to be a must for organizations tomorrow and the day after tomorrow. They are the qualities and skills that can never be fully automated. At the same time, new technology can be the key to finding them with little effort and without bias in candidates and existing employees.

“It is not the strongest or most intelligent who will survive but those who can best manage change.” 
(Charles Darwin)

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The new generation of employees is neither lazy nor inherently less well educated than previous generations. Even if they are repeatedly accused of being so. Rather, they were born into a world that is becoming more complex and confusing with each year. A world in which static knowledge is becoming less important. And they are constantly challenged to acquire new information and new skills for themselves. DIY in a continuous loop. Against this backdrop, GenZers take a skeptical view of what has long been considered normal and desirable: a job for life, for example, or climbing the traditional career ladder. 

Left and right is the new up

Today, many young employees appreciate flat hierarchies and an open environment in which “upwards” is only one of many possible directions. Rather than being above others, it is much more important for them to be connected with their colleagues. To work on eye-level towards a common goal with the support of competent and empathetic leaders. And to develop individually in the process. These are the key factors for employee retention. 

A study from the US came to the conclusion that employees who are promoted horizontally or professionally within the first three years in the company, for example (temporarily) taking on a new role with greater responsibility in another department or leading a new project, are 62% more likely to stay with the company. With a “vertical” career move, such as a promotion to a management level, the figure is only slightly higher (70%). Without the opportunity to try out other areas of responsibility outside of the routine, however, the probability of talent staying falls to less than 50%.

Young high potentials in particular are being headhunted and tend to be more willing to change jobs than older employees. What can a company offer to counter the growing “market of opportunities” from outside? – A diverse internal market of opportunities, for example, that allows employees to constantly realign their work, reinvent themselves, try things out, take on new roles, take on more responsibility – and all within the organization in which they are already active and rooted. This is not wishful thinking, but now a clear expectation of GenZ: according to Deloitte (2021), 70% of GenZ employees expect their employer to help them achieve their personal and professional goals.

The transparent generation?

In return, employees who want to develop further are the best thing that can happen to a company. It is important to find the “sweet zone” where the goals of the company and the many individual purposes and personalities of the employees overlap. The more precisely organizations design their Learning & Development programmes, the better it is for them. After all, employees who thrive in their new role are the key to companies being productive and innovative.

AI technology can provide valuable support in growing alongside each other. Especially with regard to employees of a generation that is used to using digital technologies and generating data about themselves. From mindfulness apps to fitness trackers, many young people naturally use data-based tools to better understand themselves. And navigate through a world that demands a lot from them. So it’s only logical that their employer should also use smart technology to help them find their place in the organization – and do so continuously.

AI-based personality diagnostics can help GenZ:

Strengthening strengths 

Instead of working on deficits, companies should focus on the potential of their employees. Further development based on the principle of “strengthening strengths” is not only more rewarding. But also saves time and money and increases the chances of employees fulfilling their role well. The AI-based personality analysis can help to find out which basic character traits qualify employees for certain roles in the organization. And in which areas they can still work on themselves in order to be capable of performing a task in all its facets. 

Personality first, skills second

Studies on requirements in job advertisements also show that the focus on personality and the associated strengths is becoming more important. According to the study, “frustration tolerance” was mentioned 71 percent more frequently in job advertisements in 2021 than in 2018. Empathy was requested 39 percent more frequently. At the same time, the need for existing language skills, among other things, fell by almost a quarter.

Personality first – this means that AI-based personality diagnostics are also gaining massively in importance. This is because it enables companies to reliably measure the key characteristics of (potential) employees.

The benefits of AI-based personality analysis:

And it works particularly well for GenZ employees. That is because: 

And: they are hard-working. Just in a different way 😉

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How much “humanity” is good for organizations would be answered very differently by people from different philosophies. On the one hand, there are those who say that we can only do good work if we are allowed to be ourselves in a professional context. With the full range of our characteristics, feelings and needs. This view has become very popular with the New Work movement. In his book “Reinventing Organizations”, Frederic Laloux talks about the principle of “wholeness”: we can only do good work if we can be ourselves and don’t have to spend energy on wearing a professional mask.

Many of the things we see in organizations today are based on this way of thinking. The dress code has been abolished in many industries. Employees bring their dogs to work and, especially in young companies, it is no longer a stigma to cry or talk about fears in the work environment.

At the same time, there are many voices (and my perception is that they are becoming increasingly louder) that say it is important to differentiate between people and members of an organization. In this context, the authors of the book “The Humanization of the Organization” speak of a necessary “barrier” between people and companies that protects both sides. As long as the individual character traits and needs of a person do not clash with the manners and behavior associated with a role in the company, they are none of the employer’s business. In this context, the authors speak of “role expectations”.

The bright side of power  

These role expectations raise questions in the face of a fundamentally changing world of work. Examples include the following:

One thing is clear: the values of the next generation and therefore also the expectations of how people work together in companies often differ from those of the baby boomer generation. Whose representatives still hold many important positions in organizations. Especially when it comes to leadership behavior, the ideas diverge.

For a long time, character traits that we would describe as toxic today were beneficial for climbing the corporate ladder. Above-average manifestations of counterproductive behavioral tendencies (self-centeredness, impulsive, strategic manipulation) are still strongly represented among managers today. This is increasingly becoming a problem for companies. Young employees in particular expect their managers not only to set goals and make decisions. But also to motivate, listen and respond empathetically to their needs. According to a LinkedIn study, 41% of employees with up to two years’ work experience would like managers to show more empathy. Among trainees and students, the figure is as high as 60 percent.

More than four colors

However, such soft factors are difficult to read from a CV or documented performance. This is where modern measurement methods based on AI offer new possibilities. AI systems can help HR managers to develop an in-depth understanding of employees’ individual strengths and development potential. Technology makes it possible to take a nuanced look at people and not make hasty judgments. This is important because it should be clear to every HR manager by now that human personality cannot be broken down into four color types. At the same time, the many nuances cannot be captured by an interview or coaching session alone. Especially as all those involved are not free from bias. AI can set new standards here and shine a light on characteristics that have often been overlooked. But are essential for the functioning of an organization.

What does AI measure?

There are different AI models that target different spheres of personality. The goal behind the use of AI systems for HR is basically always the same:

In the area of “Learning & Development”, the focus is on characteristics that are accessible for further development. It is important to emphasize that the aim is not to “turn people around” so that they fit into the organization. This is neither possible nor desirable. Rather, the aim is to use the insights gained with the help of AI to strengthen employees so that they can grow in their professional role. For example, the finance colleague who tends to be overly pessimistic learns to consciously adopt a different perspective. Or the HR colleague learns how to be empathetic. Coaching, mentoring and other formats make this possible.

Outlook

There are different views on how much humanity is good for an organization. Whichever perspective you follow, the key ultimately is whether a person’s behavior and the expectations of the role they perform match. It is less important whether it is authentic behavior or a “professional mask” that employees put on at the office door. What is more important is that their actions are rooted in character traits that consider good and productive cooperation to be desirable for the benefit of the organization and its members.

Behavioral expectations and thus also desirable traits are subject to change. To which companies must respond if they want to attract and retain employees of the new generation. The latest AI models make these character traits, which are essential for the functioning of an organization, measurable and presentable. The technology thus enables both each individual employee and the organization as a whole to develop in the best possible way and shape a desirable future.

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The use of AI systems will revolutionize the HR sector. Not using AI is no longer an option. It is now a matter of developing the necessary skills to be able to use the technology in a targeted manner. HR professionals need to start equipping themselves with the knowledge they need to use AI tools effectively while retaining the invaluable human judgment that machines cannot replace. 

The good news is that HR professionals won’t need to be able to understand complex statistical formulas or code in the future. Rather, it’s about understanding HR metrics and being able to interpret data visualizations, including modern dashboards powered by AI. This fundamental understanding enables HR professionals to gain data-driven insights to solve real-world problems.

What will be better with AI

Research shows that only a small percentage of HR professionals have advanced AI skills. However, those who do use AI and data analytics report positive effects in recruiting, employee engagement and decision-making processes. 

According to a study by Gartner, 76% of HR leaders believe that if their organization does not implement AI solutions in the next 12 to 24 months, it will lag behind those that do in terms of business success.

HR professionals need a basic understanding of how AI works, what the technology can and cannot do. They should focus on what benefits the technology can bring them and what specific use cases there are. In doing so, they should always keep the company’s goals in mind. What can they do better, faster and more cost-effectively with the help of AI in order to achieve these goals?

HR as change management 

The introduction of AI in the HR department inevitably leads to changes in processes and possibly roles. Sometimes it is enough to integrate an AI tool into a workflow and thereby achieve an immediate benefit. Often, however, it is not that simple and a rethink and reengineering of the entire process is required. This shift requires a deep understanding of where human capabilities complement AI and add value to human judgment, data collection and actions.

After all, humans will remain irreplaceable in the future. AI tools have been developed to improve human skills and can be useful in delegating tasks. Technology will be omnipresent in most activities, rather than replacing them entirely. AI systems can often make better, faster and cheaper predictions than humans. However, a prediction is not a decision, it is merely a component. The real value lies in human judgment – the ability to interpret predictions, consider ethical implications and make decisions that machines cannot. HR professionals must address ethical dilemmas, privacy concerns and the need for a continuous learning and adaptation process. 

The better HR managers understand the basic workings of AI systems, the better they will be able to argue in favor of their use. The extended basic understanding includes the following aspects:

In the future, another core competence will be not only mastering AI-related changes to tasks and processes, but also communicating them to the workforce, addressing resistance and offering training. 

Data storytelling will become more important at the decision-making level in companies. HR professionals who have mastered it can influence decision-makers by presenting data-driven insights in a convincing narrative, for example to push through additional budgets for recruiting and HR marketing. 

HR remains human

Despite the technical nature of AI, its primary goal in HR is to improve the human work experience and performance. HR professionals should therefore always take a human-centered approach when implementing new tools. At its core, it should be about understanding the needs and behaviors of employees and developing AI solutions that improve their work lives while making the organization as a whole more productive and successful. Skills in methods such as design thinking can be helpful here.

Staying agile

The future of HR work lies in combining the best of AI and human knowledge. Once HR leaders better understand what the technology can do, they can assess the potential use cases and benefits and harness the power of technology to improve their work. At the same time, they can ensure that human judgment remains at the heart of HR decision making. A balance between AI and humans is critical to creating efficient, equitable and human-centered HR practices that can continually adapt to a changing world of work.

✅ AI Literacy at a glance:

👩‍🎓 Get certified now.

For recruiters, freelance coaches and consultants looking for a comprehensive AI toolkit, Zortify offers a certification program. This opens the door to a world of assessments that measure not only the traditional personality traits, but also the but also the counterproductive behavioral tendencies, and malleable psychological states crucial for professional and personal success.

The next certification dates:

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Expensive assessments, even more expensive bad hires

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According to a study by Glassdoor, companies experience an increase in applications in January, while at the same time employee turnover goes up. For HR, this means juggling between recruiting new talent, conducting appreciative offboarding and keeping the existing workforce happy, often with limited budgets. If a position is then filled with the wrong person, things can quickly become tight. As most companies probably don’t have an extra “bad hire budget”, they should do everything they can to avoid bad hires. More and more companies are using AI systems to replace expensive and inefficient methods such as assessment and development centers. AI-based employee diagnostics supports HR in doing the best possible job – and sets new standards in personnel development at the same time.

Customized HR work: cheaper than ever before thanks to AI

Understanding and using AI systems costs money at first, of course. But this is money well spent. With the help of artificial intelligence, HR is much more likely to fill open positions with the right people and the investment in onboarding and employee development will pay off in the long term.

How is this possible?

Technological change is making affordable what until recently was expensive: making accurate predictions about who will fit a job and who will not. The more sophisticated the technology becomes, the better HR experts can do their job.

Above all, however, they make assessment and development centers obsolete. These involve an average of five days’ work for several HR managers and often cost tens of thousands of euros. At the same time, the many bad hires and the growing willingness to change jobs in the workforce show that they do not bring the desired outcome. AI systems can change the system. Within minutes, they analyze the information that HR needs to pre-select candidates and reduce the risk of a “bad hire”.

How to avoid the recruiting of toxic coworkers

In order to support the final decision, AI systems can analyze not only the personality profiles of applicants but also their potential fit with regard to their future role in the team. A Harvard study shows just how important this is. According to this study, a top performer with toxic behavioral traits has a worse impact on the overall performance of the company than several employees who only perform at an average level but work well as a team.

Anyone who thinks of the obvious bully when they hear the term “toxic worker” is mistaken. Toxic employees act cleverly and often poison the atmosphere in subtle ways. To avoid this, HR managers need to be able to identify personality traits in advance (i.e. before recruitment) that are not apparent from a CV or assessment center. Using this data, they can identify likely patterns of behaviour and predict how they might affect the performance of the team and the organization as a whole

In view of the increasingly complex field of HR tasks and the limits of the human ability to analyze, it was until now impossible to meet this expectation. With the rise of AI systems, this is changing. Data-supported personality analysis will very likely quickly become the new standard in employee recruitment and development and give companies more security in uncertain times.

Minimizing risk with AI

Speaking of uncertainty: in its latest issue, the “brandeins” magazine comes to the conclusion that the slow pace of digitalization in every fourth German company is due to a lack of willingness to take risks. AI can also spark a shift in thinking here: By accelerating processes and securing decisions based on data, companies can act more courageously and flexibly.

These impressive figures are a signal to risk-averse companies to invest in their digitalization even more, as new technologies can significantly reduce risks in important areas of corporate management, such as HR work.

Conclusion

Assuming you don’t have an endless “bad hire budget”, dare to invest in AI. Start low-threshold, for example with SaaS and platform solutions. Because one thing is clear: external risks will not become less in the foreseeable future, but they will be much easier to manage with AI. Companies can use AI-supported risk management and explore new fields with the help of data. The best insurance they have is the right employees who share their goals, values and culture. 

Sources:

– Why Wallet Wellness Should Be HR’s Top Priority in 2024 and How Employers Can Stretch Employee Paychecks

– Thriving in an age of continuous reinvention

– Measure Workforce Resilience for Better Business Outcomes

– The real cost of employee turnover and what you can do about it

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1. Chief Talent Interpreter (CTI)

The Chief Talent Interpreter can read between the lines of CVs and questionnaires and recognize what remains hidden to others even on the second and third screen. He is a kind of crystal ball on two legs. And the results of its work are nothing short of magical.

After all, CVs and self-assessments provide HR with an initial impression of candidates and their suitability for certain positions. But far too often, it’s only when they start the job that it becomes clear what makes the person behind the written word tick, whether they can fulfill their new role and fit into the team. If this is not the case, things can get uncomfortable. In any case, it will be expensive (been there, done that 🙄). The Chief Talent Interpreter knows how to prevent this.

🎮 Colleague AI: The technological crystal ball is based on Natural Language Processing (NLP) and can interpret nuances in written responses. With its support, HR managers can identify the characteristics in a candidate’s personality profile that are important for a role and assess whether a person will fit into the corporate culture. It therefore replaces CV analysis as well as time-consuming assessment and development centers.

2. Employee Wellbeing Analyst

He not only reads what you write, but also understands what you actually want to say. He decodes hidden messages and calls for help that are hidden subtly and unnoticed by readers in written communication. High-frequency nuances in emails or interviews are picked up by his highly sensitive antennae. This enables him to speak directly to the employees concerned and find out what they need, or give the manager a confident hint that a conversation would be useful.

🎮 Colleague AI: (Our) AI systems can already read psychological dimensions from written everyday communication. Meanwhile, researchers are continuing to work on training AI in emotional intelligence (EQ). This will enable AI systems to analyze human emotions and their impact on decisions in the future. Chatbots and virtual assistants will be able to recognize emotional nuances in communication and react to them, for example in employee interviews. Good for HR: AI-controlled tools will soon be able to offer them individual training and coaching programs to train their EQ.

3. Team Dynamics Engineer

This fantastic new colleague helps individual employees to understand themselves better and also promotes effective collaboration in teams. She can predict whether the chemistry between potential team colleagues will be right based on individual psychological profiles. After all, she knows that good teamwork depends not only on skills and tools, but also on the psychological preferences of the individual team members. Therefore, even after the team has started work, she tirelessly ensures that everyone has their own safe space to express themselves freely. She always keeps an eye on how the team is currently working together and where improvements are needed.  

🎮 Colleague AI: …can already use NLP to analyze employee profiles in order to form teams that not only complement each other professionally, but are also psychologically compatible. Our “High-Performance Teams” AI, for example, divides work into six basic roles. This helps employees to assess for themselves how they can and want to work. Also which role they should therefore take on in the team.

4. Customized Development Pathfinder

The “design and deliver” principle, whereby career options are set out once in the company and then never touched again. Has long since been overtaken by reality. In this reality, we have self-confident employees who want to decide for themselves when and in which direction they want to develop. At their own pace and according to their individual goals. The Customized Development Pathfinder supports them in this. He knows what each individual is good at and also gives a nudge forward when employees fall short of their potential.

🎮 Colleague AI: … also knows exactly what knowledge and skills lie dormant in the workforce. It uses psychological analyses of employees’ needs and aspirations to create personal development plans. Our zortifyGROW AI, for example, measures stable personality traits and adaptable personality states and links them to professional development. It uses a unique combination of the “Big Five Personality Traits” model, the “Entrepreneurial Capital Personality” model and the “Counterproductive Behavioral Tendencies” model. Nerdy by nature – and very accurate. 🤓

5. Chief Asshole Detector

The colleague with the swear word in his title is actually an extremely sensitive soul. He senses vibrations as soon as a person enters the room and reads precisely between the lines. He is not impressed by fancy titles and CVs; he has X-ray vision, looks behind the façade and analyzes with a cool head whether someone could damage the heart of the organization. With the right decision, he can prevent bad hires and save the company from high costs and a negative vibe among the workforce.

🎮 Colleague AI: … truly cannot be accused of being guided by sympathies and bad previous experiences when evaluating a person. It unemotionally analyzes the spoken and written word. Based on the results, it shows whether an applicant has narcissistic traits that could severely disrupt the company and poison the culture. AI can already see what humans cannot detect even on second glance. And would have reliably spared the national economy the 14 percent of narcissists in management roles.

What’s to come

2023 was a super exciting year for companies and for HR in particular. Artificial intelligence has opened up many new opportunities to place the right people in the right positions at the right time. In the end, that’s what makes HR work so valuable and also so fulfilling, isn’t it? And the development is continuing at a rapid pace. The tasks of all the dream colleagues described above can already be performed by just one AI.

What does this mean for other, non-fictional jobs? Will human labor become largely obsolete in the future? – Certainly for certain tasks. At the same time, there will be many new tasks that will require human and machine intelligence working side by side to achieve the best results. In 2024, companies will be all the more challenged to find the right balance between the two. And for those organizations that have not yet had any contact with AI, it’s time to get to grips with the topic and get started step by step. We have described how this can be done in another post.

We hope that you can spend a lot of time with the people who are good for you in the new year. Both in your private life and at work. Thanks to AI technology, the chances of this are good.

With this in mind: Happy 2024!

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No AI is not a solution either

The first step, however, is to overcome general fears of AI. This can be achieved by consciously questioning and adapting our own mindset. Companies can accept that they do not yet understand everything. They can allow themselves to learn and try out new things. It also helps to realize that they are probably already using AI as a matter of fact without even realizing it – see the following illustration:

These examples also show that organizations do not have to immediately purchase a large, complex software package costing several million euros. Instead, they can start small and proceed step by step. In that way, they can gradually open up areas in which AI systems can bring them measurable improvements. In the Bitkom study mentioned above, for example, more than half of the companies using Artificial Intelligence highlighted the reduction of human error as one of the greatest benefits, followed by the acceleration of processes.

Improving HR work with AI

Especially in HR, AI systems can make work easier and bring benefits for both HR experts and employees. The following areas of application are already showing good results:

1. AI diagnostics: personality tests and skills analyses to gain deeper insights into employees’ strengths and development potential.

2. Employee development: AI-supported learning and development programs that are individually tailored to employees’ needs and career goals.

3. Recruitment: tailored job advertisements, talent acquisition, including automated CV analysis and pre-selection of suitable candidates.

4. Process automation: time tracking, leave management and onboarding.

5. Performance assessment.

6. Employee engagement and satisfaction: AI analysis of employee feedback and sentiment to identify trends and proactively address needs.

7. Diversity management: AI-supported analyses to promote diversity and inclusion in the company.

Ask the right questions* in advance (*here they come)

To get started in your company, you should first ask yourself which of the areas mentioned above would benefit most from AI. What specific challenges in diagnostics, employee development, recruitment and other HR processes do you want to address? Define specific, measurable goals that you want to achieve with the help of AI.

In the next step, look for possible providers. Ask yourselves: What experience and references do the various AI providers have specifically in the HR context? And: How do the functions of the AI tools on offer cover our specific HR requirements?

After a pre-selection, look at the details

Then focus once again on your resources, goals and values. Weigh up the costs and benefits: what return on investment can you expect from using the AI tools? Ethical questions should also be discussed at this point at the latest: How do you ensure that the AI solutions comply with ethical standards and make decisions free from bias? – Many providers of AI systems have dealt intensively with the legal and ethical framework conditions in recent years and can provide support here.

Address resistance within the workforce and create a shared understanding of how Artificial Intelligence can be used in the company and where the (current) boundaries lie. At the same time, you can contribute to a better understanding of the technology and reduce fears with further training programs. (Spoiler: zortify also offers coaching on AI. 🤓) Give employees the freedom they need and encourage them to learn more about AI on their own. And finally: start small – with pilot projects and hands-on tools that don’t require time-consuming implementation and allow you to exit at any time. Start with one aspect of HR work, learn from the experience and then gradually expand the application as the technology benefits you.

Conclusion

The sudden rise and rapid development of Artificial Intelligence has overwhelmed many companies. But as with all new technologies, it’s perfectly okay not to be one of the first, the early adopters. But it is not good to permanently turn a blind eye to new developments and opportunities. Especially not if they benefit the company and the people who put their skills and time at the service of the organization. Find out what AI can do for you in specific terms. Try things out, reflect, adapt and, as in other areas of life, trust your common sense. It will be a good compass for you when dealing with AI and navigate you through the fascinating possibilities that new technology offers.

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As businesses become more customer-centric, understanding customer needs and wants is becoming increasingly important. Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that is revolutionizing the way businesses interact with their customers. By analyzing language data, NLP enables businesses to gain a deeper understanding of their customers, improve communication, and automate processes.

Here are some ways that NLP is transforming customer service, marketing, sales, and even the workplace:

Improving Customer Service Interactions

NLP is being used to analyze customer feedback and interactions to improve the overall customer experience. By analyzing customer feedback in real time, businesses can identify common pain points and issues and address them promptly. NLP can also be used to automate customer service interactions through chatbots and virtual assistants, reducing wait times and providing 24/7 support.

Automating Marketing and Sales Processes

NLP is being used to automate marketing and sales processes, allowing businesses to personalize their messaging and improve customer engagement. By analyzing customer interactions and (meta)data, AI and NLP can generate personalized recommendations and product suggestions. This level of personalization can improve customer retention and loyalty, and increase revenue.

Gaining Insights from Unstructured Data

NLP is also being used to analyze unstructured data, such as social media comments and reviews, to gain insights into customer sentiment and preferences. By analyzing this data, businesses can gain a deeper understanding of their customers and adjust their marketing and sales strategies accordingly.

Challenges and Considerations

While NLP has many benefits for businesses, there are also challenges and considerations to be aware of. For example, NLP algorithms can be biased, reflecting the biases of their creators and the data they are trained on. This can result in unfair or discriminatory outcomes. Additionally, NLP may not always accurately capture the nuances of human language, leading to errors or misunderstandings.

NLP in business

At Zortify, we believe that natural language processing (NLP) is a critical tool in driving better decision-making through artificial intelligence. That’s why we’ve built our company around NLP and its applications in human experience management (HXM).

Our Zortify products are based on the latest research and practical expertise in Data & Computer Science, NLP, Visual Computing, Psychology, and People Analytics. We believe that this multidisciplinary approach is key to developing usable and explainable AI solutions that truly make a difference.

One of our primary applications of NLP is in making active listening scalable for organizations across Europe. Our technology enables individuals to express themselves in their own words, whether it’s for personnel selection, customer/employee feedback, or analyzing an entire organization’s culture. By leveraging NLP, we can capture and understand the nuances of human language in a way that wasn’t previously possible.

Conclusion

NLP is transforming the way businesses interact with their customers, enabling them to gain a deeper understanding of customer needs and wants, improve communication, and automate processes. As with any technology, there are considerations and challenges to be aware of. However, by using NLP responsibly and ethically, businesses can improve the overall customer experience and drive growth.

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