Minutes
Culture & Values
Published on
September 16, 2022

7 Game-Changing HR Lessons from Google's 'Work Rules!'

- 7 lessons we should learn from Google
Contributors
Line Thomson
Founder & senior People Partner
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Culture, values, hiring the right people, motivating your employees, developing your employees, all these areas are hard to define and address within a company. To start of these processes it can be helpful to look how other companies have done it. So why not learn directly from the best? In this blog we will take a closer look at 7 essential HR lessons from Google set out in Laszlo Block’s book Work Rules! We will look at their successes and, maybe even more importantly, their failures. We will set apart these lessons and show you how they can help you into developing the right HR processes.

Lesson number 1: Vision, mission, transparency and voice are key to culture.

We keep repeating it and Laszlo confirms it, if you want to build a strong company culture, you need to start at the beginning. You need a clear vision, mission and connected values which describe why your company even exists. These need to be easy to identify with, ambitious and meaningful. The second aspect of their strong culture is their transparency and voice. Laszlo describes a corporate culture where everybody has access to everything in their internal systems from day one. Their CEO gives weekly Q&A sessions about what is going in in the company and they are even regularly running programs where employees can express complaints about internal policies, regulations and way of doing business (like the one in 2009 called ‘Bureaucracy Busters’).

Main takeaway: if you want to turn your departments with employees into teams with colleagues then you need a clear vision and mission, transparency and to let their voices be heard.

Lesson number 2: Hiring the best takes time, resources, (team) effort and high standards.

Within the recruitment department they’ve gone through many phases of what they perceived as the best way of hiring. First, they only admitted the candidates with the best qualifications, then they focussed more on mediocre candidates with better potential for development, in the end they are focussing now on a healthy mixture of both. Above all, they keep their standards high, which is key to the standards of their employees. Only 0,25% of all applicants gets the job. Laszlo compares that with the prestigious university of Harvard, which admits around 6,1% of all its applicants. Just so you understand how few candidates actually get the job. What’s more is that Google interviews new candidates in teams of four. These teams often consist of colleagues, managers, subordinates and one “cross functional interviewer” from an entire different department. He or she should ensure that the candidate is not solely being hired out of mere desperation.

Main takeaway: if you want to have the best teams, never lower your standard to speed up a hiring process. Hiring takes time, effort, resources and high standards. Start to improve your hiring process tomorrow by setting up hiring teams for function instead of ‘just a hiring manager and a recruiter’.

Lesson number 3: Promote autonomy and initiative by encouraging data usage and discouraging politics.

Google has a very flat internal hierarchical structure, in fact there are roughly four levels of hierarchy across all Google employees. Laszlo describes an internal culture where data trumps politics and promotion can only be made if the data shows that you are worthy of the promotion. So, for instance, you want more autonomy or you would like a promotion up the hierarchical ladder, then the data of your past performance must justify this. You must have shown in your work experience that you have a recorded history of making good decisions or leading teams/projects. Only then are you entitled to move up, the internal politics play less of a role. This also creates understanding amongst the rest of the employees why somebody is entitled to a better (paid) position within the company.

Main takeaway: hierarchical decisions need to made based upon transparent data. This has to be done in order to make the right decision, but also to gain support and understanding for the decision being made.

Lesson number 4: Study the top to improve the bottom.

Many companies look at their employees through a performance ranking system called the Bell Curve method (you can read more on that here). They use this system to decide who gets a bonus and who should be let go. Google uses this method too, but uses its results differently. They study their top performers and see what makes their performance so great. They use these results to create similar environments for their bottom performers in order to increase their performance. Project Oxygen showed that an exceptional manager is essential for a top performer. Engineers under an exceptional manager performed 5 to 18 times better than their peers. Google often evaluates the bottom 5% and offers them support to increase their performance.

Main takeaway: try and understand what makes your top performers so good and try and create similar environments for your bottom performers to improve them. Exceptional managers create top performers.

Lesson number 5: Stop looking for external teachers, use your own internal teachers.

Whenever companies feel the need to develop their employees, they often refer to external training agencies. They provide lengthy training sessions and workshops in all forms and ways. Even though this is a billion-dollar industry, the effects are often underwhelming. Laszlo notes that this is often due to ill design, lack of specific information, incorrect teachers or even that the trainings are not analysed for their effectiveness. Within Google they therefore mostly stopped with external development agencies, but are now looking inwards for qualified teachers. That means that if they need to increase sales, or address bugs faster, or find better candidates, they will look for their best sales person, bug squasher or recruiter to teach the rest of the department their tips and tricks. This reduces the training costs and brings their employees closer together in a common goal.

Main takeaway: if you want to develop your employees, look for internal teachers first before reaching out to external teachers.

Lesson number 6: Pay unequal based upon performance, award victories with experiences and encourage failures.

In a world where there are still big discrepancies in pay between gender and race, Google still chooses to pay different people in a similar position different salaries. So how do they justify this? Simple, their solution is to pay fair. If an employee out-performs their colleague by an extra 20%, then this employee will be often entitled to more benefits (in terms of stock options, bonusses and salaries). Although this in and of its own sounds fair, it does not mean that Google handles each situation as well as it ought to, which leads to the occasional salary scandal. Google often tries to increase happiness and performance as well, one of the ways of doing so is to hand out bonusses to well-performing employees. However, an internal survey showed that the employees did not necessarily became happier because if it. To address this Google started to award well-performing teams with experiences instead of individuals with money. This created a stronger sense of team and belonging amongst employees.

Finally, Google also tries to encourage all calculated risks. Google Wave in 2009 failed, but Google rewarded the team working on it anyway. Why? Because Google wants to encourage calculated risks and innovation. Even if the innovation might not turn out to be the next award-winning functionality this time, it could be just that the next time, so you need to keep your team motivated towards innovation.

Main takeaway(s): pay unequally based upon performance supported by data. Celebrate team performance instead of individual performance with experiences. Encourage calculated risks and innovation, even if the possibility exists that it could fail.

Lesson number 7: Face cultural problems, altering behaviour and the power of nudging.

Google has a company culture of transparency, as discussed under lesson number one, and even if that sounds great and has a lot of benefits, it can also backfire. One of the ways it backfires is that Google suffers one significant leak almost every year. When that happens Google announces in the entire company what has been leaked and what has happened to the employee that has caused the leak. Even though this might sounds devastating, Laszlo argues that the benefits of transparency outweigh these disadvantages. The same can be said for when Google tried to decrease some perks and benefits which was met by entitled behaviour such as scolding of and throwing food at cafeteria staff. Google published the entitled behaviour via surveys which led to staff-wide embarrassment and a drop in the level of entitlement. Google also had to deal with the fact that they wanted to change certain behaviours, such as keeping doors open for strangers, eating unhealthy food on lunchbreaks and leaving unlocked computers unattended. From their experiments it shows that restrictions and information about a better choice do not work. It is often met with anger and frustration. Their solution is to keep the freedom of choice, but nudge towards the right behaviour. For example, keep healthy and unhealthy food in the cafeteria, but keep the healthy food widely on display and easily to access while unhealthy food is more hidden and harder to access.

Main takeaway: the only way of facing cultural problems is head on and if you want to change behaviour then you should keep the freedom of choice but nudge towards the right choice.

In conclusion

The biggest insight of ‘Work Rules!’ is that data is key to many HR problems. It should be the key driver behind decision making, culture and many other aspects of HR, not only to do the right thing, but also to create understanding for why you do things. In this blog we have given you a very small taste of a must-read for any HR employee. We therefore strongly recommend that you read Laszlo’s full book, make your own analysis of what might work for your organisation and start making implementation plans to improve your business. Or you can get in touch with us and we can help you to with skipping the first two steps and directly move towards solutions to improve your organization.

Culture eats Strategy for Breakfast" - a business mantra that dominated fast-growing companies for the last decade, but why? What does it mean?

Within the world of business and fast-moving companies, there is one mantra that rings true for all of them “culture eats strategy for breakfast”. Mark Fields, the former CEO of Ford, realized in 2006 already that culture is more important than strategy. His reasoning revolved around the customer and the fact that the modern organization should be agile and adaptive to the ever-changing needs and desires of its customer. This does not mean that Fields believed strategy to be unimportant, but it means that it does not matter how good your business strategy is, it will fail without a company culture that encourages and empowers your people to implement it (read more here). In other words, according to another great thinker; “Power to the People!” (John Lennon, 1971).


Freedom and Autonomy


Although it is strange to find CEOs and political peace activists to be of the same opinion, there is a truth in what they believe. But what does this mean in reality? According to me, that means that, over time, we have got more freedom and autonomy to make decisions, in our personal and professional lives – which is for the better. Globalization and the internet have opened a window of choice and opportunity. This has naturally only been enhanced by free market forces in our everyday personal lives, but also in our professional lives. The entrance of a new, generally higher educated, workforce in the market and the flattening out of traditional hierarchies within organizations over time, has propelled the advance of professional positions with more decision-making power. A company used to have one or a few bosses who called all the shots. Rigid hierarchical systems made for narrow and isolated decision-making processes, causing all kinds of problems from obvious biases, tunnel vision, and even blatant arrogance or naivety. More and more decisions are being made outside the board rooms and C-level suites.


Just think about the number of vacancies that have included some sort of requirement related to decision-making, e.g.: “excellent decision-making skills”, “ability to make sound and effective decisions”, “proven track record of effective decision-making”, and “excellent problem-solving skills”. All these requirements show some form of autonomy and decision-making power that is included in the position. More evidence can be found in the tech industry which is often a frontrunner for economic and societal trends nowadays. Within the software industry, we see a lot of these similar ideas and terms. Terms like “hive-mind decision-making” and “mob programming” indicate a similar trend and a better understanding of democratic decision-making.


Culture, Decision-making & Empowerment


So, you might wonder, how are culture and decision-making related? Simple. Empowerment is the bridge between culture and decision-making. Once you empower your employees to make their own decisions, they will need some sort of guide to lean back on. A guide that will help them to make decisions related to setting goals, making priorities, scheduling, time management etcetera. In other words, they need a sort of guiding set of principles that help them motivate and prioritize decisions. Do you feel where I am going with this? Exactly, they need a culture that helps them in their everyday work life. A good culture means that people can take more decentralized decisions. They are not reliant on leaders to show them how to act, prioritize or behave in relation to their work. This means that your organization becomes more agile and resilient as leaders can be busy or absent. Less dependency also means that it is easier for your organization to exchange actors if need be. Think about your company as a sports team. It is easy to exchange players from your team if the overarching system works and if the team spirit is good. Individual players know what to do (overarching structure) and how to do it (team spirit).


The strong case for a competent culture to create a resilient and adaptive organization does not exclude the fact that a good strategy is needed to achieve the goals of the business. That is also not the original point that Fields made. His point was that, if you must prioritize your time, your first priority should be your culture and your second priority should be your strategy. A company with a bad strategy but good culture might succeed because empowered individuals can overcome the lack of structure through their individual decisions. But a company with a good strategy and bad culture will almost definitely fail as the unempowered employees will or cannot implement the strategy in practice. That is the key difference. That is why culture eats strategy for breakfast if you want to create a sustainable business.  


Read more about how culture eats strategy for breakfast and how we can use culture as an organizational tool here.  


Line Thomson
January 12, 2023
How will Artificial Intelligence impact Human Resources?

AI is a broad term of all forms of demonstrated intelligence by machines. It encapsulates everything from simple customer-service queries to sophisticated deep learning networks. It has been around since the 1940’s and has become a real hype in the last ten to twenty years. The problem with AI is, is that it is something like the internet in the 1980’s: everybody is talking about it, little people actually know what they are talking about, and even less people are getting business value out of it. Today we find AI in: self-driving cars, chat-bots answering questions, email spam filters and more. In this blog I will try and make an attempt to belong to the second category and show you where AI stands right now in HR and where I believe it will go to.  

Firstly, let’s start off with a quick note for sceptics towards AI and their idea that robots will take over the world, as Hollywood shows us in movies like ‘I, Robot’, ‘Terminator’, and ‘The Matrix’. Experts themselves have no idea when we can achieve Artificial General Intelligence (AGI), as in the movie robots, and are guessing somewhere near the end of this century or even after that. Furthermore, they argue that it is simply impossible for us to create beings which think like us because of one simple reason: we know very little our own brain. In other words; we almost know nothing about our brains, let alone reproducing them. Now that’s out of the way, let’s see where we are today in HR.  

Where we are today

Today AI is being used within HR on a limited scale, let’s start of by looking at recruitment. There are already algorithms who help recruiters source the right candidates and there are also applications which can scan resumes and search for certain key words and sentences indicating that he or she has the right profile. Another feature of AI which is currently being used is in the first stages of contact with a candidate. You can think of automated messaging, scheduling interviews, providing ongoing feedback about the recruitment process and answering their questions in a chat function. The main idea behind these simple tasks is to reduce bias and save recruiters time which they can spend on more important tasks, such as: assessing cultural fit, holding technical interviews and finding qualified referrals.  

AI is also being used within HR as a chatbot for general HR-related inquiries (such as Una from Unilever). These bots function as first-line HR support for all your employees. Another interesting development is the use of VR (Virtual Reality) within HR. It is being used to simulate real-life scenarios and test, measure and improve behaviour. VR is and will be an integral part of training for real-life situations and how your employees will handle them. The idea behind these developments is to, yet again, relieve your HR employees from simple tasks, assignments, and recorded training sessions and let them focus on the harder tasks, such as talent development and culture building.

Finally, there are also early signs of applications which analyse the data and computer activity of employees to predict who is thinking about leaving the company and when. The idea behind it is that with big data analysis you can see which digital office behaviour indicates that somebody is thinking about quitting the company. This will allow your HR employees to take up contact with the individual to see if there is anything that can be done to change the individuals mind or if you need to think about a mutual agreement on ending the employment and start looking for a replacement. In this sense it is important because these early signs can let you be ahead of the curve so you can have a smooth transition from one employee leaving and a new one taking his or her place.  

Want to find more on where AI stands in HR today? Have a look at this article from the HR Exchange Network.  

Where we will go in the future

In the short term the abovementioned methods will become more sophisticated. So automated sourcing, resume scanning, messaging, chatbots, VR training and employee data analysis will be able to direct you towards more specific answers. We all know the frustration of a chatbot which just keeps you sending to the same general page on the topic from the FAQ, while the info you really need is somewhere else. Just as anything in real life, that on its own will take time. The AI will need time learning from the input that we give it.  

More interestingly, I believe that AI will also have a place in face-to-face contact with the first interviews. I think that companies like Future Robotics will also introduce their life-like customer service robots in the realm of HR. This can be via a digital setup or even in person. The robot will deal with the basic questions which get asked in a first interview. Algorithms will then analyse the answers given to see which candidate made the best first impression. Additionally, I also think that VR sessions can be used to test candidates on their capabilities into handling different situations. The upside here is that it takes out all personal bias from a recruiter’s perspective towards the candidate.  

Another thing that AI will bring HR is new jobs. Up until now I have only described AI as a possibility of downsizing activities and how it might replace jobs in the future. On the other hand, it opens up opportunities for HR to be a real tool to increase the productivity of your company. The future of HR will be more focussed towards behaviour, culture, ethics and values and how these can be pointed in the direction which makes sense for your business. Those areas of focus are, not unimportantly, also the main reasons of motivation on how you motivate somebody to JOIN and STAY in your company, so therefore it should be the main focus of your HR department.  

Want to find out more about present and upcoming trends of AI in HR? Have a look at this article from Forbes.  

In conclusion

For now, I am not ready to board the hype train about scientific robots who think and act like humans. I do think however that AI will clear up routine tasks for us which will leave us in HR time to deal with more important issues, such as creating the right culture, stimulating and describing right behaviour and increasing productivity. Do you not want to wait ten to twenty years until AI clears up your HR department’s time for these issues? Contact us and see how we can help you to develop the right culture, motivate right behaviour and increase productivity.

Line Thomson
December 8, 2022
The simple truth is that everybody is bias in some sort of way. This is not because we inherently want it to be that way.

The simple truth is that everybody is bias in some sort of way. This is not because we inherently want it to be that way, but the way we are brought up and the environment we are brought up in, gives us a certain perspective of the world. Our upbringing gives us certain values which we carry with us throughout our lives and we associate symbols with those values to identify whether or not somebody else cherishes the same kind of values. Biases in this sense are basically short-cuts to get to know somebody and what they represent. However, as with all things in life, taking short-cuts means involving risks. In this blog I will talk about the 6 most common recruitment biases and how they can affect your business negatively. In the conclusion you will find a link to how you can overcome these biases.  


Confirmation bias

The confirmation bias is the idea that you have a certain idea about a candidate and you are trying to look for hints which ‘confirm’ that idea, while (actively) ignoring signals which might disprove that idea. Often it is linked to a first impression which is either positive or negative and after that you try to confirm that impression by looking for clues which indicate that the impression was correct. This can either be a positive idea about the candidate or a negative idea about the candidate. Both instances can actually be hurtful to the recruitment. For instance, if you have a certain negative idea about the candidate, the confirmation bias makes it that the candidate can hardly prove him- or herself otherwise. This way you can overlook qualities and miss out on good candidates, just because you are looking for the wrong clues. But a positive confirmation bias is also not good. Unfortunately, this implies that you know something positive about the candidate and are looking for ways to confirm your suspicion, ignoring all clues which might prove you wrong. This way you might send the wrong candidate through to technical interviews, or even worse; you might up hiring the wrong candidate. Do you want to learn more about the confirmation bias? Watch this short video on confirmation bias.  


Heuristic bias


The heuristic bias is a fancy way of saying: ‘judging a book by its cover’. It has strong similarities with the confirmation bias as it is based upon first impressions. In contrary to the confirmation bias, it does not look for extra clues and remains just one set image, which often involves physical appearance. This has the advantage that it does not get reinforced the way the confirmation bias does (by looking for clues), but it has the disadvantage that it is quite difficult to overcome the set image you have of a candidate. German scientists have looked into it and questioned 127 HR professionals who often make decisions about recruitment and promotion. They basically gave them pictures of individuals and the outcome was that the test candidates continuously underestimated the prestige of obese individuals and overestimated the prestige of the normal-weight individuals. The test candidates in this sense quite literally judged the content of an individual by his or her appearance. Read more about their research here.  


Halo and Horn effect


The halo and horn effect is the idea that you attribute certain traits to a person based upon some traits that you already know. Quite simply put you see a person either in an entire positive light (as a saint with an halo) or in an entire negative light (as a sinner with horns) based upon a couple of known traits. In this sense you might see an attractive candidate and assume that they are also successful and competent as well. That is the halo effect. On the other hand, you might find out that a candidate has had a criminal record in the past, which might make you assume that they are unsuccessful and incompetent. That is the horns effect.  


Similarity attraction bias


The similarity attraction bias has no fancy name, but it is a very important bias to be aware of as I believe that a lot of recruiters make this mistake. Simply put, the similarity attraction bias makes you more bias towards persons who are similar to you and your colleagues. This leads to more candidates further down the pipeline which are similar to the people that already work at the company. Now you might be thinking: well, what is the big deal? I need people who are similar because they work better together. Well, that myth has been debunked and it turns out, if you are looking to build quality teams, then you need to be aiming for diversity. That is why the similarity attraction bias is quite dangerous. Do you want to find out more common myths about the perfect workplace?


Conformity bias


Conformity bias is quite an interesting one and often happens when recruitment processes are hiring in teams. Firstly, I want to point out that every company should hire in teams. Why? Secondly, there are some dangers with hiring in teams as well, and the conformity bias is one of them. Basically, it revolves around the idea of peer pressure and that people suppress their true opinion about a candidate to conform to the general opinion of the panel. This often happens in groups which are too large for effective hiring (another lesson that Google teaches us: the magical number for hiring teams is four persons). It is important to address and apprehend this bias as each and every team member might prove to have crucial information as to why or why not you should hire a candidate. You need to be aware of these insights and not have them be suppressed just because everybody likes to adhere to the opinion of the team.  


Expectation anchor


Expectation anchor is the idea that you have first impression of a candidate or a first piece of information a candidate, and that you basically make decisions based upon those first impression or first piece of information. The idea is that we have a very difficult time to shake our idea of somebody once a first impression or idea is established and that we will make decisions based upon those impressions and ideas accordingly. It is very hard to sway somebody and their future actions from that first impression or piece of information, and can often lead to hasty and wrong decisions.  


In conclusion

Firstly, I would say that a lot of these biases overlap in terms of definitions and effects. The expectation anchor for example, is more or less intertwined with the halo effect. Secondly, I would argue that a lot of recruiters are unaware of their own biases and how to overcome them. I myself even find it hard to critically reflect on how I base my decisions and if they are bias-free, but there are solutions to solve these biases. Want to find out more? Get in touch with us and see how we can get your recruitment process bias-free, starting tomorrow.  

Line Thomson
July 26, 2022

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