Introduction to Episode: “How Real Leaders Help Their People Grow Professionally and Personally”

What does it take to be a great leader?

How do you build trust, inspire growth, and create real value for your team and organization?

In this episode of The Effective Statistician, I sit down with Aziza Yormirzaeva and Klaus Breuer to answer these questions. Aziza shares how Klaus, her former manager, guided her to discover her passion for statistics and grow both as a professional and as a person. Klaus explains how he empowers his team, fosters trust, and creates a workplace culture that prioritizes learning and collaboration.

Their story is filled with practical lessons, inspiring moments, and insights that will challenge how you think about leadership and personal growth.

Let’s jump right into this fascinating conversation!

Key points:
  • Leadership: Building trust, inspiring growth, and prioritizing collaboration.
  • Mentorship: Klaus guiding Aziza to discover her passion for statistics.
  • Professional Growth: Empowering team members to learn and succeed.
  • Authenticity: Honest communication and standing by data-driven insights.
  • Collaboration: Creating win-win situations for individuals and the organization.
  • Trust-Building: Establishing credibility through support and training.
  • Empowerment: Teaching others to leverage tools and make informed decisions.
  • Sustainable Value: Creating systems that deliver results even in your absence.
  • Continuous Learning: Both leaders and team members growing together.
  • Personal Growth: Developing not just careers, but individuals as a whole.

This episode highlights the transformative power of authentic leadership, trust, and mentorship in driving both personal and professional growth. Aziza and Klaus show us how fostering collaboration and empowering others can create lasting value for individuals and organizations alike. Their story is filled with practical lessons and inspiring insights that can help you on your own journey as a statistician, leader, or team member.

If you found this episode valuable, don’t keep it to yourself—share it with friends, colleagues, or anyone who could benefit from these powerful takeaways. And don’t forget to subscribe to The Effective Statistician so you never miss an episode full of actionable advice and inspiring stories. Let’s continue to learn, grow, and make a difference together. Listen now!

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Aziza Yormizaeva

Senior Statistician at Boehringer Ingelheim

A dedicated professional passionate about applying scientific approaches to solve industrial problems. I enjoy to facilitate innovative transformations within organizations.

Background in Mathematics ensures honesty, structure, organization, precision, and accuracy in delivering results.

Personal characteristics: Grit, passion, perseverance, proactive, goal-oriented, independent. I value networking, building long lasting relationships, and initiating collaborations to make positive impact. I am not hesitant to share ideas or propose improvements. I appreciate a leadership without authority.

Passion outside work: indoor (focus on muscle building)/outdoor sports, Sports Nutrition, travelling, attending inter-cultural events, meeting and connecting to people.

Klaus Breuer

Senior Software Developer bei tarent solutions GmbH

Klaus Breuer is a Senior Software Developer at tarent solutions GmbH with 30 years of experience in software development and architecture. He specializes in building iOS and Android apps, web applications, databases, and various programming solutions. Proficient in multiple programming languages, including Dart/Flutter, Python, Swift, C++, SQL, Java, PHP, JavaScript, HTML, and CSS, Klaus brings a versatile skill set to his work. With leadership experience as a development lead and expertise in Scrum methodology, he excels in managing and delivering complex projects. Beyond his professional expertise, Klaus has a creative flair for aerial photography and videography and is well-versed in emerging technologies such as 3D printing, the Internet of Things, Arduino, and Raspberry Pi.

Transcript

How Real Leaders Help Their People Grow Professionally And As A Person

Alexander: [00:00:00] Welcome to another episode of The Effective Statistician. And today I’m super happy to have Aziza and Klaus here. And I know Aziza already for quite some time and she connected me also to Klaus. And A couple of months ago, recording this actually more at the end of the summer, and we had a discussion before the summer, we had a very good discussion about the impact statisticians can have.

And Aziza learned a lot from Klaus and Klaus learned a lot from Aziza. And so I think there’s there’s a Lots of beautiful insights into the discussion. And lots of great learnings for you as a listener to the effective statistician, but before we dive into the content, let me first. Introduce you to my two guests today [00:01:00] and ladies first, Aziza, maybe you can speak shortly about your background and where you’re now working.

Aziza: Yes. Thank you very much, Alexander. It’s really nice to be here in my favorite podcast. And it’s really great to have this episode with my former manager Klaus. And we will be talking about him later. But yes, I am Aziza and I am a statistician and I became a statistician because of Klaus.

And it’s really it’s really a pleasure to share my experience and I am working at the moment as a senior statistician in the nonclinical world of the pharma business. And I am responsible to support development team in the animal health business was a statistical consulting design of experiments and everything you can yeah, every concept that you can use and extract insights [00:02:00] from the data.

And I am enjoying this world. Pharma is really very beautiful world. In my opinion, because one learns a lot about the health care and about our bodies about how to stay healthy and how to contribute to health care. It’s really nice. And so this is. And this is my experience in development team as a statistician.

And before I joined Boehringer Ingelheim so now I’m in was Boehringer ingelheim. And before I was at Corning incorporated and it was Corning environmental technologies business. And I was a plant statistician there and reporting to Klaus, my manager there. And Which I’m very grateful for.

And I was there also in the role of consulting, statistical consulting and and yeah and was involved in a lot of projects and was also supporting Klaus with promoting Six [00:03:00] Sigma methodologies and has gained a lot of experiences there with Klaus. I come from the manufacturing world.

And now I’m gaining my experience in the development world.

Alexander: Thanks so much, Aziza. And yes, it’s always a pleasure to have listeners of the podcast as actual guests on the podcast. Let’s turn it over to Klaus. So you already got introduced as a manager at Corning. How long are you at Corning?

Klaus: Oh, it’s difficult to say, but it’s true. 34 years now very close to that in September. And I’m a statistician by education. So I studied at the University of Dortmund in the eighties and got my degree as a diploma there and got hired by a former one who studied there. Early 1990s and got into being a statistician as a manufacturing plant.

And yeah, that was something special. I didn’t realize that I want to stay [00:04:00] there a long period of time. It was an understanding, an experience at that point. Our manufacturing facility at that point, and still it is a ceramics technical company, which makes products for the automotive business.

And the thing which hooked me to, to the place a great deal was as, as planned statisticians that I was in the beginning, we were dealing with data that we saw directly where they occurred because the manufacturing floor is only 20, 30 meters away from my office. All the time when we have data accent, I could try to look at how the data gets get manufactured in the daily shifts business and that was fascinating to me at that point of time.

I stayed there. Corning is a technical company, an American technical company, which has a lot of good products in the area of glass and ceramics. Some of you may [00:05:00] know about Gorilla Glass, which is one of the famous products and well known products of Corning. Not manufactured in the place where I stay, but anyhow, it’s a technical oriented company.

And one other thing which hooked me there also was there were statisticians. in the States together with the one who hired me, Carlos Valtan. So there was, in this American based company, there was a tradition to have statistics being important and data being important. And I was introduced and mentored by a statistician there who made me aware you have to go through the data, you have to be, get your hands a little dirty.

Also, sometimes, Things like that. That was interesting in the early time frames. And then somehow it took me that I stayed there forever. And I probably will conclude my concrete career at the same plant. In the years after 2000, our plant got a chance to expand [00:06:00] and that was then in, I think it was 2015 or something like that, as either you may remind me, or 2018.

I don’t completely remember. We got the chance to expand my little department and I could hire Aziza as a certain member of our little group. It was 2017. 2017? Yeah. Long time ago. So Aziza joined my team was, I have one other technician reporting to me fr and there was in a timeframe where we, when we grew a lot with a new business part and that made us aware we need more resources.

And that for me was a great learning experience because getting somebody new into statistics was was something new to me. I was applying my statistical tool and was happy about that, but now I when Aziza joined us, we needed to clarify how to proceed there. And Aziza was very successful and I was successful having [00:07:00] Aziza for me.

And that’s. Was a great thing. Then when Aziza got the chance to go to Böhringer Inlnheim we hired a successor of her, Teresa, who is now with us two, nearly three years, and I’m very glad to see that she, with her skills, which are different to Aziza’s, also really makes a great progress of learning.

So it’s it’s nice for me to have people like Aziza or Teresa coming from education from a university with a lot of dedication to learn becoming that interested in statistics. So I think that’s when Aziza says I made her a statistician. I think it was herself making her a statistician with the dedication, the openness to learn something interesting and statistics can be interesting.

Alexander: I love what you’re saying. Yeah. I think our job offers us so many opportunities to learn. And if we stay eager to learn and hungry to [00:08:00] Investigate further. That’s a great opportunity to grow. Let me dive a little bit deeper into this learning experience. Because I think that is something that I’m looking forward to.

Every supervisor that’s currently listening here, and every person that has a supervisor, which most of you probably have, unless you’re self employed then your clients are probably your supervisors, but they’re not usually as good supervisors as a real supervisor. But see so Aziza, what have you learned from Klaus as a supervisor?

Aziza: Yeah, so he’s a supervisor and he’s more than just a name. Klaus is my inspiring manager and inspiring person mentor and the driving force behind my career, as I always mentioned. And he is actually the one who helped me to find out my passion. And my passion is statistics. It’s the world statistics.

He was the one who [00:09:00] was. Who introduced me my dream job. And I remember the first day at Corning, I was so nervous. I didn’t know about anything about the job, about what will I will be expected. And I didn’t know what my tasks will be. And and I, from the time I had an interview, I was Buying some books and trying to learn a lot of things about statistics because I am not I’m not specialized in statistics, but I have a degree from master’s in mathematics.

I studied mathematics and I didn’t have any specialization. I didn’t, I don’t have statistics specialty and I was nervous and and I, my first day was February 2nd, 2017. And I remember being greeted by a gentleman who warmly welcomed me at Corning and guided me through a labyrinth type of corridor.

And I showed my workspace and he introduced me to our friendly friendly colleague [00:10:00] and took time to discuss my learnings from the time I’ve been interviewed because I wanted to show how, what I learned and I was, because didn’t know what I will be expected to do.

And I tried to to tell a little bit about what I studied during the time that I had. And It, which the concepts that include Six Sigma and statistics and some data visualizations. And yeah. And it was the first time, and I didn’t know, but Klaus was so gentle and I he introduced me.

He took time to explain me everything, and he was passion. He had a lot of passions with me. And just taking a baby and make the baby walk. I remember, and this was like I, my, my dream place to be for me, who has no experience in industry and always was at university and studying and this whole pure theoretical concepts that I’ve been taught and the exams it was for me, it’s a D it was different world [00:11:00] and he showed me the world of industry and the world of statistics, and basically step by step.

And I worked at Corning for five years and during the five years, I never felt treated unfairly. I was always sure, confident in everything what I was doing because Klaus was always supporting me as a good manager. And and someday I even wrote an article on LinkedIn, maybe you also read about it.

I was so inspired by Klaus. It was like, I think it was my fifth year in his department and I was. Taking like sitting and thinking about Klaus how much this person is inspiring and how much he puts efforts in really teaching and all his contributions to the industry and in the and in applying statistics and really contributing to his To his job [00:12:00] and all his education was so inspiring and I just wrote about an article about him.

And so what makes Klaus is special. Klaus has a very special way of of respecting people in my opinion, and he’s very gentle and he he, I remember he took times to really go through theoretical concepts and And I would learn some concepts of statistics and come and discuss them with him.

And it was a dedicated one hour learning session. And I remember I found I found some courses online and because I didn’t have any statistical background. So I had to speed up with some of the concepts. And I used to come and sit and Klaus used to take time for me. He was one of the.

Most busy people in my in our organization but he took time and and I think this shared passion for [00:13:00] learning is what made us a great team. And after working for the industry I even saw that he went to back for a long time, he went back to study to, at university and he was doing a program, a data science program, which was very inspiring.

Firing for me. And and so he was the manager who was alwa also ready to get out of the comfort zone and and change the dynamic and try to be always updated and help others. More than that, he is very humble person and the one of his personal characteristics that I liked most.

He’s a very authentic and he’s dedicated and sincerely cares about the company. And sometimes he works nonstop and forgets even to drink during the meetings. And then during the meetings, he realizes that he that he needs some water and he says, To the colleagues. Oh, I think I have to drink a drop of water [00:14:00] before I continue.

So that was that’s something that I always saw in him when he’s in meetings his days were, are all full with meetings and he’s so dedicated and really takes time. And and I saw a lot of care from his side to, and dedication to the company. And And Klaus is also was a manager who never lets you down.

Who he also introduced me to different teams and he used to say, Hey hey colleagues, please meet Aziza. And I remember it was at the beginning of my career at Corning and he introduced me to different teams and say please meet Aziza. And if you find any interesting projects or interesting activities consider her.

She doesn’t have to be the second Klaus. And I, for me, I used to call myself sometimes mini Klaus because it was for me. Yeah. I used to like to call myself mini Klaus because [00:15:00] it was for me a dream, to become like him. And yeah, I maybe I didn’t become the second the mini Klaus, but I Everything, what I learned from him is guiding me through throughout my career, my even my personal life.

And he taught me not only to grow as a professional, but also as a person. And I do believe when one has a good manager who makes you think about certain scenarios and a very Yeah, in a very holistic way. I think one can learn a lot and I still apply yeah, those those methods that Klaus taught me in my career and yeah, that helps me.

Alexander: Awesome, Aziza. I a lot of raving about lots of very good aspects. I think there, if you’re now listening as a supervisor, I think there’s a lot of gold in what Aziza [00:16:00] just taught thought and said about what a good manager looks like. So I would encourage you as a listener to just scroll back and think about all the learnings from what Aziza just mentioned, being helpful, taking time introducing you to others help with the learning always back people up have a people mindset.

always understand how you create value for the company and so much more. There’s one thing that you mentioned that I would like to have a little bit of a double click on because it’s a buzzword and then I’ll hand over to Klaus to comment on it.

Aziza: Yeah.

Alexander: You mentioned Klaus is authentic and I would love to know, can you tell maybe a story where that authenticity comes through?

Aziza: Yeah. So authenticity being authentic [00:17:00] Klaus it and in, in many different scenarios and moments and and knowing his personality. I absolutely can can say Klaus is very authentic person. So being authentic for me means that you tell, you always try to be honest, try to tell the truth and try to as a statistician we can create our own stories.

And we can, which can be really dangerous, we know, and and what what makes that makes our work I think is more valuable or our performance as a statistician valuable is when we are authentic and authentic being authentic means when you are delivering results then you tell what are the what are the different outcomes of this results.

To me, it means that, okay, I’m delivering you some results but be aware of [00:18:00] this. In, in the case of Klaus I saw him in many meetings when he was mentioning marking, yes, we can do that, but Please take into account that this could happen. This is the risk. And he was standing up in the meeting and saying it loud without any without any fear.

And He wasn’t none of the leadership levels were stopping him to stand up and say what he thinks as a statistician. And to me, it means that he is honest with his job and he’s authentic. And I would if I was a leader of the company, then I would really value that properties of statistician.

Alexander: Love it. Yeah, I think lots of statisticians can relate to that, that it needs, that you speak about. What’s the data really says, and also what it doesn’t say, [00:19:00] the limitations in it, and what can you conclude and what you can’t conclude. And you can tell that irrespective of who is in the room. So close! Yes.

Yes. Yes. After having this raving review from Aziza maybe you can speak a little bit to what you learned from her. We talked a lot about your relationship and I can. tell myself that I learned a lot from people around me, from supervisors, from mentors, from colleagues and also from people that reported to me.

So what was your learning experience and working together with Aziza?

Klaus: Yeah, thank you for that opportunity. With respect to learning from Aziza, She mentioned that we took the time to to give her the chance to get introduced to the statistics theory. And I have to admit, this is basic statistics.

Not very far [00:20:00] advanced in the first place. But I think the fundamental things are very important. That gave me the chance to learn again to recap what I thought many years before. And that definitely by talking to to Aziza and trying to explain some of the basic concepts, I really learned it.

And as as every trainer, though you learn the most as a trainer because you. really need to make sense of what you are talking about. And that helped me a lot to reconfirm and again, think about statistics concepts myself a lot. Also I was impressed by Aziza’s theoretical way of thinking, which was different to me.

I’m not so much a theoretical thinker like Aziza is. And I think that impressed me with her. And yeah, we work together in this case that I explained to her, how is our manufacturing process going on. I always start. I [00:21:00] often stress the linkage between the statistical concept and the and the application at hand in our product, in our manufacturing process may be properties of our product or may be performance and process steps so that you have to understand this here and it has to fit together.

And sometimes, you have to have special special ways of doing things. I would like to add one thing to the talk of Aziza, which came into my mind a few minutes ago or a few things on that. Aziza said I was able to stand up and give her time and support her. And there’s one benefit I have in my organization is.

We are an old family work. Our company has our plant has something like between 500 and thousand workers depending on time period. But the people in the in the organizations, there are many people who like me have been very long together. And if you are very long in an organization [00:22:00] together, you can only survive if you are honest and fair to each other.

So that is a baseline for being authentic. So I am not afraid of speaking up to this group of people and saying my opinion, even if I know that I have a different opinion. I try then to understand in which responsibility they come from if they are for another department and for that reason have a different responsibility of that I don’t have.

And so I think that having this kind of environment was also very good for me. And it gave me the chance to take time with Aziza and and say, okay you need some time to learn our product. You need some time to learn statistics. And and I felt always that The success that Aziza and every other person in my group is in the, having in their [00:23:00] job is my success.

I am I’m not telling that I made the work that Aziza did, but I I’m proud if I see that Aziza or now Teveza present something and people feel, oh, that is great. That is interesting. And really that is my focus as a supervisor that I that I can proudly say this person working for me has done something great and even something I could not have done.

So Aziza developed in the last two years of her working with us a framework about project management in manufacturing in 4. 0. So in, in new data and big data which is a topic of area where I still need to learn. I I don’t feel myself to be really competent on that because it’s not the topic I learned in basic statistics that I was 30 years ago.

She came up with a project work there and a project approach based on. Reading research papers and things like that and wrote something together with [00:24:00] really impressed me saying, okay, I would not have done it in this way. And I really felt happy about that. That’s she could deliver something like that.

And that’s for me. I if you as a supervisor can develop that. Attitude that you feel the deliverables of your people is their deliverables. So they are it’s their success, but you feel it as your own success yourself. But that makes it easy for you to then say, okay, I help her with developing into that direction.

I help you to grow. So that’s something I I I learned about myself a little bit more having Aziza as a first newcomer into statistics and now with Teresa I see something similar going on. So that made me very happy about the work together with Aziza. And another environmental advantage I have here in my department, which may not be true for many groups is because of my long [00:25:00] experience.

I am, I’m a little bit of a freelancer, something like that, but I have the chance to pick topics I would want to work on for the community of engineers, which we are working to. So we have an organization with engineers in the mechanics and chemistry and and ceramics area. And they, we train them to understand, to work with statistics.

It’s using software like Jump to visualize data that’s some important element where Aziza and now Teresa were getting responsibility for me to make people being trained in using these concepts. But really, if there’s something very interesting, fascinating, strange, then I try to jump on that and help on that.

Where we focus on a certain topic to, to really make a great element. So this might be something which is very special that I was able here to get in my environment. [00:26:00] And I don’t know whether that is true for many people. Yeah. So because I’m here being 30 years in my role or nearly 30 years, I’ve had different, slightly different roles in the meantime.

But that really was something which helped me to be able to deliver Aziza some support in her education in the early years. And that’s something I see that other colleagues, other supervisors may not have said easily. And that was, some answer to your question, I may, we may follow up again.

Alexander: Yeah, I love a couple, lots of things about this. I can really reiterate, if you teach something, you start to really understand it. I think it’s one of these areas of learning where you. Become really conscious about all those different things. Yeah. There’s a theory about learning that you first.

You have basically four stages. The first is you don’t know what you don’t know. And then the [00:27:00] second is you do know what you don’t know. And the third step is you know what you know. And then the last step is that you don’t know what you all know. My perception is there’s actually a fifth step. And that is, you can actually train others on what you know.

And that is, that’s a beautiful area to reach. And I completely agree, you can only do that by teaching. You mentioned one sentence very on a side note. And I think this is a very fundamental sentence. I help you to grow. If the supervisor has that mindset and the people in the organization, the team members understand my supervisor is here to help me grow.

And Aziza, you mentioned that also, that you have grown as a professional and as a person. That is a great [00:28:00] relationship. Now, of course we also work in a business and I think you had a half. It appears that you have found a perfect combination to combine personal growth and also delivering business value and value for the business.

I want to dig a little bit deeper into this because I think it is one of the areas where a lot of people struggle to clearly understand how they actually generate value. to the organization. I think there’s a huge misunderstanding that by working lots long hours, you would create a lot of value, or by producing lots of tables, you would create a lot of value.

Now you have a very different approach. First is you train others to use statistics for [00:29:00] themselves.

One thought that my listener potentially has is, why do you do this? And you make yourself redundant.

Klaus: Yeah.

Alexander: What’s your answer to that kind of thought?

Klaus: Yeah. Sometimes you may be afraid of that. And I remember my first years Sometimes there was somebody from another facility, a statistician who did something very similar to what I did, and who corrected me, and I was completely annoyed about that.

So you may be afraid that if you give away of that. That is a human reaction, which is fair fair enough if that happens. Here in our organization nowadays it’s different. We have the engineers who need to work with data. Our company has a long tradition to say we are data minded.

We want to see data. And I helped them with, or Aziza helped them with using software like Excel as a first place and then later [00:30:00] on now with JuMP to make data speaking. And that is that is, they are still not on a statistician level. So I really feel I am having them look, working with data, They are open to say, oh, data are valuable, and they come up with new questions which are more difficult to answer, and at some point of time, then there is a chance that I can answer them.

with my team jump into action and say, okay, this is really special. Let’s help here. So that is really helpful for us. So I’m not afraid anymore of that because people respect us. I think that is the, if that would not be the case, if they would say, oh, I make my own statistics and I don’t believe you.

I don’t know how I would react. I’m not I’m not saying that I may be maybe surprised or maybe different. One element with respect to statistics, what I felt as an element is and I don’t know how you think about it, Alexander. When I see data and have people doing [00:31:00] data analysis, I expect them to draw conclusions and formulate their conclusions.

That’s what I want them to do. If they just show me graphs and don’t say anything to them I’m upset. They can’t, they can draw the wrong conclusions, but they have to say, I, from this graph or from this statistics, I take this conclusion. I’m going to do the next. I’m, if somebody leaves it open, I feel that is source of misunderstanding and not being yeah, authentic, not being authentic because you asked even listeners to say, oh, what do I see from the data?

And that was something for a newcomer like Aziza to learn that you should not be afraid of making a statement. And I conclude this, if it’s wrong. You will get feedback, but it’s not nothing personal. It’s just learning. So that’s one thing I wanted to mention as something. And really, having people using statistics, using data they become more confident over time and [00:32:00] experts in their area of interest for their measuring their process.

And that’s great, what they really should do about using data a lot. And we have a lot of data systems. Recently, one thing which I feel will becoming an interesting topic for us is we have this software, what is Pi process data. You may have heard about Pi that is continually reading data like temperatures over time or so.

And now we got a data connect, connection to, to pull those data effectively into JuMP and makes them visible. And nowadays the engineers show them just for today data. And seeing if there’s something odd in a problem, and now I think we have a baseline format to say, let’s look at the data for one month or two months or three months ago to compare to today, do I see something special, which makes me understanding.

So I’m working with data. I love to do this. I love to have the feeling that I have a [00:33:00] feeling for data. If I see new data, I’m lost if I don’t have experience with them. And if I get the understanding, I have a feeling for the data and topic. That’s, that helps me a lot and gives me confidence. And of course, this is something I’m here for many years.

So there are areas where I have a great confidence that I know something about the data already, even if I see the first new data that might be very different in your businesses which I cannot comprehend really for me, that is also a fundamental to being authentic. to being bold about having an opinion, even if it’s on the risk that it is a wrong opinion.

Alexander: I completely agree in terms of that you always should come up with a conclusion based on your data. I think for several reasons. The first is people actually want to know what your take on the data is because based on [00:34:00] your experience, your knowledge as a statistician, you will have a educated conclusion from it.

And that is important. The second, and I think this is maybe even more important, is the data is not there just to produce data. The data is there to produce value, for to make a decision, to make a recommendation, to solve a problem. That’s why we have collected the data in the first place. And You need to clearly understand why this data was collected, for what purpose was it analyzed, so that you in the end can make a conclusion.

And if you have that in mind, then you can really make sure that you create value for the organization. The other part of what I loved about this kind of training people working on themselves, that’s another [00:35:00] way to create value for the organization. If you can basically delegate. your work, automate your work, then you always create value for the organization, actually lasting value for the organization.

Yeah. What’s better than that? Some kind of tools work for you, that some kind of automated things work for you or that people can very easily get the answers they need. directly themselves without waiting for have an appointment with the statisticians in two weeks. That is all value.

So I think having in the forefront of your mind, how you can create value for the organization that drives this behavior. Aziza what, how have you learned? To think that way when you were working with Klaus.

Aziza: You mean in the context of

Alexander: creating value for the organization,

Aziza: creating value through organization.

Alexander: No for the organization, [00:36:00] for the

Aziza: organization I think trust is very important. And I think. One of the ways how I gained trust is as clowns mentioned is by training, by providing training, I got close to my stakeholders.

And I think of course, in combination of being humble, honest, and also Be yourself and not a teacher who knows about everything. And every, and the others are knowing not much in not in that way, but hey, I learned something and let’s, let me share about this. What do you think about this?

And I think that created trust. And I started, I felt that being respected for that. And sharing knowledge, being humble, being honest, being authentic that all leads to having an an environment where [00:37:00] trust is the first value in the organization. And once you have trust, I think, and people.

around you can be themselves, we can be ourselves. And we are not afraid to share the story, the way as it is and without filtering out the good things without sugarcoating, then I think Organizations will, and this will bring any organization values. Of course the organizations can put a lot of efforts in really expensive trainings and really expensive tools and provide everything what they need, like in terms of physical and all this software.

Context, but if there is no trust If people cannot be themselves then I think it will be very difficult. So what I learned is to be honest and and create trust and just be yourself. And at the end, we are all humans. [00:38:00] And I think We should first think that we are dealing with people and we’re trying to improve the lives and not something temporarily yeah I want to grow in my career and I want to do my next step.

So I think having a mindset of a long term vision goal it helps the organization to create value.

Alexander: I love that you mentioned trust. I speak about this a lot, if you don’t have trust in the organization, it is really difficult to create value. It’s especially difficult to understand.

where are actually the challenges, where are the problems and how does the, how is the data even created? Yeah, you talked that it’s, you work very close to all the different physical sites in the plant where data is created and that is of course important. And having good trust with the people that, Create this [00:39:00] data that need to work with this data that need to make sense out of the data that is absolutely fundamental and using training, I think, is brilliant.

Yeah. Training has all the elements for you to build trust. The first part is when you do training, you get it. To be known, yeah, because you need to be get people into the training and you need to convince people into the training. And so there is the first step. If people don’t know you, you can’t have an influence.

The second is, you mentioned that people will, if you, if they get the perception during the training, that they really learn something, that you take care, that you are humble, that you want to understand where they’re coming from, help them. If you really show that you care for the people, they will like that a lot.

And through your expertise, [00:40:00] and then actually. helping them, that builds a lot of trust. And so there is the things, the action builds trust. So you can speak a lot of words, but if you actually help people and might be just through a one hour training, that, that builds a lot of trust. Thanks so much.

We are already at an hour within this within this discussion. And I think we talked about a lot of great things. The first is that I think having this mindset around people development, people growth is really important for people, for themselves, that’s a focus on the personal and professional growth.

And that’s a combined creating value for the organization was that the second thing I think is the, that you, if you have this [00:41:00] people oriented mindset, you will always learn something by teaching us. And the third thing is by just doing that. You can create win situations, a win for the supervisor, a win for the team member and a win for the overall company in terms of creating sustainable value.

And I think making sure that others can do your work or that you automate work that is sustainable because it runs there even if you’re on vacation. Now, how beautiful is that? You have done a job and it creates value even if you’re on vacation. So thanks so much Aziza and Klaus for this great interview about your experience on being a supervisor and being a new member on the team, fresh from university, [00:42:00] which by the way, is also some things that I find really insightful.

There’s so many companies that don’t hire fresh out of university. Klaus, what is there any one sentence? That kind of all one takeaways that you have that you would like to share with the listener based on all what we have discussed. Alexander for

Klaus: having the chance to talk to you and Aziza today.

Yes, really the element that was stressed about having the chance that your team member gets a chance to grow that is really really important to me. Once I have recognized that Aziza is smart and dedicated to learn and to grow, It was a pleasure for me to to support her in this way. And I think that’s that’s what I like about and also like about Teresa nowadays who is in a similar situation that you have the chance to get get [00:43:00] growing.

I think that’s really makes a life as a supervisor very interesting, fascinating and great. And I hope that many teams will have similar experiences.

Alexander: Thanks. Aziza, what is your key takeaway from our discussion?

Aziza: Yeah. So today this episode was about mostly I hope Klaus.

And what I want to say is thank you, first of all, for making my dream true, Alexander. It was my dream to have Klaus on one of your episodes and Klaus example taught me that the true leadership transcends the, and transcends titles and leaves a lasting impact on those around us. His example taught me to create partners and win situations in terms of not being not being connected to leadership with authority.

For example, his example is for me Klaus [00:44:00] was for me more of a partner than a manager or supervisor, and that made my job fun. And I was myself. And today with this episode, I celebrate Klaus moment because people like Klaus they impact our not only workplace but they also shape our careers and also our lives and and strive us to be better professionals better colleagues and above all better people.

Thank you very much and let’s keep learning. Let’s keep growing and keep inspiring.

Alexander: Awesome. That’s a great final sentence. Thanks so much.

Aziza: Thank you. Thank you.

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