Teacher Interviews
Real experiences from the classroom
Find out how Marcin Wieczerzycki keeps entire classes engaged in digital marketing from the first lab round to the last, and the advice he has for educators new to simulations.
“With Simbound, students actually try to get as good as possible.”
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How are you currently using Simbound in your teaching?
Please share your institution, study programme, course duration (in weeks), and how the simulation fits into your curriculum.
I teach digital marketing management course at the Poznań University of Economics and Business. The course lasts fifteen weeks. The simulation fits into the practical part of the course, taking place in a lab. Lab work is preceded by a short lecture, which introduces key concepts relevant to the current round of the simulation. At the end of the semester, students present their assumptions, strategies, and how they evolved across Simbound rounds. There’s also a short theoretical test. The best performing teams are exempt from it, to encourage competition.
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What is your favourite Simbound feature, and why?
Is it the AI-powered tools, competitive learning environment, realistic marketing decisions, or the variety of digital marketing topics covered?
I appreciate both the scope and the depth of digital marketing modules offered. They resemble the real tools such as Google Ads or Meta Ads, while being simple enough to avoid overwhelming the students without prior digital marketing experience. I also appreciate that students receive objective feedback based on their performance, along with a chance to improve it. This is entirely separate skill, that’s extremely tough to practice using more traditional methods.
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What has changed in your classroom since introducing Simbound?
Have you noticed differences in student engagement, feedback, learning outcomes, or academic performance?
The largest change I’ve noticed is how consistently engaged and motivated students remain across the semester. Oftentimes they get so into it, that they are surprised by the class ending. They are also more motivated to seek out new knowledge on their own. In general, it seems that whereas in typical class or project work, students seek solutions that are good enough, with Simbound, they actually try to get as good as possible.
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What advice would you give educators introducing marketing simulations into their teaching for the first time?
Are there any practical tips or lessons learned you would share?
1. Play through the simulation yourself and learn the interface. Students will raise questions and may experience technical problems (sometimes self-inflicted). Dealing with them quickly is important, and communicates that you know what you’re doing, rather than just offloading your teaching job to an algorithm. 2. Leverage competition, but in a balanced way. It’s a great motivator, but someone is bound to lose, even if they still perform great value-wise. If the price of losing is too high (e.g. failing the course or receiving a poor grade), then students may focus too much on trying to game the system (e.g. by finding exploits), rather than treating the game as a learning opportunity and an environment where one can safely make mistakes.
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What’s the next big development you’d like to explore through marketing simulations?
Whether it’s emerging digital marketing channels, new audiences, AI, data privacy, or something entirely different, what excites you most about the future of marketing education?
A crisis communication simulation. A more in-depth social media simulation (e.g. with multiple platforms with differing audiences, content formats, etc.). An influencer marketing simulation (with several fictional influencers, with specific brand affinities, audiences and risk/reward parameters).
Additional insights
A few more quick questions to get to know their experience.
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How do you structure the simulation experience?
Students work in teams of 4-6 members. As our practical classes in the lab last only 45 minutes, I organize each round as two such classes. Before each practical class there is a 45 minute lecture that introduces the key concepts related to a particular Simbound module.
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How do you assess student performance?
I don’t want to rely exclusively on results, as I find the process and the reasoning through which these results are obtained to be just as important. Therefore, at the end of the semester I have a round of presentations, wherein students discuss their preliminary assumptions and strategies, and how these evolved, along with some key takeaways. To encourage competition, the best performing teams do not have to write a test for the lecture part of the class.
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What surprised you most after introducing Simbound?
Out of every teaching method I had experienced, Simbound is the only one that manages to keep all the students consistently engaged across the entire semester. Whether it’s discussion session, case studies, quizzes, etc., some people tend to space out every-so-often. This doesn’t happen with Simbound.
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How do you encourage students to learn from their results, whether poor or solid?
Every once in a while I will have a debrief session after a round of simulation, particularly when multiple teams commit similar mistakes, during which I offer alternative solutions/approaches. During the rounds themselves I also supervise teams’ work and help them analyze the results from previous rounds and translate the findings into new strategies.
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How much guidance do you provide during the simulation?
In the majority of cases I give students space to figure solutions out on their own. I jump in if they get stuck, or if they are working under wrong assumptions about technical aspects of Simbound (e.g. if they assume that choosing a company logo or name will have a huge impact on their results, or do not know about a particular option existing).
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