Our Founding Story
Applysia combines HR and Tech to develop the Assessment of the 21st century.
The two co-founders, Dr. Richard Hossiep (left) and Fabian Daugs (right), met through fellow students at university and went on to found Applysia in the heart of Münster in 2018. Their goal is to modernize and enhance the quality of talent selection. Even during their studies, they developed a passion for HR-related topics and quickly recognized the great potential for improvement in this field. Their desire to bridge the significant gap between scientific research and practical application drives them to continuously develop and refine their work. Richard and Fabian have now been successfully working together for eight years.
As a Business Psychologist (M. Sc.), Richard is responsible for Business Development, Marketing and Sales. Fabian has a Master's degree in Media Informatics, supervises the areas of Software and Product Development and is the head of our Tech Team.
Together, our two founders have already overcome a number of obstacles and challenges and continue to develop Applysia with great motivation and pride. Find out more about Applysia in the press and media here.
2020
Market launch
14.600+
Candidates
3.200+
Observers
1
Mission
More about us and the Team
Applysia in the Media
Applysia goes far beyond our homepage - if you want to find out more about us, take a look at our press and media pages:
More about our upcoming events
We regularly host digital events on LinkedIn. Our webinars take place every three months and provide an optimal platform for professionals and interested individuals to learn about, discuss, and expand their knowledge on the topics of digital assessments and interviews. Our experts share valuable insights into Applysia and practical tips for its application.
Podcasts and interviews about digital HR processes
The exchange with experts in the fields of HR, data and business enables us to continuously develop and broaden our horizons. That's why our co-founder Richard Hossiep has recorded a series of podcasts and interviews in which we contribute to the debate on the evidence-based implementation of HR processes and the digitalization of HR processes. Here you will find exciting perspectives on questions around the future of HR, what level of digitalization and innovation is appropriate and the challenging role of data and digitalization and what benefits Applysia can offer.
In the following podcasts, Richard shares insights, knowledge and visions about innovative HR processes. Listen in and be inspired!
In this insightful conversation with the host Tolga Mahlke, Dr. Richard Hossiep delves into the dynamic world of talent selection and highlights the crucial role of innovation in optimizing assessment processes.
As a thought leader behind Applysia, he shares valuable insights that are not only relevant for leaders and HR professionals but also for anyone passionate about forward-thinking talent management.
To the podcast
In this podcast from pplwise Richard talks about how to effectively manage personnel selection and development processes.
Assessments are crucial in personnel selection and development as they help to understand the potential and skills of applicants. Rather than relying on gut instinct, scientific standards should be applied to make informed and predictive decisions.
In conversation with Bernard at the DatenBusiness Podcast Richard talks about his vision of the future of HR work.
Central future topics such as control and trust at work, data and digitalization and the efficiency and validation of personnel selection and development processes (also with Applysia) are addressed here and examined from exciting perspectives.
We spoke to Marvin Neumann about biases in personnel selection.
Marvin is an assistant professor at the Faculty of Behavioural and Human Movement Sciences and Organizational Psychology at the University of Amsterdam. In an interview with Richard, he explains the topic of decision-making in personnel selection and also presents his brand new research findings. Finally, we hear his best practices for working objectively and data-based in data evaluation and combination in order to avoid biases in personnel selection.
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