Kerstin Dreesen

Customer Operations Specialist at TestingTime

Kerstin Dreesen has a diverse work experience spanning various roles and sectors. Kerstin is currently working as a Customer Operations Specialist at TestingTime, where they support clients in finding suitable candidates for market research projects and ensures product quality. Kerstin also owns their own business, sugarprintsDE, since 2021. Prior to that, they co-owned Barjiji & Dreesen GbR and vertical publishing UG. Kerstin has also worked as a Content Creator at Delticom AG, where they focused on specific websites related to tire sales, and as a Company Owner at Sitzsack Onlineshop. Additionally, they served as a Business Development Manager at Lioncast Gaming and Online Marketing Manager at Schmellenkamp Communications. Kerstin started their career as a Content Creator at GIATA GmbH and later worked as a Sales and Marketing Specialist at Axel Springer SE. Overall, Kerstin Dreesen has gained extensive experience in customer support, content creation, business development, and marketing throughout their career.

Kerstin Dreesen has a diverse educational background. From 1996 to 1999, they attended Technische Universität Dresden, where they studied Politikwissenschaft, Wirtschaftswissenschaft, and Anglistik. Following this, they pursued their studies at the University of Warwick - Warwick Business School from 1999 to 2000, focusing on Politics and International Studies. Later, from 2003 to 2007, Kerstin Dreesen enrolled at RheinMain University of Applied Sciences, where they obtained their Diplom degree in Medienwirtschaft.

Location

Berlin, Germany

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TestingTime

TestingTime’s customers are in the UX and market research industry and both markets are in need of participants for usability tests, interviews, focus groups, diary studies and surveys. TestingTime provides a pool of more than 350,000 test users from which customers order their desired target users for qualitative and quantitative user researchonline. Test users are acquired through online campaigns and referral mechanisms and a smart rating system and predictive machine learning algorithms ensure high quality test users with a low no-show rate. The company is currently used by large corporations like UBS, Zalando, Microsoft, Accenture and many more.


Employees

11-50

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