Rahma K. N.
About Rahma K. N.
Rahma K. N. is a Senior UX Researcher at Halodoc ID, where she has worked since 2019. With a diverse background in UX research, software engineering, and teaching, she focuses on understanding human behavior and the impact of bias in research.
Work at Halodoc
Rahma K. N. has been serving as a Senior UX Researcher at Halodoc in Indonesia since 2019. In this role, they focus on enhancing user experiences through research methodologies that prioritize data-driven insights. Their tenure at Halodoc spans five years, during which they have contributed to various projects aimed at improving healthcare accessibility through digital platforms.
Previous Experience in UX Research
Prior to joining Halodoc, Rahma K. N. worked as a UX Researcher at Applause from 2018 to 2020. This remote position allowed them to gain diverse insights into user experience across different platforms. Additionally, they held a UX Researcher position at Qlapa for one year, from 2017 to 2018, where they focused on understanding user needs and behaviors.
Educational Background and Mentorship
Rahma K. N. has a strong educational background in UX design and technology. They served as a UX Design Mentor at Purwadhika Digital Technology School for one month in 2018, guiding students in user experience principles. They also worked as a Human-Computer Interaction Research Assistant at the University of Indonesia from 2018 to 2019, contributing to research projects that explore user interaction with technology.
Technical Skills and Engineering Background
Rahma K. N. possesses a background in software and data engineering, which supports their UX research efforts. They have experience as a Software Engineer at the Central Bank of Indonesia and as a Frontend Engineer at Qlapa. This technical foundation enhances their ability to analyze data and craft effective digital user experiences.
Research Interests and Values
Rahma K. N. values data as a critical component of the research process. They have a keen interest in exploring inconsistencies in human behavior and the impact of bias in research methodologies. Their approach to UX research is characterized by a willingness to embrace challenges and learn from mistakes, fostering continuous improvement in their work.