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Data-Prompted Interviews
Friday, December 17, 2021 • QuantQual Interest Group (Rosenfeld Community)
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Data-Prompted Interviews
Speakers: Amelia Cole
Link:

Summary

In this session, Amelia unpacks data-prompted interviews with an emphasis on Experience Sampling Methods. You will learn the essentials of running an Experience Sampling study and how to use quantitative data during interviews to enhance our understanding of daily life activities and experiences.

Key Insights

  • Data prompted interviews enhance understanding of user experiences by using participants' own data.

  • Experience Sampling Method (ESM) helps capture real-time experiences and behaviors of participants.

  • Combining quantitative and qualitative methods provides richer insights in UX research.

  • ESM can address sensitive topics and improve ecological validity by gathering data in real-world contexts.

  • Effective study design in ESM requires careful consideration of participant fatigue and engagement.

  • Pilot studies are crucial for refining the data collection process in ESM.

  • Ethical considerations must be prioritized, especially when using technology and data collection methods.

  • Processing participant data from ESM should ensure clarity and relevance to research questions.

  • Unstructured interviews can complement ESM by providing deeper qualitative insights into user experiences.

  • Engaged research teams lead to higher quality data and participant retention in longitudinal studies.

Notable Quotes

"Our mission is to facilitate and strengthen cross-disciplinary collaboration."

"Data prompted interviews use the participant's own data to enhance understanding of their experience."

"Experience sampling focuses on what people are doing, thinking, and feeling in real time."

"One of the main considerations when designing an ESM study is the frequency with which you engage individuals."

"This method improves ecological validity by capturing data in real situations rather than retrospectives."

"ESM allows researchers to observe patterns of change over time, particularly in responsive environments."

"Preparation is key when designing and implementing ESM studies to ensure successful outcomes."

"ESM is particularly effective for understanding experiences of sensitive topics."

"Data prompted interviews can stimulate participants' memories, leading to richer qualitative insights."

"Using participant-driven dashboards can create a dynamic understanding of users' experiences."

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