Log in or create a free Rosenverse account to watch this video.
Log in Create free account100s of community videos are available to free members. Conference talks are generally available to Gold members.
Data-Prompted Interviews
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 use participants’ own quantitative data to guide qualitative exploration, enhancing insight depth.
-
•
Experience Sampling Methods capture real-time, repeated snapshots of participants’ thoughts and actions to track temporal patterns.
-
•
Balancing sampling frequency, survey length, and study duration is critical to avoid participant fatigue in longitudinal ESM studies.
-
•
Four trigger types in ESM—random, fixed, contextual, and self-initiated—serve distinct research purposes.
-
•
High attrition and resource intensity are common challenges in ESM, necessitating careful preparation and participant engagement.
-
•
Reactivity, where participants alter behavior due to observation, is an inherent feature of ESM and can enhance participant metacognition.
-
•
Unstructured interviews following ESM offer participant-controlled, rich narratives that reveal the why behind quantitative patterns.
-
•
ESM is well-suited for sensitive topics by enabling in-the-moment data collection in natural settings.
-
•
Tools like XPL facilitate ESM research by providing mobile-friendly forms, scheduling, and easy data export for analysis.
-
•
Mixed methods pairing of ESM and qualitative interviews can be tailored by purposive sampling from the quantitative pool for deeper understanding.
Notable Quotes
"Data prompted interviews use the participant's own data to enhance understanding of their specific experience."
"Experience sampling captures real-time lived experience repeatedly to examine patterns of change and growth."
"Balancing how often you signal someone and how many questions you ask is key to reduce participant fatigue."
"There are four trigger types: random, fixed, contextual, and self-initiated, each serving a unique purpose."
"This method has a degree of reactivity; paying attention to something may alter or change behavior."
"Preparation is key: pilot studies and a data analysis plan before launching ensure data quality and study success."
"Unstructured interviews are participant-controlled, spontaneous, and offer rich data but are less replicable."
"ESM improves ecological validity by collecting data in real-world situations as they occur."
"You can use experience sampling data to select a small qualitative sample to dive deeper in interviews."
"Never collect data that doesn’t specifically address your research question."
Or choose a question:
More Videos
"Garrett Hardin’s tragedy of the commons theory says ownership and regulation are needed to save ambiguous resources."
Amy ThibodeauOpening Keynote: Process and Ambiguity
October 23, 2019
"I found the problem solver in the UI developer and identified the project’s sponsor who really felt the pain."
Carl TurnerYou Can Do This: Understand and Solve Organizational Problems to Jumpstart a Dead Project
March 28, 2023
"Write grammatically simple sentences with fewer commas and use the active voice to improve clarity."
Bruce GillespieLearning from journalism: Balancing impactful communication with compassionate storytelling
March 13, 2025
"Design producers love their creative tools and want reporting to be automated, not manual."
Aurobinda Pradhan Shashank DeshpandeIntroduction to Collaborative DesignOps using Cubyts
September 9, 2022
"Short-term learnings kind of roll into long-term ones as you iterate and build on historical findings."
Taylor Jennings Joe Nelson Alex KnollRepository Retrospective: Learnings from Introducing a Central Place for UX Research
March 9, 2022
"BlueStar lowered users' A1C by 2 points, outperforming the most common drug metformin which averages 1.5."
Daniel J. RosenbergDigital Medicine Design
September 26, 2019
"Culture needs to accept failure as part of learning so we can improve rather than assign blame."
Jack MoffettUX Metrics That Matter and The Future of our Design at Scale Conference: A Community Conversation
September 22, 2022
"Ethics needs to be baked into the architecture upfront, not tacked on later after you've built something powerful."
Christian CrumlishThe Pygmalion Effect: In Which a Vibe Coding Experiment Becomes a Million Lines…
August 14, 2025
"Prototypes were very low fidelity because too-high fidelity can intimidate participants and hinder feedback."
Alexia Cohen Adriane AckermanIncreasing Health Equity and Improving the Service Experience for Under-Served Latine Communities in Arizona
December 4, 2024
