What is Experience sampling method (ESM)?
The experience sampling method (ESM) is a research approach that prompts people to report their thoughts, feelings, behaviours or surroundings in real time or close to it. It collects short, repeated responses from participants while they go about their daily lives to reduce recall bias and capture context-rich data.
ESM (also called ecological momentary assessment) asks participants to answer brief survey prompts at specific moments — for example at random times, on a schedule, or after particular events. Prompts are usually short and mobile-friendly so people can respond quickly in the moment. Because responses are collected repeatedly over hours, days or weeks, ESM reveals how experiences fluctuate, how context influences behaviour, and what typically precedes or follows an event or feeling. Key design choices include prompt frequency, timing strategy (signal-, interval- or event-contingent), question length, and incentives to maintain response rates.
Usage example
A public health team uses ESM to ask residents twice a day for two weeks about their mood and whether they used local green spaces that day. Responses show when people are most likely to visit parks and how those visits relate to wellbeing.
Practical application
ESM matters because it produces more accurate, context-sensitive data than single retrospective surveys. For practitioners collecting feedback from diverse communities, ESM can reveal patterns that one-off questionnaires miss — such as when barriers arise, which settings trigger particular needs, or which services are used most at certain times. In multilingual contexts, ESM works well when prompts are delivered in participants’ preferred language and responses are translated back for analysis. That real-time precision helps organisations target interventions, improve services, and measure change with lower recall bias and richer situational detail.
FAQ
How often should participants be prompted in an ESM study?
There is no one-size-fits-all answer: frequency balances data richness against participant burden. Short studies may prompt several times per day for high-resolution insight, while longer studies often use once-daily prompts. Pilot testing helps find a schedule that maintains acceptable response rates without causing fatigue.
Won't frequent prompts annoy participants or lower response rates?
Prompts can be intrusive if poorly designed. Keep questions very short, allow flexible response windows, limit the study length, and offer clear instructions and incentives. Transparent communication about purpose and privacy also improves compliance.
Do you need special software or skills to run ESM?
You need a tool that can schedule and deliver short prompts and capture timestamps. Many modern survey platforms — including multilingual-capable ones — support ESM workflows. Basic statistical training is helpful for analysing intensive longitudinal data, but straightforward summaries (e.g., daily averages, response patterns) are often sufficient for practical decision-making.
How should data from different languages be handled in ESM?
Deliver prompts in each participant's preferred language to maximise clarity and response quality. Responses can then be translated back for analysis. A workflow that allows automatic translation plus participant feedback and manual review improves accuracy while keeping administration light.