A guide to using ethnography in qualitative research

What ethnography is, the six core principles that shape a good ethnographic study, and how mobile technology has transformed how researchers run them.

A research participant documenting their daily routine for an ethnographic study using a smartphone.

Key takeaways

  • Ethnography is a qualitative research methodology focused on generating rich insight into the lives, habits, experiences, and behaviours of the people we need to understand.
  • It's defined by six core principles: researching people in their natural environment, conducting research in the field, understanding context, taking the participant's perspective, describing and interpreting needs, and uncovering unknowns.
  • Mobile ethnography has transformed the methodology. Smartphones reduce observation bias, speed up fieldwork, and allow remote research at scale.
  • Ethnography produces insight that surveys and interviews miss. The context, behaviour, and unexpected moments that surface when you watch people live their lives.
  • With Indeemo, you can recruit globally, run ethnographic studies in 30+ languages, and analyse multimedia submissions with generative AI — without the cost and logistics of traditional in-person fieldwork.

What is ethnography?

The aim of ethnographic research is to generate rich insight into the lives, habits, experiences, and behaviours of the people we need to understand. The systematic, descriptive nature of the method places this long-standing methodology firmly within the diverse ecosystem of qualitative research.

In many ways, there's no single "right" way to do ethnography. When we design an ethnographic study, we're eager to explore, discover, understand, and build empathy. But ethnography is defined by several key characteristics that researchers, practitioners, designers, and innovators adopt to generate insight, form understanding, and develop empathy for the people they're designing for.

Ethnography in a sentence:

A qualitative research methodology that generates rich, contextual insight into how people actually live, behave, and experience products and services — in their own environment, on their own terms.

Why research people in their natural environment?

"Our goal is to see people's behaviour on their terms, not ours." — Ken Anderson, Harvard Business Review, 2009

Unlike traditional qualitative methods where participants attend interviews, experiments, or focus groups at a specific location, ethnography explores the lives of others in their natural environment. Social interactions, daily habits, morning rituals — all of these matter for understanding how people experience a service or naturally use a product.

When research happens in a controlled environment, the risk that participants withhold their true feelings and opinions increases. When someone goes about their daily life, the intrusive nature of a controlled study is largely removed, and you get closer to a genuine picture of their experience and behaviour.

Why conduct ethnographic research in the field?

"When studying natural use of the product, the goal is to minimise interference from the study in order to understand behaviour or attitudes as close to reality as possible." — Nielsen Norman Group, 2014

Complementing the point about natural environments, ethnographic researchers typically immerse themselves in the lives and culture of the people they're studying. Traditionally, the researcher's presence, however discreet, was (and in some ways still is) a sensitive characteristic of ethnographic design. Observation bias is a real risk: a product user might subconsciously adjust their usage habits if they know they're being watched.

Mobile ethnography helps with this. Digital, online, and mobile ethnography platforms shift the balance of control towards the participant. The participant becomes an active contributor, documenting and describing their own feelings and opinions rather than being observed. That change reduces observation bias and often surfaces insight that wouldn't emerge through a one-to-one interview.

Why is context central to ethnography?

"When it comes to discovering unmet customer needs and innovation opportunities, there's no substitute for in-the-moment, in-context observation for making meaning out of the complex weave of emotion and rationality that drives consumer behaviour." — Julie Wittes Schlack, Harvard Business Review, 2015

Data holds different meaning and value when it's contextual, and the same is true for understanding customers, product users, or patients. Context is directly tied to the natural environment in which people use and experience products.

Contextual inquiries often go hand in hand with the discovery phase of UX research and design. When you observe and capture the who, what, where, when, why, and how of your users, you begin to understand them. And once you understand them, empathy follows. Context is everything.

How do you get more perspective in ethnographic research?

"If you design from your own perspective, based on your own life experience, you will likely create a really super great product that's perfectly suited to your own needs... which could have nothing to do with the life of the user." — userinterviews.com

Deep insight should always come from the perspective of the people whose lives you're trying to understand. Insight drawn directly from the user gets you closest to the truth of their experience.

Observation bias remains a consideration — people may change their behaviour if they feel observed. But techniques like mobile diary studies reduce this risk because the researcher isn't physically present. The participant records their own experience, on their own terms, in their own time. That shift in control often produces more honest, grounded data.

How do you describe and interpret needs and experiences?

"Ethnography relies on the researcher to interpret meanings and develop greater understanding." — userinterviews.com

Whether your research focus is user experience, customer journeys, healthcare, or academic, an ethnographic methodology requires you to describe and interpret the experiences and behaviours of others. That interpretation is essential to the work.

Traditionally, ethnographers took field notes, sometimes across weeks or months, then synthesised a descriptive account of the real-world rituals they encountered. Note-taking introduces its own bias, but allowing people to describe their own experiences in parallel increases the validity of the exploration.

Aligning with the principles of autoethnography, the power of smartphones and mobile technology lets you capture the detailed, meaningful moments in people's lives. Experiences and behaviours described directly by the user (through a video diary, for example) can reduce the biases that come with traditional direct observation. Mobile technology also increases the reliability of the data, because the people being observed are providing information directly through formats (video, photo, screen recording) that leave less room for interpretation drift.

Interpretation still requires time, but a digital approach speeds up the process. Instant access to participant experiences, combined with functionality like automated keyword analysis and journey mapping, helps researchers get from raw data to meaningful insight faster.

How does ethnography uncover the unknowns?

"When you see how customers interact with your product, you can identify problem areas that you may have overlooked." — reveall.com

There are two primary differences between quantitative and qualitative research. Quantitative research tests hypotheses. Measurements built into a questionnaire help prove or disprove a specific claim. Qualitative research, by contrast, seeks to discover what you don't yet know.

In UX, a research team might conduct a discovery study with open-ended questions, often using diary studies to surface unknowns. In academic work, a researcher might design an exploratory study to identify themes and patterns in people's lives. In either case, the job of the ethnographic design is to stay open and explore, not to validate what you already think.

The qualitative nature of ethnography will uncover insights you didn't anticipate. For organisations and brands trying to understand how customers experience a new product or service, that capacity for surprise is central. UX design should be directly informed by user research, and ethnographic methods in particular help surface the unexpected user behaviours and interactions that shape whether a feature succeeds or fails.

How does Indeemo support ethnographic research?

Indeemo is designed for mobile ethnography and supports the full ethnographic workflow. Alongside traditional ethnographic principles, you can:

  • Recruit B2C and B2B participants in hours from a panel of 3 million+ respondents
  • Capture videos, photos, screen recordings, and texts as participants live their daily lives
  • Use generative AI for summarisation, translation, thematic analysis, and sentiment analysis to speed up analysis significantly
  • Transcribe and translate imported interviews and multimedia submissions in 30+ languages
  • Create subtitled highlight reels that bring participant voice to life for stakeholders

Everything sits in one dashboard, which makes moving from fieldwork to insight faster than traditional ethnography ever allowed.

Do you need to be an ethnographer to use these methods?

No. Whether you're an experienced qualitative researcher, a UX team running your first ethnographic study, or a brand exploring how customers actually live, Indeemo can support you.

Use the platform independently if you have the expertise in-house, or partner with our Catalyst team for study design, recruitment, moderation, and analysis. If you have research ambitions but not the capacity to run the project yourself, we can lend a helping hand.

Why does ethnography still matter?

Ethnography has served diverse industries and researchers with tools and techniques to deepen human-centred understanding. Whether you're in the discovery phase of UX design for a new product or mapping a patient's healthcare journey, ethnography gives you rich insight into experience and behaviour.

In-context, in-the-moment qualitative data are core attributes of the method, and they're now being strengthened by the reach of mobile. Mobile ethnography combines seamless reporting, journey mapping, and visual dashboards to give teams a better understanding of the customer and a stronger basis for building empathy with the people whose experience will ultimately determine whether a product succeeds.

Frequently asked questions

What's the difference between ethnography and a focus group? Focus groups bring participants to a shared environment and discuss topics as a group. Ethnography brings the research to the participant, observing (or letting them document) their behaviour in their own natural environment. Focus groups capture articulated opinion; ethnography captures real behaviour in context.

What's the difference between ethnography and mobile ethnography? Mobile ethnography is a digital evolution of traditional ethnography. Instead of a researcher being physically present in the field, participants use their smartphones to document their own experiences through video, photos, and screen recordings. It's faster, more scalable, and reduces some of the observation bias traditional ethnography grapples with.

How long does a typical ethnographic study take? Traditional ethnography could run for weeks or months of fieldwork. Mobile ethnographic studies are typically shorter — a focused study might run for one to two weeks, longer programmes might extend to four to six. AI-assisted transcription and analysis also significantly reduce time-to-insight.

How many participants do you need for ethnography? Ethnographic studies usually work with 15 to 30 participants. Because each participant generates rich, multi-format data across time, sample sizes can be smaller than survey research while still producing deep, actionable insight.

What industries use ethnographic research most? Consumer goods, retail, healthcare, pharma, technology, and UX teams are heavy users. Anywhere real-world behaviour, context, or ritual matters — which is most places where products and services touch real people.