Evaluation Method

Ethnography

Ethnography is an in-depth qualitative research approach for studying people, practices, meanings, and social contexts in everyday settings.

Concept facts

Ethnography is an in-depth qualitative research approach for studying people, practices, meanings, and social contexts in everyday settings.

Also known as
Ethnographic research, field ethnography, workplace ethnography, design ethnography.
Used in
Human-centered design, field research, workplace studies, service design, development research, and technology implementation studies.
Interpret with
Observation, field study, contextual inquiry, participatory design, research ethics, and triangulation.

Plain-language explanation

Ethnography helps teams understand how technology fits into real life and work. It looks beyond isolated tasks to examine routines, relationships, environments, power structures, tools, documents, and informal practices.

In digital service programs, ethnography can reveal why a system that looks usable in a lab may fail in actual use. People often combine digital tools with paper records, phone calls, social networks, local knowledge, and institutional workarounds.

Why it matters

Development-sector, public-service, and enterprise systems are rarely used in clean, controlled conditions. They operate inside organizations, communities, regulations, infrastructures, and local routines.

Ethnography helps teams understand these conditions before designing or implementing a system that conflicts with real practice.

Use contexts

Ethnography is used when:

  • a system is embedded in complex social or institutional routines
  • formal workflows differ from actual work
  • technology use depends on local trust, authority, or access conditions
  • shared devices, paper records, or informal communication shape the service
  • teams need deep contextual insight before major design or implementation decisions

Application guidance

Ethnography usually requires extended engagement, careful field notes, ethical sensitivity, and attention to context. It may include observation, interviews, artifact review, shadowing, and participation in everyday settings.

For UX projects with limited timelines, teams may use ethnographically informed methods without claiming full ethnography. The distinction should be clear.

Practical example

An agricultural advisory program launches a mobile platform for climate-resilient farming guidance. Early analytics show low use of the official app, but field visits reveal that extension workers still rely on shared phones, printed seasonal calendars, local WhatsApp groups, and verbal recommendations from respected farmers.

An ethnographic approach shows that adoption is shaped by trust, language, network access, seasonal workload, and the credibility of advice. The redesign therefore focuses not only on interface changes, but also on message timing, offline reference materials, staff support, and local validation practices.

Interpretive boundaries

Ethnography is not a quick usability test. It should not be claimed when a team only conducts a short interview or a brief site visit.

Ethnographic findings can be rich but context-specific. Teams should avoid assuming that one site fully represents all users, institutions, or regions.

Applied at Userhub

Userhub uses ethnographically informed research to understand digital services in real environments, especially where institutional routines, local practices, and socio-technical constraints shape user experience.

This approach supports better design decisions for development programs, public services, education platforms, health systems, and institutional workflows.

See Userhub UX Lab for applied UX research and evaluation context.

Sources and references

Blomberg, J., Burrell, M., & Guest, G. (2003). An ethnographic approach to design. In J. A. Jacko & A. Sears (Eds.), The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications (pp. 964–986). Lawrence Erlbaum Associates.

Dourish, P. (2006). Implications for design. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 541–550. https://doi.org/10.1145/1124772.1124855

Hammersley, M., & Atkinson, P. (2007). Ethnography: Principles in Practice (3rd ed.). Routledge.

Spradley, J. P. (1980). Participant Observation. Holt, Rinehart and Winston.

Cite this entry

APA

Userhub. (2026). Ethnography. UX Reference. https://userhub.com.bd/reference/ethnography/