WHAT IS IT?
Contextual Inquiry (CI) is a User Centered Design approach that is one of the best methods for understanding the context in which users work. It is basically a structured field interviewing technique, based on a few core principles that differentiate it from plain journalistic interviewing. CI is a discovery process that is more like learning than testing and is best used early in the discovery phase of most software development lifecycles.
CI is used to gain an understanding into how people feel about their jobs or tasks they are performing, how they complete they're work, how they use information and how information flows through their organization. It is performed on-site on location where the user would normally use the system. This allows the interviewer to observe user behavior, ask follow-up questions and gain insights into user’s reasoning in context of their work environment.
WHO USES IT?
Contextual Inquiry is used by Information Architects and Interaction Designers to better understand users goals and needs. They use it to gain insights into user behavior, clarify assumptions and understand real world application. They also use it to inform design decisions by grounding them in real user needs and behavior.
HOW ARE THEY MADE?
Contextual inquiry typically requires the following steps:
1. Define the user segments to be targeted for the inquiry. The goal is to hit a cross functional slice of all your users.
2. Create hypothesis’s to be tested and assumptions to be validated.
3. Create a list of demographic questions and ice breakers to start with the CI sessions.
4. Create a list of general questions for traditional interview portion of the inquiry.
5. Create categories of information you want to make sure you learn about as you observe users doing their work or tasks.
6. Create wrap up questions or reminders.
PROS
- Provides insights into users that is not available via any other medium.
- Allows interviewers to discover behavior patterns that are similar amongst all their users.
CONS
- Can be an expensive undertaking, especially for large user communities.
- If questions are not structured appropriately, can lead users to respond according to preconceived ideas.
- Interpretation of data is subjective and can be sabotaged by stakeholders interpreting findings to support hidden agendas.






