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Interview: In-depth

Individual conversations with users to explore their motivations, needs, and opinions in detail.

What it is

Main objective

Obtain detailed understanding of needs, motivations, and experiences.

Detailed description

In-Depth Interviews are a qualitative methodology that uses structured yet flexible conversations to explore motivations, attitudes, experiences, and needs of individual users. This technique enables obtaining detailed insights about personal perspectives, usage stories, and emotional factors that influence user behavior, providing rich and nuanced understanding that complements quantitative data. Academic research demonstrates its value for generating empathy and discovering unique insights (Nielsen Norman Group). It is fundamental for the discovery phase and for validating personas and journey maps with real user experiences.

When it fits

Project discovery and definition.

  • •Exploratory research
  • •Problem definition
  • •Understanding deep motivations

Use cases

In-person servicesInternal workshopsHypothesis definition for further research

Effort level

Medium to High

Recommended number of users

5–10 users

What you gain and what you give up

Advantages

  • Depth: It lets you gain a deep understanding ("night-vision goggles") of phenomena that would otherwise remain hidden.
  • Flexibility: Being semi-structured, they let the researcher follow unexpected conversational threads that can reveal unforeseen innovation opportunities.
  • Empathy: It is one of the most effective tools for a design team to develop genuine empathy toward users.
  • Correcting assumptions: It challenges the organization's internal perceptions of who the user is and what they need.

Disadvantages

  • Not statistically significant: The results cannot be extrapolated numerically to the whole population, due to the small sample size.
  • Self-report bias: Participants may idealize their behavior, rationalize their actions after the fact, or lie to please the interviewer (social desirability).
  • Dependence on the interviewer: The quality of the data depends entirely on the interviewer's skill in avoiding leading questions and building rapport.
  • Time-consuming: It requires a lot of time for planning, execution (travel, sessions), and above all for analyzing the qualitative data.

How it is applied

Metrics

  • •Unique qualitative insights
  • •Emerging themes identified
  • •Emotional depth achieved
  • •Unmet needs discovered

Practical example

Interview students about learning challenges for educational platform redesign.

Free tool by UXR — UX Research Consulting in Chile

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