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Observation: Shadowing

Following the user during their journey without intervening.

What it is

Main objective

Observe real user behavior in its natural context, without intervening.

Detailed description

Shadowing is a qualitative technique where the researcher accompanies users during their usual activities, non-intrusively observing how they interact with products or services in their real context. This methodology captures spontaneous behaviors, identifies implicit needs, and reveals friction points that might not surface in controlled interviews or lab tests (Nielsen Norman Group). It is particularly valuable for understanding complex workflows and discovering unarticulated user needs in their natural environment.

When it fits

To understand complex workflows and discover spontaneous behaviors that don't emerge in lab settings.

•When studying repetitive tasks or dynamic environments

Use cases

Complex workplace environmentsHealthcare servicesBrick-and-mortar retailIndustrial processes

Effort level

High

Recommended number of users

3-8 users in their real environments

What you gain and what you give up

Advantages

Reveals the truth of behavior: It uncovers insights that interviews cannot, either because participants don't tell the truth (social pressure) or because they aren't aware of their own habits.
Holistic context: It is particularly useful for understanding "cross-channel" experiences (physical-digital), since it focuses on the person and not on a single channel.
Identifying improvised solutions: It lets you see the workarounds or tricks users have invented to get around the limitations of current systems.
Deep empathy: It fosters a strong empathetic connection with the user's realities and values.

Disadvantages

Observer effect: The researcher's presence is intrusive and can alter the user's behavior or performance (people act differently when they know they are being observed).
Costly and time-consuming: It requires a significant investment of time to observe natural behaviors, which can be costly.
Incomplete data: It is difficult for the evaluator to record everything happening in real time; important aspects can be lost while taking notes.
No access to motivations: If not combined with questions or interviews, the reasons behind an observed behavior can remain unknown (you see the actions, but not the thoughts).
Unpredictability: Because it focuses on real processes, unexpected events involving people outside the study often occur, making the method uncontrollable.

How it is applied

Metrics

•Number of emerging patterns identified
•Thematic saturation reached
•Number of key quotes per category
•Number of unmet needs detected

How results are presented

A qualitative report with key findings, verbatim quotes, behavioral patterns and design recommendations. It can include field recordings, photographs and experience maps.

Practical example

Following hospital staff through a shift to understand how they use patient management systems.

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