Data Analyst

Role

Analyzes quantitative or structured data from tests, usage, sensors, surveys, platforms, or evaluation studies.

Description

A Data Analyst works with structured evidence generated during development, testing, exhibition, or evaluation. In immersive media this may include surveys, telemetry, completion rates, session logs, timing data, interaction events, comfort ratings, device performance metrics, and audience participation patterns.

Testing & QA Context

On the evaluation side, the Data Analyst helps turn raw measures into interpretable findings. They may summarize patterns, compare versions, identify recurring problems, visualize results, and support evidence-based design decisions.

Scope Note

Includes data cleaning, descriptive statistics, dashboards, charts, survey summaries, telemetry analysis, issue frequency analysis, and structured reporting.

Boundary Note

Data analysis does not replace qualitative observation or interpretation. Many immersive experience problems only become clear when behavioral data is paired with observation, interview, or contextual notes.

Collaboration Note

Common collaborators include evaluation designers, usability analysts, impact evaluators, researchers, developers, producers, QA leads, and experience designers.

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