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The QaaS category in VoxDash provides specialized analytics for survey‑based datasets. These reports help teams understand how users engage with survey questions, what analyses they perform, and how frequently cross‑tabulation tools are used. This section explains each report type in detail.

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Question Page Views

This detailed log tracks every view of a survey question page, capturing all contextual metadata around the event. Information included:
  • Question title
  • Survey name
  • Associated dataset
  • Viewer name/email (if available)
  • Indicator showing whether filters were applied
  • View type (e.g., direct view, navigation, deep link)
Why it’s useful:
  • Understand how users navigate surveys
  • Analyze which questions attract the most attention
  • Detect usage patterns such as filtered vs. unfiltered exploration
  • Identify potential usability issues in long surveys
Common use cases:
  • UX research on survey interaction
  • Evaluating user interest in specific question types
  • Supporting audit and compliance logs

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Cross‑Tabulation Analyses

This is a detailed operational log of all cross‑tabulation analyses performed by users.
Each entry gives insight into how users compare two different survey questions. Information included:
  • Main (primary) question
  • Secondary/comparison question
  • Survey and dataset names
  • Organization or workspace
  • User details (name/email)
  • Filter status (whether filters were applied)
  • Analysis type (e.g., standard cross‑tab, segmented view, advanced filters)
Why this matters:
  • Understand which comparisons users find most valuable
  • Track how decision‑makers analyze survey results
  • Identify trends in analytical behavior across teams
  • Support audit trails for regulated environments
Use cases:
  • Enhancing survey design based on analysis behavior
  • Usage‑based billing or enterprise analytics reporting
  • Detecting heavy usage for performance scaling