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Filters

Filters let you focus your dashboard analysis on specific subsets of survey responses. You can apply filters globally to the entire dashboard or locally to individual blocks.

Definition​

A filter is a condition that restricts which survey responses are included in your dashboard’s data visualizations. Filters can be set for the whole dashboard (global filters) or for a single block (block filters). When filters are active, each affected question displays filter "chips" to show which filters are applied.

When to use​

Use filters when you want to:

  • Analyze results for a specific group (e.g., a region, product, or time period).
  • Compare different segments side by side using separate blocks.
  • Exclude irrelevant data from your analysis.

Avoid using too many filters at once, as this may result in tiny or empty datasets.

Key behaviors & constraints​

  • Global filters affect all blocks in the dashboard.
  • Block filters only affect the block where they are set.
  • You can combine global and block filters; block filters further narrow down the data.
  • Filter chips appear next to each filtered question for clarity.
  • Filters do not change the underlying survey data—only what is shown in the dashboard.

Configuration​

To add or edit filters:

  1. Global filters: Click the filter icon in the dashboard toolbar to open the global filter dialog.
  1. Block filters: Click the filter icon in a block’s header to open the block filter dialog.

Examples​

  • Block filter: In a comparison block, filter one block to "Product A" and another to "Product B" to compare satisfaction.
  • Combined filters: Apply a global filter for "Region: Europe" and a block filter for "Age: 25-34" to see only European respondents in that age group for a specific block.