> ## Documentation Index
> Fetch the complete documentation index at: https://docs.outkept.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Dashboard

> Reading your interaction data and filtering it usefully.

Once your simulations are launched, step back and look at the fuller picture. Within a few
days, data appears on the dashboard tab, giving a view of the various interactions
and the corresponding data range. This is what you build your report from.

## Understanding the numbers

Hover the information icon next to any interaction for an explanation of what it means.

The number next to each interaction is how often that interaction occurred, based on the
number of simulations where that type of interaction was possible. So if eleven simulations
included an attachment, attachment figures are measured against eleven, not against your
whole campaign.

### Got phished

**Got phished** gives a high-level view of your organisation's vulnerability. It counts each
unique phishing interaction per simulation. If somebody clicks a link and opens an
attachment in the same mail, that counts once, not twice.

## Filtering and clustering

You can filter on the specific data uploaded during onboarding. Looking at the interaction
rate of particular departments or business functions shows you where the weaknesses actually
sit.

| Filter type | Options |
| - | - |
| Tags | Country, business function, language, seniority, industry, gender |
| Attributes | Organisation name, department name, business function |
| Date | A specific date range |
| Clustering | Group results by a chosen period |

By default, clustering follows the phishing frequency you set during onboarding. You can
find that under **Phishing frequency** in **Campaign settings**.

## Deleted persons

You can include deleted persons in the data. People who left the organisation, and the
target list, still appear in the statistics.

<Tip>
  Worth switching on for long-term reporting. Excluding leavers makes your historical
  numbers shift every time somebody resigns, which makes year-on-year comparison
  meaningless.
</Tip>

## Next

To analyse one simulation rather than the whole campaign, see [Emails](/emails-tab). To get the
numbers out, see [Monthly reports and exports](/monthly-reports-exports).


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