Shows how employees are distributed according to their behavior in response to simulations (repeat offenders, needing attention, never assigned, no interaction)
Identifies which departments, teams or countries have a higher rate of repeat offenders or lower assignment coverage
Allows detecting gaps in the assignment of training to users who never received a simulation
Includes quick access to take action directly from the dashboard: analyze employees, send a phishing simulation or a qrishing simulation
Navigation: Insights → Simulation Analytics
View the dashboard Upon entering, the active period loads automatically.
Read the People Status Distribution: The main section is divided into three columns:
Left column — User status Donut chart showing the total active users distributed across 4 statuses:
Repeat Offenders (red) – fell for more than one simulation
Needs Attention (yellow) – users who fell for a single simulation
Never Assigned (blue) – users who never received a simulation
Did Not Interact (green) – received simulations but did not interact with any
Center column — Status indicators 4 metrics with absolute value and % of total victims:
Repeat Offender Rate
Needs Attention
Never Assigned
Did Not Interact
Below is the Top Repeat Offenders block. It lists employees who fell for more than one simulation. The percentage indicates the proportion of campaigns in which the user fell for the bait out of the total campaigns assigned to them. E.g.: 75% means they fell for 3 out of every 4 assigned campaigns.
There are also quick access links with arrows (→):
Employee analysis
Send a phishing simulation
Send a qrishing simulation
Right column — Other indicators Additional metrics expressed as absolute value and % of total victims:
Assigned Who Failed: users who had catalog courses assigned and failed. They do not necessarily correspond to a specific campaign.
Completed and Failed: users who completed catalog courses and still failed. They do not necessarily correspond to a specific campaign.
Users Who Reported
Read the Repeat Offenders and Assignment Coverage blocks Further down, 6 blocks are shown with a grouping selector (Departments / Teams / Countries):
Repeat Offenders by Department
Repeat Offenders by Team
Repeat Offenders by Country
Assignment Coverage by Department
Assignment Coverage by Team
Assignment Coverage by Country
Each block shows progress bars with % per group. Bars in green with a check icon indicate good status (0% repeat offenders). Bars in red with an alert icon indicate groups with a high failure rate or low coverage.
The dropdown selector allows switching the grouping between Departments, Teams and Countries without reloading the page.
"Last period" toggle Disabled by default in this view. When enabled, indicators show a comparison with the previous period.
Apply filters: Click on Filters (top right). A side panel opens with:
Manual date range (From / To fields with date picker)
Predefined periods: Last 7 days / Last 14 days / Last 30 days / Last 60 days / Last 90 days / Last year
Segment filters (Target): Department / Groups. 🔜 Filters by Countries and Roles will be available soon.
Click Save to apply. All blocks reload with the filtered data.
What is the difference between "Needs Attention" and "Repeat Offenders"?
"Repeat Offenders" are users who have already fallen for more than one simulation. "Needs Attention" groups users who failed once.
What does "Never Assigned" mean?
These are employees who are part of the organization but never received any simulation. It is a coverage indicator: if it's high, there are gaps in the awareness strategy.
Do the quick access links (Employee analysis, Send simulation) lead to another section?
Yes, they are navigation shortcuts that redirect directly to the corresponding features within the platform.
Can I view repeat offenders grouped by team instead of by department? Yes. Each Repeat Offenders and Coverage block has a dropdown selector with options: Departments / Teams / Countries.
Does the tooltip on the progress bars show additional information?
Yes. Hovering over a bar shows the % with a contextual label (e.g.: "9.5% of total victims")
