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Case Study · Instructional & UX Design
AI-assisted phishing simulation analytics

The click isn’t the lesson.
The trigger it exploited is.

A dashboard that reads phishing simulation results and breaks them down by scenario category and employee department, so security and L&D teams can see exactly where risk concentrates and assign follow-up training that's actually targeted, not just repeated.

ROLE — Instructional & UX Designer SCOPE — Dashboard + AI mentor recommendations PROGRAM — Corporate security awareness
The interactive prototype

From raw results to a defensible recommendation

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Q3 Simulation Review

{{ filteredEmployeeCount }} of {{ totalEmployeeCount }} employees shown
Use your own data Upload a CSV of your simulation results and the dashboard rebuilds around it — same charts, same training escalation.
Download CSV template

{{ upload.message }}

Simulations sent (attempts) {{ attemptCount }}
Clicked {{ clickedCount }}
Reported correctly {{ reportedCount }}
Ignored {{ ignoredCount }}
Avg time / attempt {{ avgTime }}
Click rate over time {{ p.label }} 100% 50%
Click rate by scenario
{{ b.name }}
{{ b.pct }}%
Recommended training, by how many times they've clicked

Escalation is based on repeat behavior this quarter, not a single incident.

{{ t.label }} {{ t.count }} employees
{{ t.action }} {{ t.detail }}
AI Mentor

Asking the mentor…

{{ ai.error }}

{{ ai.label }}

{{ ai.intro }}

Key findings
  • {{ b }}
Employee ID Department Attempts Clicked Last scenario Last date Assigned training
{{ r.name }} {{ r.id }} {{ r.department }} {{ r.attempts }} {{ r.clicks }} {{ r.lastScenario }} {{ r.lastDateStr }} {{ r.tierAction }}
Impact & reflection

What this saves

Estimated against the old manual-review process: the dashboard turns a day of log-scrolling into a working session most managers finish before lunch.

Drag to see time saved, at your program’s scale
{{ reportCount }} simulation reports / quarter
Manual review (before) {{ manualTime }}
With the dashboard (after) {{ aiTime }}