Loading...

Run: Phishing Simulation Campaign Review

Track a phishing simulation campaign from lure type and target groups through click, report, and remediation outcomes. Use it to spot repeat failers, measure...

Fill this out, get a PDF emailed to you. No account required. Want to run it with your team and track results? Sign up free →

Campaign Overview

Enter the campaign name or ID as recorded in your phishing simulation platform (e.g., KnowBe4, Proofpoint, Cofense).
Select the category that best describes the simulated phishing lure used.
1 = Very easy to detect (obvious phish), 5 = Very difficult to detect (highly convincing)
Enter the exact headcount of recipients included in the simulation send.
List all departments, business units, or role groups targeted (e.g., Finance, HR, All Staff, New Hires <90 days).

Simulation Results & Key Metrics

Enter the percentage of targeted employees who opened the simulated phishing email.
Enter the percentage of targeted employees who clicked the malicious link or opened the simulated attachment — this is the primary failure metric.
1 = Far exceeds acceptable threshold (critical concern), 5 = Well within acceptable threshold (strong performance)
Enter the percentage of targeted employees who correctly reported the simulated phish via your reporting mechanism (e.g., Phish Alert Button, IT helpdesk).
1 = Far below program goals (needs significant improvement), 5 = Meets or exceeds program goals (strong reporting culture)
Identify any high-risk segments for targeted follow-up. Include department name and click rate if available.

Failure Analysis & Risk Assessment

Enter the raw headcount of employees who failed, not just the percentage.
1 = High risk (widespread failures, sensitive roles affected), 5 = Low risk (isolated failures, low-sensitivity roles)
Repeat failers represent an elevated risk profile and may require escalated intervention beyond standard remedial training.
Examples: manager notification, mandatory 1:1 security coaching, HR involvement per policy, increased simulation frequency.
Document the specific phishing indicators employees should have recognized (e.g., spoofed sender domain, urgency language, mismatched URLs, unexpected attachment).

Remedial Training & Follow-Up

Best practice per NIST SP 800-50 and SANS Security Awareness guidelines is to deliver just-in-time training at the moment of failure.
1 = Poorly matched to the simulation scenario (generic, unhelpful), 5 = Highly relevant and actionable (directly addresses the failure)
Enter the completion rate for the follow-up training assigned to employees who failed the simulation.
1 = Very low completion (significant follow-up required), 5 = Near-complete or full completion (strong compliance)
Document escalation steps for non-compliant employees (e.g., manager notification, HR referral, access restriction per acceptable use policy).

Program Effectiveness & Continuous Improvement

Trend direction is a key indicator of security awareness program ROI. A declining click rate over time signals program effectiveness.
1 = Ineffective (no measurable improvement, high risk), 5 = Highly effective (consistent improvement, strong security culture)
Consider: lure difficulty calibration, department-specific targeting, training content updates, reporting mechanism visibility, or cadence adjustments.
Use this space to capture anything not covered above — e.g., platform technical issues, unusual employee feedback, or external events that may have influenced results.

Get your results

Enter your email — we'll send you a PDF of your filled-out template, plus the occasional MangoScoop newsletter (templates, workflow tips, product updates). Unsubscribe anytime — link is in every email.

Generated with MangoApps Templates — browse 250+ free
Ask AI Product Advisor

Hi! I'm the MangoApps Product Advisor. I can help you with:

  • Understanding our 40+ workplace apps
  • Finding the right solution for your needs
  • Answering questions about pricing and features
  • Pointing you to free tools you can try right now

What would you like to know?