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TechnologyGenerated accuracy model review: 2026-05-06
Phishing Simulation Pass-Rate Calculator accuracy and testing
This page documents how Calwarden builds trust for this calculator: source notes, regression-style default tests, limitations, assumptions, unit handling, rounding, and visible change history.
Formula source
- Pass rate = (sent - unique failures) / sent. Unique failures are approximated as clicks plus credential submissions, capped at sent.
Test cases
Default input regression check
Generated from the checked-in default inputs and calculate function.
Inputs
- Emails Sent: 500
- Clicked Users: 45
- Submitted Credentials: 8
- Reported Users: 120
Expected outputs
- Pass Rate: 89.40%
- Click Rate: 9.00%
- Credential Submission Rate: 1.60%
- Report Rate: 24.00%
Known limitations
- This page documents the checked-in calculator logic and does not certify results for every real-world edge case.
- Use the result as a planning estimate unless the calculator page states a stricter purpose.
Assumptions
- Inputs are user-entered because pricing, deadlines, policies, and technical limits vary.
- Calculations run locally in your browser and do not store passwords, incidents, network designs, or security program data.
- This is planning math, not security assurance, legal advice, or a substitute for testing.
Unit handling
- Emails Sent accepts numeric values.
- Clicked Users accepts numeric values.
- Submitted Credentials accepts numeric values.
- Reported Users accepts numeric values.
- Pass Rate is displayed as a percentage.
- Click Rate is displayed as a percentage.
- Credential Submission Rate is displayed as a percentage.
- Report Rate is displayed as a percentage.
Rounding rules
- Number displays use up to 2 decimal places in the calculator UI.
- Percent outputs are displayed with two decimal places.
- Input precision follows configured step values where provided.
Version history
1.0.0 - 2026-05-06
Generated accuracy and testing page from the current phishing-simulation-pass-rate-calculator calculator definition.
Change log
2026-05-06
Published default regression test documentation and metadata fallbacks for Phishing Simulation Pass-Rate Calculator.
Calculator transparency
Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.