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Phishing Simulation Effectiveness & Feedback Survey

Measures employee perceptions of phishing simulation realism, behavioral responses, confidence changes, and training preferences to help security teams optimize their awareness programs.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

20 questions · ~9 min
Q01
Message

Welcome! This brief survey (approximately 5–7 minutes) asks about your experience with recent phishing simulations at this organization. Your responses are completely confidential and will be reported only in aggregate to improve security awareness training. Participation is voluntary, you may stop at any time, and there are no right or wrong answers—we simply want your honest opinions. Thank you for your time.

Q02
Multiple Choice

Have you ever received a phishing simulation email from this employer?

  • Yes, at this employer
  • Yes, but only at a previous employer
  • No, never
  • Not sure
Q03
Opinion Scale

Overall, how realistic did the most recent phishing simulation feel?

Scale: 17
Min:Not at all realisticMax:Extremely realistic
Q04
Opinion Scale

Before your most recent simulation, how confident were you in your ability to recognize and respond to phishing emails?

Scale: 17
Min:Not at all confidentMax:Extremely confident
Q05
Ranking

Please rank the following training formats from most helpful to least helpful.

  1. Interactive phishing simulations
  2. Short videos (≤3 minutes)
  3. Live workshops or webinars
  4. Job aid or one-page checklist
  5. Email tips or newsletters
  6. Microlearning modules (5–10 minutes)
Drag to rank
Q06
AI Interview

Based on your responses in this survey, what suggestions do you have for improving future phishing simulations or related security training? Please share any specifics.

Q07
Dropdown

On a typical workday, approximately how many emails do you handle?

  • 0–24
  • 25–74
  • 75–149
  • 150+
  • Prefer not to say
Q08
Message

Thank you for participating! Your feedback will directly help us make phishing simulations and security training more relevant and effective.

Q09
Multiple Choice

When was the most recent phishing simulation you recall receiving from this employer?

  • Within the last 7 days
  • 2–4 weeks ago
  • 1–3 months ago
  • More than 3 months ago
  • I don't recall
  • Not applicable—I haven't received one here
Q10
Multiple Choice

Which aspects of the simulation felt realistic? Select all that apply.

  • Sender name and email address
  • Subject line
  • Email body content and tone
  • Visual design and branding
  • Call-to-action (link or attachment)
  • Timing of delivery
  • None of the above
Q11
Opinion Scale

Today, how confident are you in your ability to recognize and respond to phishing emails?

Scale: 17
Min:Not at all confidentMax:Extremely confident
Q12
Multiple Choice

How frequently would you prefer to receive phishing simulations?

  • Twice per month
  • Monthly
  • Every 2 months
  • Quarterly
  • Twice per year
  • Once per year
Q13
Dropdown

Which of the following best describes your primary job function?

  • Engineering/IT
  • Operations
  • Sales
  • Customer Support
  • Human Resources
  • Finance
  • Legal
  • Marketing/Communications
  • Other
  • Prefer not to say
Q14
Multiple Choice

Thinking about your most recent simulation from this employer, what did you do? Select all that apply.

  • Reported it using the reporting tool/process
  • Deleted it without interacting
  • Clicked a link or opened an attachment
  • Replied to the message
  • Ignored it and took no action
  • Asked a colleague or IT for advice
  • Marked it as spam/junk
  • I don't recall
Q15
Opinion Scale

How difficult was it to identify the most recent simulation as a phishing attempt?

Scale: 17
Min:Very easy to identifyMax:Very difficult to identify
Q16
Multiple Choice

What, if anything, did you learn or reinforce from the simulation(s)? Select all that apply.

  • How to use the report button or process
  • How to inspect URLs safely
  • Common red flags to watch for
  • How to verify sender identity
  • To pause and validate urgent requests
  • Where to find internal guidance/resources
  • Nothing new to me
Q17
Dropdown

How long have you worked at this organization?

  • Less than 6 months
  • 6–12 months
  • 1–3 years
  • 3–5 years
  • More than 5 years
  • Prefer not to say
Q18
Multiple Choice

Which cues, if any, did you notice in the simulation? Select all that apply.

  • Suspicious sender or domain
  • Generic greeting or unusual salutation
  • Spelling or grammar errors
  • Urgent or threatening language
  • Unexpected attachment
  • Mismatched or odd-looking URL
  • Unusual request for sensitive data
  • Off-brand visuals or layout
  • Timing felt unusual (e.g., outside business hours)
  • I did not notice any specific cues
Q19
Opinion Scale

In the next 30 days, how likely are you to change any of your email habits based on these simulations (e.g., reporting suspicious messages faster, inspecting links more carefully)?

Scale: 17
Min:Very unlikelyMax:Very likely
Q20
Dropdown

In which region are you primarily based?

  • Americas
  • EMEA
  • APAC
  • Prefer not to say

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • AI follow-ups dynamically probe whether employees actually understand compliance principles, rather than just testing recall with static multiple-choice questions
  • Full transparency: researchers and compliance officers can see exact AI prompts, models, and logic—critical for audit trails and regulatory documentation
  • Academic-grade methodology measures genuine knowledge retention and behavioral transfer, not just satisfaction scores or quiz pass rates
  • AI interviews probe user comprehension of consent language and privacy choices, revealing UX friction points that checkbox forms cannot detect
  • Reproducible research methodology: every prompt and model parameter is logged, making findings defensible for GDPR compliance audits

SurveyMonkey

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What it does well

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Where it falls short

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  • Cannot adapt questioning in real-time based on individual employee responses

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Where it falls short

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  • No AI-powered follow-up to explore why an employee chose a wrong answer or to assess real-world application
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Where it falls short

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Where it falls short

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Where it falls short

  • A consent collection form, not a consent UX evaluation tool—cannot study user perceptions of consent flows
  • No AI-powered interview capabilities to explore user feelings about privacy controls
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  • Static form cannot adapt to explore individual user confusion points about privacy language

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.