Employee Cyber Security Survey Questions (Free Template)
Run a short, repeatable employee cyber security survey to spot the biggest human-risk gaps: phishing handling, MFA (multi-factor authentication), remote work habits, data handling, and incident reporting culture. Copy/paste the core questions, add role-based branches, and use the simple scoring plan to pick 1-2 fixes you can implement in the next 30-60 days.
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When to Run an Employee Cyber Security Survey (3 best moments)
Onboarding checkpoint (30-60 days)
Goal: Confirm every new hire knows the basics (MFA, password manager, device lock, and how to report a suspicious message) before habits set. Default: Send a 5-10 minute survey at day 45 to all employees and long-term contractors who received an account. Customize: If you issue devices late or have multiple identity systems, move this to the first week after credentials are issued and add 1 question on tool access (for example, "I can access the password manager on all my work devices").
Invite script (copy/paste): "Please take 5-10 minutes to answer this cyber security survey. This is not a test and it is not used for performance reviews. Your answers help us fix confusing policies, remove friction in security tools, and improve training. If something is unclear, choose 'Not sure'."
Quarterly pulse (especially after policy or tool changes)
Goal: Track trend lines on a stable set of core questions and catch regressions after new tools, new vendors, or policy updates. Default: Run the same core module once per quarter and rotate only 1-2 optional modules (for example, remote work or data handling). Customize: If you just changed email security banners, MFA prompts, or reporting buttons, add 2 questions that check clarity and friction for the changed tool.
Reminder schedule: Send 2 reminders to non-responders (for example, day 3 and day 7). Keep the subject line consistent so people recognize it. Follow-up contacts typically lift completion rates, so plan reminders up front and calendar them before you send the first invite (reminder strategies that increase follow-up response rates).
Post-training or post-phishing simulation (2-4 weeks later)
Goal: Test what stuck and what is still confusing after training or a simulation. Default: Wait 2-4 weeks, then ask the same 5-8 core items plus the one module that matches the training topic. Customize: If the event targeted specific groups (finance, executives, developers), branch so only those groups see the deeper questions.
Optional alignment checkbox: If you need to document your awareness program, cross-reference your survey cadence and training feedback loop to NIST SP 800-50 (Building an Information Technology Security Awareness and Training Program).
Who Should Take This Survey (and how to sample safely)
Goal: Choose a respondent list that reflects real day-to-day risk while protecting individuals in small teams. Default: Include all employees and long-term contractors who have company accounts or managed devices. Customize: If you have a large workforce, run an all-staff baseline once, then pulse a stratified sample each quarter (while keeping the same core questions).
Default segmentation to set up this week: Add department/function, location, role level, tenure band (0-6 months, 6-24 months, 2+ years), and a simple access indicator (for example, "admin or production access: yes/no"). Use segments to find patterns, not to "name and shame."
- All-staff baseline: Run once to establish your starting point and to normalize that the survey is routine.
- Oversample higher-risk functions: Add extra completes from finance/AP, executive assistants, IT/help desk, engineers with production access, and customer support teams that handle identity or sensitive data.
- Keep comparisons fair: Report results as percentages and trends, not raw counts, and avoid comparing teams with very different exposure.
Watch out: Department-by-location cuts can expose individuals even if you never ask for names. Set minimum sample size and subgroup thresholds before you build dashboards, suppress small cells, and roll up categories (for example, combine small offices into a "Small sites" bucket). Use standard disclosure-control tactics like aggregation and suppression when the numbers get small (Statistics Canada's disclosure control guidance), and lock down raw data access to a short list of admins (best practices for data protection in modern digital surveys).
Ready to lock your question set and branching so the right people see the right module?
Ready-to-Copy Employee Cyber Security Survey Questions (core + optional modules)
Goal: Copy/paste a core pulse module you can trend each quarter, then add 1-2 optional modules based on current risks. Default: Ask everyone the core 10-14 items on a 5-point agreement scale, then branch into role-based add-ons. Customize: If guessing is likely, add a "Not sure" option to reduce missing data and forced answers (evidence on reducing missing data with improved response options).
Scale default (copy/paste): Strongly disagree / Disagree / Neither / Agree / Strongly agree + Not sure. For more patterns you can reuse across behaviors and confidence, see Likert scale question examples for behavior and confidence.
Branching rules (simple): If "I work remotely 2+ days/week" = Yes, show the Remote/Hybrid module. If "I handle customer/personal data" = Yes, show the Data Handling module. If "I write or deploy code" = Yes, show the Developer add-on.
"I know exactly how to report a suspicious email, message, or phone call."
Why it matters: Fast reporting beats perfect detection. If people do not know the path, you lose time.
When to use: Core pulse (ask everyone, every quarter). If scores are low, add a 1-minute how-to and a single "report" button in the tools people already use.
"If I accidentally click something suspicious, I feel safe reporting it quickly without fear of blame."
Why it matters: Fear delays reporting. Delays turn small mistakes into bigger incidents.
When to use: Core pulse. If this drops, run a manager script and update messaging to be non-punitive and barrier-focused.
"I can recognize common phishing signs (urgent payment requests, unexpected login prompts, or mismatched links)."
Why it matters: This is your fast read on social engineering confidence without turning the survey into a quiz.
When to use: Core pulse. If confidence is high but simulation failure is also high, add a scenario item or targeted micro-training for high-risk groups.
"In the past 30 days, I reported at least one suspicious email/message (or I would know how to if I received one)."
Why it matters: This blends exposure with behavior and gives you a baseline for reporting volume expectations.
When to use: Core pulse. If "would know how" is high but actual reporting is near zero, investigate tool friction and unclear criteria for "suspicious."
"Using MFA (multi-factor authentication) is straightforward in the tools I use most."
Why it matters: "We require MFA" is not the same as "people can use MFA without workarounds."
When to use: Core pulse. If low, fix the top 1-2 friction points (lost device process, roaming, backup factors) before adding more training.
"I use approved tools (for example, password manager and secure file sharing) instead of workarounds."
Why it matters: Workarounds are often a signal of friction, not bad intent.
When to use: Core pulse. If low, follow up with a barrier question: "What gets in the way?" (choices: hard to use, slow, missing access, does not work on mobile, not sure what is approved).
"I understand the rules for storing and sharing sensitive data in my role."
Why it matters: Confusion drives risky storage (personal email, unapproved drives) and inconsistent handling.
When to use: Core pulse (ask everyone), then branch deeper only for people who handle customer or personal data.
"Security policies and tool instructions are easy to find when I need them."
Why it matters: If people cannot find the rule in the moment, they will improvise.
When to use: Core pulse. If low, publish a single "start here" page and link it inside key tools (email client, ticketing, intranet).
"The security training I received in the last 90 days was relevant to my daily work."
Why it matters: Relevance drives attention and behavior change more than generic content.
When to use: Core pulse (or right after training). If low, replace long modules with 3-5 minute, role-specific micro-lessons.
Optional modules (add 4-8 questions each): Pick the module that matches your top risk this quarter, then act on the lowest-scoring item in that module.
"When I get an unexpected invoice or payment change request, I know the verification step I must follow."
Why it matters: Payment fraud hits fast and often targets finance and executive support roles.
When to use: Role add-on for finance/AP and executive admins. If low, publish a 3-step verification checklist and require a second channel (known phone number, not the email thread).
"When working remotely, I keep work conversations and files on approved apps (not personal email or personal cloud storage)."
Why it matters: Remote work increases the temptation to switch tools when VPNs or device controls feel slow.
When to use: Branch to remote/hybrid staff. If low, fix the friction point (access, speed, mobile support) before repeating training.
Remote-heavy orgs: Add a broader pulse from the remote and hybrid work survey template if you also need to measure home-office setup, collaboration, and support (separate from security behavior).
"I know what data is considered sensitive in my role (customer data, employee data, financial data, source code, etc.)."
Why it matters: Classification clarity is the gateway to correct storage, sharing, and retention behavior.
When to use: Ask everyone, then branch follow-ups for people who handle sensitive data. If low, publish 5-10 concrete examples by role and where each should live.
"In the last 90 days, I noticed something that seemed risky (a near-miss), and I knew what to do next."
Why it matters: Near-misses are early warnings. You want signal without forcing confessions.
When to use: Optional culture module. If responses are low, add a lightweight "report a concern" path and remind people you want early flags, not perfect certainty.
"I have the access and support I need to do my work securely (for example, approved tools, permissions, and quick help)."
Why it matters: Lack of access is a top driver of shadow IT and insecure workarounds.
When to use: Optional operations module. If low, route results to IT/security ops to fix provisioning, approvals, and support SLAs.
Safe wording checklist (use in every module):
- Ask about barriers: "What gets in the way of reporting quickly?" not "Why didn't you report?"
- Use time windows: "past 30 days" or "past 90 days" to reduce vague recall.
- Add "Not sure" where guessing is likely (policies, classification, reporting paths).
- Offer non-punitive response choices (friction, unclear rules, missing access).
Avoid (do not ask): Passwords, MFA codes, security question answers, exact incident details, names of people involved, or any question that forces an identifiable admission of wrongdoing. Use scenario-based and barrier-focused items instead.
Anonymous vs Confidential vs Identified: Which mode gets the most honest answers?
| Collection mode | Expected candor on sensitive behaviors | Follow-up ability (tickets, coaching, training) | Re-identification risk | Ease of segmented reporting |
|---|---|---|---|---|
| Anonymous (no identifiers collected) | Highest for mistakes, near-misses, and "what gets in the way" items | Low (no individual outreach; follow up at team/org level) | Lower, but still watch metadata and small groups | Good at high level; limited for small segments |
| Confidential (identifiers exist, access restricted; results reported in aggregates) | Medium-high if you clearly separate survey data from performance management | Medium-high (you can target support by role/location without naming people in reports) | Medium (requires strict access control and aggregation rules) | Best balance for role/location comparisons (with minimum-n) |
| Identified (names/emails attached to responses) | Lowest for sensitive behaviors; people self-censor | Highest (direct follow-up is possible) | Highest (treat as sensitive HR/security data) | Easy, but risky to share broadly |
Decision rule you can apply today: Choose anonymous mode for reporting culture, near-misses, and barrier questions. Choose confidential mode when you need reliable segmentation and you can enforce aggregation rules. Choose identified mode only for opt-in follow-up (for example, a separate final question: "I want help setting up the password manager -- add my email"), not for the whole survey.
Watch out: Privacy conditions change what people disclose. If you want honest reporting about mistakes and uncertainty, avoid identified collection for those items (randomized evidence that privacy conditions affect disclosure of sensitive information).
Communicate data handling in the invite: State who can see raw data, how results are aggregated, your retention window, and that results are not used for performance reviews. Keep the wording short and link employees to privacy and data-handling best practices for employee surveys for details.
Minimum-n reporting note: Suppress small teams and small location cuts, and aggregate categories before sharing dashboards to reduce re-identification risk (practical disclosure control methods for small cells).
How to Score Results and Turn Findings Into a 30-60 Day Action Plan
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Define 3-5 simple indices you will trend each quarter
Goal: Turn dozens of answers into a few scores leaders can act on. Default: Build 5 indices: Phishing readiness, Reporting readiness, Data handling clarity, Remote-work hygiene, and Training usefulness. Customize: If you do not have much remote work, drop that index and add one for "Access and support" (tool access, permissions, help speed).
- Phishing readiness: recognition confidence + knows report path + recent reporting behavior
- Reporting readiness: psychological safety + clarity of reporting steps + barrier items
- Data handling clarity: knows what is sensitive + knows where to store/share
- Remote-work hygiene: approved tools at home + device basics (lock, updates)
- Training usefulness: relevance + clarity + time burden
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Code favorable answers and compute percent favorable per index
Action: For each question, label which responses count as favorable (for example, Agree/Strongly agree, or "Yes"). Treat "Not sure" as not favorable for knowledge/clarity items so uncertainty shows up as a gap. Then compute percent favorable for each index and each segment you plan to report.
Watch out: Do not over-weight a single item. Keep 3-6 questions per index and keep the same wording across pulses.
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Segment results safely and suppress small groups
Action: Break out scores by department/function, location, role level, and tenure. Set a minimum group size before you publish results, then roll up or suppress small cuts. Keep raw comments (if you collect them) restricted to a small admin group.
Default: Share only index scores and top barriers with managers, not item-by-item "gotchas."
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Convert the lowest index into a 30-60 day fix list
Action: For each department, pick the lowest index and assign 1-2 fixes that remove friction. Keep the fixes concrete and easy to ship.
- Micro-training: 3-5 minutes on one behavior (for example, verifying payment change requests)
- Policy clarification: a one-page "What counts as sensitive data in our org" with 10 examples
- Tool change: a simpler report button, a clearer MFA recovery flow, or faster password manager onboarding
- Manager talking points: a script that reinforces non-punitive reporting and how to escalate
Watch out: If your top barrier is "I do not have access," treat it as an ops problem first, not a training problem.
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Re-pulse in 30-60 days using the same core items
Action: Re-run the core module with the same wording and scoring, then compare percent favorable by index and segment. Rotate only the optional module that matches your fix (for example, if you improved reporting buttons, keep the reporting module).
Optional controls alignment (for compliance stakeholders): Document your survey cadence, training changes, and trend improvements as evidence for awareness expectations in ISO/IEC 27001:2022 (see Annex A control 6.3 on awareness, education, and training). Keep the standards mapping as a checkbox, not the main story.
Frequently Asked Questions
How long should an employee cyber security survey be?
Default to a 5-10 minute core pulse (about 15-25 closed-ended questions) so you can run it quarterly and still get strong completion. Add optional modules only for relevant groups (for example, remote staff or people who handle customer data) to keep most employees under 10 minutes.
Should this survey be anonymous?
Choose anonymous mode when you want the most honest answers about reporting culture, near-misses, and "what gets in the way" barriers. Choose confidential mode when you need segmentation and targeted support while still protecting individuals in reporting. Use identified responses only as opt-in for follow-up help, and do not promise anonymity if small teams or metadata could identify someone.
What should we never ask in a cyber security survey?
Avoid passwords, MFA codes, security answers, exact incident details, or anything that forces an identifiable admission of wrongdoing. Ask safer alternatives like scenario-based choices, confidence items, and barrier-focused questions ("What stopped you from reporting quickly?") with a "Not sure" option.
How often should we run it and what should stay the same each time?
Run it at three moments: 30-60 days after onboarding, quarterly as a pulse, and 2-4 weeks after training or a phishing simulation. Keep a stable set of core questions unchanged each quarter so you can trend results, then rotate 1-2 optional modules based on current risks.
How do we score the results without overcomplicating it?
Create 3-5 indices (for example, Phishing readiness, Reporting readiness, Data handling clarity, Remote-work hygiene, Training usefulness) and track percent favorable for each. Use a simple red/yellow/green view for leaders, and prioritize the lowest index per department for a 30-60 day fix.
What is the minimum group size for reporting results by department or location?
Set a minimum-n threshold before you publish dashboards, then suppress or aggregate any group below that threshold. If a department-by-location cut gets too small, roll it up (for example, combine small sites) to reduce re-identification risk while keeping results useful.
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