Q01
Long Text
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LLM Prompt Injection Awareness & Mitigation Practices Survey
Measures developer awareness of prompt injection threats, captures current security mitigation practices, and identifies gaps in LLM application defense. Designed for engineering teams building or evaluating LLM-integrated features.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
24 questions · ~4 min
Q02
Multiple Choice
Which area best describes your primary role?
Q03
Long Text
How confident are you in your personal understanding of prompt injection risks and mitigations?
Q04
Multiple Choice
Which of the following threat vectors do you consider when designing or reviewing LLM features? Select all that apply.
Q05
Multiple Choice
Which of the following prompt injection mitigations has your team adopted? Select all that apply.
Q06
Multiple Choice
In the last 6 months, have you encountered suspected prompt injection or jailbreak activity in your systems?
Q07
Long Text
Rank the following metrics by how much you prioritize them when evaluating prompt injection mitigations (top = highest priority).
Q08
AI Interview
We'd like to explore your experience with LLM security practices in a bit more depth. An AI moderator will ask a couple of follow-up questions based on your earlier responses.
Q09
Multiple Choice
How many years of professional software development experience do you have?
Q10
Long Text
Thank you for completing this survey! Your responses will contribute to a better understanding of LLM security practices across the developer community and help improve secure development guidance.
Q11
Multiple Choice
Which of the following best describes your current involvement with LLM-integrated features?
Q12
Long Text
How well-prepared is your team or organization to defend against prompt injection attacks on your LLM-integrated applications?
Q13
Long Text
Rank the following LLM security concerns from highest to lowest priority for your work.
Q14
Multiple Choice
How often does your team evaluate for prompt injection or jailbreak risks?
Q15
Long Text
Briefly describe the incident and how it was handled. Please omit any sensitive or proprietary information.
Q16
Long Text
What is your biggest obstacle to managing prompt injection risk today?
Q17
Long Text
Based on your responses in this survey, please share any additional thoughts or experiences related to LLM security and prompt injection that we haven't covered. (Optional)
Q18
Multiple Choice
Approximately how many employees are in your organization?
Q19
Multiple Choice
Where have you learned about prompt injection risks and mitigations? Select all that apply.
Q20
Multiple Choice
Which methods does your team use to test for prompt injection vulnerabilities? Select all that apply.
Q21
Multiple Choice
Where are you primarily located?
Q22
Multiple Choice
What is your team's default response policy when LLM input may be unsafe?
Q23
Multiple Choice
Which industry best describes your organization?
Q24
Multiple Choice
Which types of tools or platforms does your team use to mitigate prompt injection risks? Select all that apply.
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.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.