Employee Generative AI Usage and Trust Survey Template
Covers four layers—tool availability and authorization, actual usage behavior, object-specific trust, and concern-driven avoidance—for usage baselines, adoption-driver analysis, and governance-readiness checks before AI rollout.
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Please design a structured and executable survey questionnaire for the 'Employee Generative AI Usage and Trust Survey Template'. Research objective: Target employees of organizations that have enabled or plan to enable generative AI tools. Cover four evidence layers—availability and authorization awareness, actual usage behavior (concrete task scenarios and frequency in the past 30 days), object-specific trust (rate trust in tool output, company governance, and job impact separately), and concern-driven avoidance behavior (whether tasks were actively avoided)—plus role background for subgroup comparison. Question type requirements: Generate about 10 questions, including: 1 NPS question (0-10 likelihood of recommending such AI tools to colleagues for work), 1 open-ended question (give an example of a task avoided due to concerns and the alternative used), 2-3 multi-select questions (usage scenario checklist, concern checklist), 3-4 single-choice questions (availability and rules, usage frequency, avoidance behavior, training priority), 1 scale question (rate the three statements on output/governance/job impact from 1-5), and 1 background single-choice question (role type and data sensitivity). Options should reflect real office scenarios; ask about behavior before attitudes. Sample and quality control: Recommend at least 300 responses covering different role types and data-sensitivity segments; run a small soft launch to check that options such as 'unsure whether allowed' are understood. Please output a complete prompt that can be pasted directly into 'Wenjuanpai AI', without any extra explanatory text.

