Return-to-Office Policy Impact & Readiness Survey
Measures employee sentiment, productivity perceptions, and fairness attitudes toward return-to-office policies. Designed for HR and People teams to identify friction points, gauge readiness, and inform hybrid work policy decisions.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Which of the following best describes your current work arrangement?
- Fully remote (no in-office days)
- Hybrid (some days in the office, some remote)
- Fully in-office (five days in the office)
In a typical week, how many days would you prefer to work in the office?
- 0 days
- 1 day
- 2 days
- 3 days
- 4 days
- 5 days
Thinking about the past 30 days, how productive did you feel when working remotely?
In the past 30 days, how has the current RTO policy affected your morale?
We'd like to understand your RTO experience in more depth. Could you describe a recent workweek and how the current policy shaped your day-to-day experience?
The following questions help us understand patterns across different groups. All items are optional and responses are never reported for groups smaller than five people.
Thank you for completing this survey. Your feedback is valuable and will directly inform our workplace policy decisions. Results will be shared in aggregate with the organization.
Who primarily decides which days you work in the office?
- I choose my in-office days
- My manager decides
- Team rotation or schedule
- Company-mandated specific days
- It varies week to week
- Not applicable — I am fully remote
Which of the following would make in-office days more valuable for you? Select all that apply.
- Quieter focus spaces
- More small meeting rooms or phone booths
- Ergonomic workstations
- Reliable video-conferencing rooms for hybrid meetings
- Commute subsidy or transit pass
- Parking support
- Food and coffee options
- On-site childcare support
- Clear goals or agendas for in-office days
- Nothing additional needed
Thinking about the past 30 days, how productive did you feel when working in the office?
How clear are the current RTO guidelines for your team?
- Very clear
- Somewhat clear
- Somewhat unclear
- Very unclear
- I am not aware of any RTO guidelines
Based on your responses in this survey, please share any additional thoughts or suggestions about our return-to-office approach.
How long have you worked at the company?
- Less than 6 months
- 6–11 months
- 1–2 years
- 3–5 years
- 6–10 years
- 11+ years
- Prefer not to say
In a typical week over the past 30 days, how many days did you work in the office?
- 0 days
- 1 day
- 2 days
- 3 days
- 4 days
- 5 days
Please rank the following factors by how much they influence your preferred work location. Drag to reorder (1 = most important).
- Commute time and cost
- Ability to focus without interruptions
- Quality of in-person collaboration
- Work–life balance
- Access to equipment or secure systems
- Visibility with leaders and peers
Which activities are typically better for you to do in the office? Select all that apply.
- Brainstorming and ideation
- Team workshops or sprint planning
- Client or stakeholder meetings
- One-on-ones and coaching
- Onboarding or training
- Accessing specialized equipment or secure data
- Career visibility and serendipitous interactions
- Focused deep work
- None of the above
The RTO policy is applied fairly across teams and roles.
Which function best describes your role?
- Engineering / IT
- Product / Design / UX
- Sales
- Marketing
- Customer Support / Success
- Operations / Supply Chain
- Finance / Legal
- HR / People
- Other
- Prefer not to say
My manager supports flexibility within the current RTO policy.
What is your current level?
- Individual contributor
- People manager
- Senior leader / executive
- Contractor / fixed-term
- Intern / apprentice
- Prefer not to say
Leadership has clearly communicated the reasons behind the RTO policy.
What is your employment status?
- Full-time
- Part-time
- Fixed-term / contractor
- Prefer not to say
Where are you primarily based?
- North America
- Europe
- Asia–Pacific
- Latin America
- Middle East / Africa
- Other
- Prefer not to say
What is your age group? (Optional)
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
How do you describe your gender? (Optional)
- Woman
- Man
- Non-binary
- Another gender identity
- 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 interviews dynamically adapt based on whether respondents are early adopters, skeptics, or non-users—capturing qualitative depth at quantitative scale
- A generous free tier and affordable plans fit university research budgets, unlike enterprise-locked Qualtrics
- Every AI parameter is logged for replication—critical for the peer-reviewed AI adoption research that competitors' tools cannot support
- AI follow-up questions probe beyond surface-level Likert ratings to uncover root causes of disengagement—something no static survey can do
- Full transparency: every prompt, model, and logic flow is visible to HR researchers, unlike competitor 'black box' AI features
SurveyMonkey
AI Readiness Assessment TemplateSurveyMonkey's AI Readiness Assessment is the closest match—evaluating employee AI awareness, training needs, and current tool usage. Solid for organizational readiness but doesn't specifically measure feature-level adoption, trust, or perceived value of AI capabilities.
What it does well
- Covers employee awareness, comfort levels, and perceived impacts of AI
- Includes risk, compliance, and ethical considerations alongside adoption questions
- Fully customizable with branding, and AI-powered analysis suite for open-ended responses
Where it falls short
- Focused on organizational readiness, not specific AI feature adoption or value perception
- No conversational AI follow-ups to explore trust barriers or adoption hesitancy in depth
- SurveyMonkey's own AI tools (Build with AI, analysis) operate as black boxes—no prompt or model transparency
- No validated trust measurement scales—uses general readiness questions rather than academic trust constructs
Qualtrics
Qualtrics XM for Strategy + ResearchQualtrics publishes extensive research on AI trust gaps (e.g., their State of AI in Employee Experience report analyzing 35,000+ employees) but doesn't offer this as a self-serve template. Their conversational feedback feature is the most competitive AI-interview capability in the market.
What it does well
- Conversational feedback uses generative AI to generate follow-up questions during live surveys—respondents contribute 40% more information
- Own research demonstrates deep expertise in AI trust measurement at organizational scale
- 23 question types including video/audio responses with advanced logic branching
Where it falls short
- No public pre-built AI feature adoption or trust survey template—requires custom building
- Pricing starts at $420/month, making it inaccessible for academic researchers and small teams
- Conversational feedback AI is not researcher-configurable—no access to prompts, no model selection, no parameter logging
- Enterprise-focused platform creates unnecessary complexity for straightforward adoption studies
Jotform
Technology SurveysJotform offers 100+ technology survey templates including some AI-adjacent ones (AI-Augmented Learning Perception, Healthcare AI Bias Awareness, Public Perception of Health AI Tools), but none specifically targeting AI feature adoption and trust in a product or workplace context.
What it does well
- Largest volume of AI-adjacent survey templates among competitors (100+ technology surveys)
- Free plan available with drag-and-drop customization and conditional logic
- Separate AI Agents product offers conversational survey experiences with NLP
Where it falls short
- No dedicated AI feature adoption or trust survey template—closest options are domain-specific (healthcare, education)
- AI Agents are a separate product from form templates—not integrated into survey methodology
- No academic methodology validation, no rubric checking, no scale construction guidance
- AI Agent training is opaque—no visibility into prompts, models, or reasoning logic for researchers
SurveyMonkey
Employee Engagement Survey TemplateWell-established template with benchmarking capabilities and expert-written questions across motivation, leadership, growth, recognition, and culture themes. Strong analytics with filters and crosstabs, but fundamentally limited to static question-and-answer format.
What it does well
- Industry benchmarking data to compare scores against other organizations
- Standardized 5-point Likert scale with built-in scoring methodology
- Extensive customization and segmentation by team or location
Where it falls short
- No AI-powered follow-up questions to explore the 'why' behind low scores
- Static survey format cannot adapt to individual employee responses in real-time
- AI features limited to survey creation assistance, not actual respondent interaction
Typeform
Employee Engagement Survey TemplateVisually appealing one-question-at-a-time conversational format that improves completion rates. Strong UX and branding customization, but the 'conversational' experience is still pre-scripted—it doesn't actually listen and adapt like AI.
What it does well
- Beautiful, conversational one-question-at-a-time interface that feels less like a survey
- Strong integrations with Slack, Microsoft Teams, and 300+ tools
- Excellent mobile experience with no app downloads required
Where it falls short
- No AI follow-up probes—conversational format is just UX, not intelligent adaptation
- No transparent AI methodology—no visible prompts or logic for researchers to audit
- Limited survey methodology rigor—focuses on design over academic-grade question construction
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.