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Employee Engagement, Satisfaction & eNPS Survey

Measures employee job satisfaction, workplace engagement, retention intent, and eNPS to help HR and leadership teams identify drivers of morale and areas for improvement.

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Sample questions

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

20 questions · ~9 min
Q01
Message

Welcome to the Employee Engagement & Satisfaction Survey. This survey is designed to understand your experience at work so we can identify what's going well and where we can improve. Your responses are completely anonymous and will only be reported in aggregate—no individual answers will be shared with your manager or leadership. There are no right or wrong answers; we value your honest opinions. Participation is voluntary and you may stop at any time. The survey takes approximately 5–7 minutes. Thank you for your time and candor.

Q02
Opinion Scale

Overall, how satisfied are you with your current job role?

Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q03
Message

Let's explore some specific aspects of your workplace experience.

Q04
Long Text

Based on the topics covered in this survey, what one or two changes would most improve your experience at work?

Q05
Message

Finally, a few background questions to help us analyze results across groups. Remember, all responses are anonymous.

Q06
Message

Thank you for completing the survey! Your honest feedback is invaluable and will help us make meaningful improvements. All responses will be reviewed in aggregate to protect your anonymity.

Q07
Opinion Scale

How satisfied are you with your current work-life balance?

Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q08
Opinion Scale

I have the tools, resources, and information I need to do my job effectively.

Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q09
AI Interview

Thank you for your responses so far. I'd like to explore your thoughts a bit further. Could you tell me more about what most influences how you feel about working here?

Q10
Multiple Choice

What is your current employment status?

  • Full-time
  • Part-time
  • Contract
  • Temporary
  • Intern
  • Other
  • Prefer not to say
Q11
Opinion Scale

How likely are you to recommend this organization as a place to work to a friend or colleague?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q12
Opinion Scale

I feel psychologically safe to share ideas and concerns with my team.

Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q13
Dropdown

Which department do you primarily work in?

  • Operations
  • Sales
  • Marketing
  • Engineering
  • Product
  • Customer Support
  • HR
  • Finance
  • Other
  • Prefer not to say
Q14
Opinion Scale

I intend to stay at this organization for the next 12 months.

Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q15
Opinion Scale

My direct manager supports my growth and success at work.

Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q16
Dropdown

How long have you worked at this organization?

  • Less than 6 months
  • 6–12 months
  • 1–2 years
  • 3–5 years
  • 6–10 years
  • More than 10 years
  • Prefer not to say
Q17
Opinion Scale

I see clear opportunities for professional development and career growth here.

Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q18
Multiple Choice

What is your typical work arrangement?

  • On-site
  • Hybrid
  • Remote
  • Other
  • Prefer not to say
Q19
Multiple Choice

Which of the following motivate you most at work? (Select up to 3)

  • Recognition and appreciation
  • Compensation and benefits
  • Career growth and learning
  • Work environment and culture
  • Team collaboration and relationships
  • Meaningful and impactful work
  • Flexibility and autonomy
  • Other (please specify)
Q20
Dropdown

What is your age range?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • 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 Template

SurveyMonkey'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 + Research

Qualtrics 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 Surveys

Jotform 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 Template

Well-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 Template

Visually 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

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