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Workplace AI Coaching: Adoption & Impact Survey

Measures employee adoption rates, perceived impact, barriers, and enablers of AI coaching tools for writing, communication, and meetings. Designed for HR and L&D teams evaluating AI coaching ROI and rollout strategy.

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Sample questions

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24 questions · ~11 min
Q01
Message

Welcome to this survey on AI coaching tools in the workplace. We're interested in your honest experiences and opinions about AI-powered tools that assist with writing, communication, and meetings. There are no right or wrong answers — we want to hear your perspective. Your responses are confidential and will be reported in aggregate only. Participation is voluntary, and you may stop at any time. This survey takes approximately 5–7 minutes to complete.

Q02
Multiple Choice

In the past 4 weeks, have you used any AI-powered tools that assist with writing, communication, or meetings at work (e.g., grammar assistants, tone analyzers, meeting summarizers)?

  • Yes
  • No
Q03
Dropdown

In the past 4 weeks, how often did you use AI coaching tools at work?

  • Daily
  • A few times per week
  • About once per week
  • Less than weekly
Q04
Opinion Scale

How open are you to trying an AI coaching tool for work writing or meetings in the next 3 months?

Scale: 1 – 7
Min:Not at all openMax:Extremely open
Q05
Opinion Scale

How valuable do you think AI coaching for writing, communication, and meetings would be for your work over the next 3 months?

Scale: 1 – 7
Min:Not at all valuableMax:Extremely valuable
Q06
Multiple Choice

What concerns, if any, do you have about using AI coaching at work? Select all that apply.

  • Data privacy or confidentiality
  • Inaccurate or made-up content
  • Compliance or legal risk
  • Loss of personal voice or authenticity
  • Bias or fairness issues
  • Extra time to review outputs
  • Tool reliability or stability
  • Team or manager acceptance
  • Cost or licensing
  • None of the above
  • Other (please specify)
Q07
AI Interview

Based on your responses in this survey, please share any additional thoughts or experiences about AI coaching tools at work.

Q08
Dropdown

What is your primary job function?

  • Engineering or IT
  • Product or Design
  • Data or Analytics
  • Sales
  • Marketing or Communications
  • Customer Support or Success
  • Operations or Finance
  • HR or People
  • Legal or Compliance
  • Other/Multiple
Q09
Message

Thank you for completing this survey. Your responses are confidential and will help shape our approach to AI coaching tools in the workplace. We appreciate your time.

Q10
Multiple Choice

Which of the following AI coaching uses have you tried at work in the past 4 weeks? Select all that apply.

  • Drafting emails or chats
  • Revising tone or clarity
  • Summarizing meeting notes
  • Generating meeting agendas or prompts
  • Creating presentation outlines
  • Practicing speaking or delivery feedback
  • Extracting or suggesting action items
  • Other (please specify)
Q11
Opinion Scale

How likely are you to recommend AI coaching tools to a colleague?

Scale: 1 – 7
Min:Not at all likelyMax:Extremely likely
Q12
Multiple Choice

Which best describes your team's current guidance on using AI tools at work?

  • Clear written policy
  • Some informal guidance
  • No guidance
  • Not sure
Q13
Dropdown

What is your role level?

  • Individual contributor
  • People manager
  • Director
  • Executive
Q14
Opinion Scale

Compared to not using AI coaching, how has it affected the quality of your written communication (emails, chats, documents)?

Scale: 1 – 7
Min:Much worseMax:Much better
Q15
Ranking

Rank the following outcomes from most to least valuable to you personally.

  1. Save time on writing
  2. Improve clarity and tone
  3. Fewer or shorter meetings
  4. Better follow-through and action items
  5. Stronger presentation delivery
Drag to rank
Q16
Multiple Choice

Which of the following would help you get more value from AI coaching tools at work? Select all that apply.

  • Clear use-case examples or templates
  • Hands-on training, workshops, or office hours
  • Built into tools I already use (email, docs, meetings)
  • Privacy and data security guidance
  • Manager endorsement or team norms
  • Access to approved, vetted tools
  • Success stories or recommendations from colleagues
  • No additional cost to me or my team
  • None of the above
  • Other (please specify)
Q17
Dropdown

Approximately how many people are in your immediate team?

  • 1–5
  • 6–10
  • 11–25
  • 26–50
  • 51+
Q18
Opinion Scale

Compared to not using AI coaching, how has it affected the clarity of your verbal or presentation communication?

Scale: 1 – 7
Min:Much worseMax:Much better
Q19
Dropdown

How long have you worked at your current company?

  • Less than 6 months
  • 6–12 months
  • 1–2 years
  • 3–5 years
  • More than 5 years
Q20
Opinion Scale

Compared to not using AI coaching, how has it affected the efficiency of your meetings?

Scale: 1 – 7
Min:Much worseMax:Much better
Q21
Dropdown

Where do you primarily work?

  • On-site
  • Hybrid
  • Remote
Q22
Opinion Scale

Compared to not using AI coaching, how has it affected the amount of time you spend on writing and communication tasks?

Scale: 1 – 7
Min:Much more timeMax:Much less time
Q23
Dropdown

What region do you primarily work in?

  • North America
  • Latin America
  • Europe
  • Middle East or Africa
  • Asia
  • Oceania
Q24
Opinion Scale

Compared to not using AI coaching, how has it affected your confidence in the quality of your work output?

Scale: 1 – 7
Min:Much less confidentMax:Much more confident

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
  • Affordable academic pricing makes it accessible for the university researchers studying AI adoption who are priced out of 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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