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AI Tool Adoption in Research Teams

A survey studying how research teams evaluate, adopt, and integrate AI tools for data collection, analysis, and reporting. This instrument measures current tool usage, evaluation criteria, adoption barriers, training experiences, data quality perceptions, and team collaboration patterns.

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Template Overview

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Sample Survey Items

Q1
Chat Message
Welcome, and thank you for your interest in this study. We are conducting research to better understand how research teams use technology tools in their work. Your participation is completely voluntary, and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions and experiences. All responses are confidential, will be anonymized, and reported only in aggregate. Results will be used for internal research purposes. This survey takes approximately 10-14 minutes to complete. By continuing, you confirm that you understand the above and agree to participate.
Q2
Multiple Choice
Are you currently a member of a team that conducts research activities (e.g., data collection, analysis, or reporting) as part of your work?
  • Yes
  • No
Q3
Multiple Choice
Which of the following best describes your team's primary research focus?
  • Market research
  • Academic / scientific research
  • User experience (UX) research
  • Policy / social research
  • Data science / analytics
  • Clinical / health research
  • Other (please specify)
Q4
Multiple Choice
Which of the following tools does your research team currently use on a regular basis? (Select all that apply)
  • Spreadsheet software (e.g., Excel, Google Sheets)
  • Statistical software (e.g., SPSS, R, Stata)
  • Survey platforms (e.g., Qualtrics, SurveyMonkey)
  • Qualitative analysis tools (e.g., NVivo, Atlas.ti)
  • Data visualization tools (e.g., Tableau, Power BI)
  • Project management tools (e.g., Asana, Trello)
  • Reference management tools (e.g., Zotero, Mendeley)
  • Coding/programming environments (e.g., Python, Jupyter)
  • AI-powered tools (e.g., ChatGPT, Copilot, Jasper)
  • Other (please specify)
Q5
Multiple Choice
Has your team used any AI-powered tools for research purposes in the past 12 months?
  • Yes
  • No
  • I'm not sure
Q6
Multiple Choice
Which AI-powered tools has your team used for research? (Select all that apply)
  • Large language models (e.g., ChatGPT, Claude, Gemini)
  • AI coding assistants (e.g., GitHub Copilot, Cursor)
  • AI-powered survey/interview tools (e.g., QuestionPunk)
  • AI data analysis tools (e.g., Julius AI, DataRobot)
  • AI transcription/note-taking (e.g., Otter.ai, Fireflies)
  • AI writing/editing assistants (e.g., Grammarly AI, Jasper)
  • AI image/media generation tools
  • AI-powered literature review tools (e.g., Elicit, Semantic Scholar)
  • Other (please specify)
Q7
Multiple Choice
Which stage best describes your team's current level of AI tool adoption for research?
  • Unaware — We haven't considered AI tools for research
  • Aware — We know about AI tools but haven't tried any
  • Exploring — We are experimenting with AI tools on a trial basis
  • Implementing — We are actively integrating AI tools into some research workflows
  • Embedded — AI tools are a standard part of our research process
Q8
Ranking
When evaluating an AI tool for research use, please rank the following criteria from most important (1) to least important (7).
Drag to order (top = most important)
  1. Accuracy and reliability of outputs
  2. Ease of use and learning curve
  3. Data security and privacy compliance
  4. Integration with existing tools and workflows
  5. Cost and licensing
  6. Transparency of how the AI works
  7. Vendor support and documentation
Q9
Opinion Scale
How important is each of the following when your team evaluates AI tools for research?
  1. Accuracy and reliability of outputs
  2. Ease of use and learning curve
  3. Data security and privacy compliance
  4. Integration with existing tools
  5. Cost and licensing
  6. Transparency of AI methods
  7. Vendor support and documentation
Range: 1 – 5
Min: Not at all importantMid: NeutralMax: Extremely important
Q10
Opinion Scale
To what extent have each of the following been barriers to AI tool adoption in your research team?
  1. Budget or cost constraints
  2. Lack of technical skills on the team
  3. Concerns about data privacy or security
  4. Skepticism about AI output quality
  5. Resistance to change from team members
  6. Lack of organizational support or policy
  7. Difficulty integrating with existing workflows
  8. Uncertainty about ethical implications
Range: 1 – 5
Min: Not a barrier at allMid: NeutralMax: A major barrier
Q11
AI Interview
You mentioned some barriers to AI adoption. Can you describe the most significant challenge your team has faced when trying to adopt or consider AI tools for research?
AI InterviewLength: 3Personality: [Object Object]Mode: Fast
Reference questions: 4
Q12
Multiple Choice
Has your team received any formal training on using AI tools for research?
  • Yes, comprehensive training
  • Yes, but only introductory or basic training
  • No, but training is planned
  • No, and no training is planned
Q13
Opinion Scale
How would you rate the quality of AI-related training your team has received?
Range: 1 – 7
Min: Very poorMid: NeutralMax: Excellent
Q14
Multiple Choice
Which of the following training formats would be most useful for your team to learn AI research tools? (Select up to 3)
  • Hands-on workshops with live practice
  • On-demand video tutorials
  • Written guides or documentation
  • Peer-led knowledge sharing sessions
  • Vendor-provided onboarding and demos
  • Online courses or certifications
  • Mentoring or coaching from AI-experienced colleagues
  • Other (please specify)
Q15
Opinion Scale
Compared to traditional (non-AI) research methods, how would you rate the quality of outputs produced by AI-powered research tools?
Range: 1 – 7
Min: Much lower qualityMid: NeutralMax: Much higher quality
Q16
Opinion Scale
How confident are you in the accuracy of data collected or analyzed using AI tools?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q17
Opinion Scale
To what extent do you agree or disagree with the following statements about AI tools and research quality?
  1. AI tools help reduce human error in data analysis
  2. AI tools can introduce new types of bias into research
  3. I trust AI-generated outputs enough to include them in final reports without extensive manual review
  4. AI tools make it easier to replicate research processes
  5. The lack of transparency in how AI tools work concerns me
Range: 1 – 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q18
Multiple Choice
How does your team typically make decisions about which AI tools to adopt?
  • Individual team members choose their own tools
  • Team lead or manager decides for the team
  • Collaborative team decision through discussion
  • IT or technology department mandates tools
  • Organization-wide policy dictates tool choices
  • Other (please specify)
Q19
Multiple Choice
How frequently does your team share knowledge or best practices about AI tools with each other?
  • Daily
  • A few times a week
  • About once a week
  • A few times a month
  • Rarely
  • Never
Q20
Opinion Scale
To what extent has the introduction of AI tools changed how your team collaborates on research projects?
Range: 1 – 7
Min: Significantly worsened collaborationMid: NeutralMax: Significantly improved collaboration
Q21
Opinion Scale
Overall, how satisfied is your team with the AI tools currently used in your research workflow?
Range: 1 – 7
Min: Not at all satisfiedMid: NeutralMax: Extremely satisfied
Q22
Opinion Scale
How likely is your team to expand its use of AI tools for research in the next 12 months?
Range: 1 – 7
Min: Not at all likelyMid: NeutralMax: Extremely likely
Q23
Long Text
Based on your responses throughout this survey, please share any additional thoughts or feelings about how AI tools are shaping research in your team or field.
Max chars
Q24
Dropdown
Which of the following best describes your role within your research team?
  • Principal investigator / Lead researcher
  • Senior researcher / Analyst
  • Junior researcher / Research assistant
  • Research manager / Director
  • Data scientist / Engineer
  • Research operations / Coordinator
  • Other (please specify)
Q25
Multiple Choice
How many people are on your research team?
  • 1-3
  • 4-7
  • 8-15
  • 16-30
  • More than 30
Q26
Dropdown
Which sector does your organization primarily operate in?
  • Technology / Software
  • Healthcare / Pharmaceuticals
  • Financial services
  • Education / Academia
  • Government / Public sector
  • Consulting / Professional services
  • Consumer goods / Retail
  • Media / Entertainment
  • Nonprofit / NGO
  • Other (please specify)
Q27
Multiple Choice
How many years of experience do you have in research?
  • Less than 1 year
  • 1-3 years
  • 4-7 years
  • 8-15 years
  • More than 15 years
Q28
Chat Message
Thank you for completing this survey! Your responses are valuable and will help us understand how research teams are navigating the adoption of AI tools. Your responses have been recorded and will remain confidential. If you have any questions about this study, please contact the research team at the email provided in your invitation.

Frequently Asked Questions

What is QuestionPunk?
QuestionPunk is an AI-powered survey and research platform that turns traditional surveys into adaptive conversations. Describe your research goal and get a complete survey draft, conduct AI-moderated interviews with dynamic follow-ups, detect low-quality responses, and produce insights automatically. It's fast, flexible, and scalable across qualitative and quantitative research.
How do I create my first survey?
Sign up, then choose how to build: describe your research goal and let AI generate a survey, pick a template, or start from scratch. Add question types, set logic, preview, and share.
Can the AI generate a survey from a prompt?
Yes. Describe your research goal in plain language and QuestionPunk drafts a complete survey with appropriate question types, ordering, and AI follow-up logic. You can then customize before publishing.
What question types are available?
QuestionPunk supports a wide range of question types: opinion scale, rating, multiple choice, dropdown, ranking, matrix, constant sum, AI interview (text and audio), long text, short text, email, phone, date, address, website, numeric, audio/video recording, contact form, chat message, conversation reset, button, page breaks, and more.
How do AI interviews work?
AI interviews conduct adaptive conversations with respondents. The AI asks follow-up questions based on what the respondent says, probing for clarity and depth. You control the personality, tone, model (Haiku, Sonnet, or Opus), and question mode (fixed count, AI decides when to stop, or time-based).
Can I test my survey before launching?
Yes. Use synthetic testing to create AI personas and run them through your survey. This helps catch issues with question flow, logic, and wording before real respondents see it.
How many languages are supported?
QuestionPunk supports 142+ languages. Add languages from the survey editor, auto-translate questions, and share language-specific links. AI interviews also adapt to the respondent's language automatically.
How can I share my survey?
Share via a direct link (with optional custom slug), embed on your website (iframe or script), distribute through Prolific for research panels, or generate a QR code for physical distribution.
Can I export survey results?
Yes. Export as CSV (flat or wide layout), Excel (XLSX), or export the survey structure as PDF/Word. Filter by suspicious level, response type, language, or date range before exporting.
Does QuestionPunk detect fraudulent responses?
Yes. Every response is automatically classified with a suspicious level (low/medium/high) based on attention checks, response timing, and behavioral signals. You can filter flagged responses in the Responses tab.
What are the pricing plans?
Basic (Free): 20 responses/month. Business ($50/month or $500/year): 5,000 responses/month with priority support. Enterprise (Custom): unlimited responses, remove branding, custom domain, and dedicated support.
How long does support take to reply?
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