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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.

Sample questions

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

28 questions · ~4 min
Q01
Long Text

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.

Q02
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?

Q03
Multiple Choice

Which of the following best describes your team's primary research focus?

Q04
Long Text

When evaluating an AI tool for research use, please rank the following criteria from most important (1) to least important (7).

Q05
Long Text

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

Q06
Multiple Choice

Has your team received any formal training on using AI tools for research?

Q07
Long Text

Compared to traditional (non-AI) research methods, how would you rate the quality of outputs produced by AI-powered research tools?

Q08
Multiple Choice

How does your team typically make decisions about which AI tools to adopt?

Q09
Long Text

Overall, how satisfied is your team with the AI tools currently used in your research workflow?

Q10
Long Text

Which of the following best describes your role within your research team?

Q11
Long Text

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.

Q12
Multiple Choice

Which of the following tools does your research team currently use on a regular basis? (Select all that apply)

Q13
Long Text

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

Q14
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?

Q15
Long Text

How would you rate the quality of AI-related training your team has received?

Q16
Long Text

How confident are you in the accuracy of data collected or analyzed using AI tools?

Q17
Multiple Choice

How frequently does your team share knowledge or best practices about AI tools with each other?

Q18
Long Text

How likely is your team to expand its use of AI tools for research in the next 12 months?

Q19
Multiple Choice

How many people are on your research team?

Q20
Multiple Choice

Has your team used any AI-powered tools for research purposes in the past 12 months?

Q21
Multiple Choice

Which of the following training formats would be most useful for your team to learn AI research tools? (Select up to 3)

Q22
Long Text

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

Q23
Long Text

To what extent has the introduction of AI tools changed how your team collaborates on research projects?

Q24
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.

Q25
Long Text

Which sector does your organization primarily operate in?

Q26
Multiple Choice

Which AI-powered tools has your team used for research? (Select all that apply)

Q27
Multiple Choice

How many years of experience do you have in research?

Q28
Multiple Choice

Which stage best describes your team's current level of AI tool adoption for research?

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.

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.