Collecting real feedback from nurses using AI is vital, but it can be tough to spark open, honest conversations. Our ready-to-use Community Feedback templates make it easy to invite opinions, suggestions, and experiences that help shape your group and its resources.
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Community Feedback posts create a channel for members to share their real experiences, needs, and challenges. This not only helps leaders understand what matters most but also empowers nurses to be active stakeholders in how AI tools are used and improved. When members see their input leading to real changes, trust grows and participation increases.
Psychologically, people are more likely to engage when they feel their voices are heard and valued. Open-ended questions and encouragement lower barriers for both outspoken and quieter members, inviting a range of perspectives. Structured feedback posts also help surface issues or ideas that leadership may not have anticipated, driving innovation from within the community.
What is one challenge you face when using AI tools during your shifts?
💡 Example: "One challenge I face is getting real-time support from the AI during emergencies."
How has AI impacted your daily nursing workflow? Share your story.
💡 Example: "AI has made charting faster for me, but sometimes it misses key patient notes."
We are considering new AI features. What would help you most in patient care?
💡 Example: "An AI tool that anticipates medication needs would be very helpful."
What concerns do you have about using AI in nursing? Let us know.
💡 Example: "I worry about patient data privacy with new AI systems."
Which AI resource or training did you find most useful this month?
💡 Example: "The quick video on AI charting shortcuts was very helpful."
If you could change one thing about our AI tools, what would it be?
💡 Example: "I would make the voice recognition more accurate."
Do you feel confident using AI for patient triage? Why or why not?
💡 Example: "I feel confident, but sometimes the recommendations are too generic."
On a scale of 1-10, how helpful is our current AI support? Please explain.
💡 Example: "I would rate it a 7. It's good, but could be faster."
What is one thing you wish you knew before starting with AI in nursing?
💡 Example: "I wish I knew how customizable the AI settings are."
Share a positive outcome you experienced thanks to AI in your practice.
💡 Example: "AI helped me catch a medication error before it reached the patient."
Is there a feature you never use in our AI tools? Tell us why.
💡 Example: "I never use the scheduling assistant because it is too complicated."
What do you need to feel more supported when learning new AI features?
💡 Example: "Step-by-step video guides would help me a lot."
Have you noticed any issues with accuracy in our AI? Please describe.
💡 Example: "Sometimes the AI misinterprets handwritten notes."
What makes you hesitant to use new AI tools in your workflow?
💡 Example: "Uncertainty about how it affects patient safety makes me hesitant."
Can you suggest a topic for our next AI training or Q and A session?
💡 Example: "A session on integrating AI with EHR systems would be great."
How do you prefer to receive updates about new AI tools or features?
💡 Example: "I prefer email summaries with key points."
What is the biggest benefit you have seen from using AI in patient care?
💡 Example: "Faster charting frees up more time for direct patient interaction."
If you could ask an AI developer anything, what would it be?
💡 Example: "How do you ensure the AI adapts to real nursing scenarios?"
Share one thing that frustrates you about using AI in your current role.
💡 Example: "The AI sometimes slows down during peak hours."
What would make you more likely to recommend our AI resources to others?
💡 Example: "If there were more peer-led tutorials, I would recommend them."
Do you feel your feedback is acted on? What could we do better?
💡 Example: "I see some changes, but more regular updates would help."
How do you balance AI recommendations with your clinical judgment?
💡 Example: "I use AI as a guide but always check with my experience."
What worries, if any, do patients express about AI in their care?
💡 Example: "Some patients worry that AI will replace nurses."
If you could vote for the next AI tool we test, what should it do?
💡 Example: "A tool for real-time language translation would be my vote."
What time of day do you find it easiest to try new AI features?
💡 Example: "I prefer early mornings before my shift gets busy."
What type of AI support would make night shifts smoother for you?
💡 Example: "A quick-reference symptom checker would help at night."
Tell us about a time AI saved you time or made your work easier.
💡 Example: "AI flagged a missing allergy note before medication rounds."
How would you like us to celebrate members who give great feedback?
💡 Example: "Maybe a monthly spotlight or small reward would be nice."
Is there anything about our AI tools that confuses you?
💡 Example: "I get confused about which icon means what in the dashboard."
What feedback do you have about our AI onboarding process?
💡 Example: "More hands-on practice during onboarding would help."
Share a tip you learned from another nurse about using AI.
💡 Example: "A colleague showed me how to set up alerts for lab results."
What questions do you still have about AI in our workplace?
💡 Example: "I want to know how AI decisions are reviewed by management."
How can we make AI training more accessible for all shifts?
💡 Example: "Offering recorded sessions would help night shift workers."
What is your biggest hope for the future of AI in nursing?
💡 Example: "I hope AI can reduce paperwork and let us spend more time with patients."
Have you had any privacy concerns using our AI platforms?
💡 Example: "I am not sure how my data is stored when I use the AI chat."
If you could teach one thing about AI to new nurses, what would it be?
💡 Example: "I would show them how to double-check AI alerts for accuracy."
Tell us about a feature you wish our AI platform had.
💡 Example: "I wish there was a quick way to compare patient histories."
What kind of AI training format works best for your learning style?
💡 Example: "I learn best with short, interactive modules."
How do you like to provide feedback about AI tools: public posts or private messages?
💡 Example: "I feel more comfortable giving feedback in private messages."
What terms or language about AI would you like us to explain better?
💡 Example: "Please explain what machine learning means in our daily work."
To use these templates, simply copy and paste your chosen prompt into your community platform. Adapt the topic or details to fit your current focus, whether it's a new AI tool, a process change, or ongoing support. Encourage responses by tagging members, pinning posts, or summarizing and acting on feedback. Always follow up on what you learn to show members their input makes a difference.
On all platforms, keep feedback prompts concise and focused. Use features like polls, pinned posts, or direct messages to highlight feedback opportunities. Encourage participation by regularly sharing outcomes from previous feedback and tagging or thanking contributors.
Posting feedback prompts weekly or after significant updates keeps engagement high without overwhelming members.
Acknowledge all feedback, even if you cannot reply in detail to every comment. Summarize and thank members regularly.
Ask simple, specific questions and offer private ways to respond like direct messages or anonymous forms.
Share a summary of key takeaways and explain any actions you will take. This builds trust and shows that feedback matters.
Thank members for honest input, stay professional, and use criticism as an opportunity to improve the community or tools.
These templates work in all settings, including forums, live chats, meetings, and surveys. Adapt wording as needed.
Try tagging specific members, following up privately, or experimenting with different question styles to boost participation.