Collecting feedback in AI communities can feel daunting, but clear prompts make it easy. These templates help you spark valuable conversations, learn what your members think, and shape your community to better serve everyone.
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Requesting feedback is one of the best ways to make community members feel heard and valued. When people see their opinions can influence the direction of the community or the development of AI resources, they become more invested and engaged. Open-ended feedback also uncovers insights you might never have considered, leading to richer discussions and stronger group cohesion.
AI is a rapidly evolving field, and the needs and interests of your members can shift quickly. By regularly soliciting feedback, you ensure your offerings stay relevant and responsive. This practice demonstrates transparency, builds trust, and encourages even quieter members to contribute in ways that feel safe and meaningful.
What is one AI tool you wish existed but have not seen yet?
💡 Example: "What is one AI tool you wish existed but have not seen yet?"
How has our community helped you learn about AI recently? Share an example.
💡 Example: "How has our community helped you learn about AI recently? Share an example."
What feature would you add to our next AI event?
💡 Example: "What feature would you add to our next AI event?"
If you could improve one aspect of our AI resources, what would it be?
💡 Example: "If you could improve one aspect of our AI resources, what would it be?"
Which AI topics should we cover more often?
💡 Example: "Which AI topics should we cover more often?"
What is your biggest challenge with AI right now?
💡 Example: "What is your biggest challenge with AI right now?"
Tell us about an AI resource you found valuable and why.
💡 Example: "Tell us about an AI resource you found valuable and why."
How do you prefer to learn about new AI trends? Poll or comment below.
💡 Example: "How do you prefer to learn about new AI trends? Poll or comment below."
What is one thing you would change about our AI discussions?
💡 Example: "What is one thing you would change about our AI discussions?"
Share your favorite AI use case you have seen this month.
💡 Example: "Share your favorite AI use case you have seen this month."
What questions do you wish we asked more often about AI?
💡 Example: "What questions do you wish we asked more often about AI?"
Is there an AI topic you feel is missing from our community?
💡 Example: "Is there an AI topic you feel is missing from our community?"
How can we make our AI resource library more useful to you?
💡 Example: "How can we make our AI resource library more useful to you?"
What is the most confusing AI term you have come across lately?
💡 Example: "What is the most confusing AI term you have come across lately?"
Have you tried any new AI tools this week? Which ones and what did you think?
💡 Example: "Have you tried any new AI tools this week? Which ones and what did you think?"
What would make you participate more in our AI community?
💡 Example: "What would make you participate more in our AI community?"
Which AI experts would you like to hear from in a future AMA?
💡 Example: "Which AI experts would you like to hear from in a future AMA?"
What is one thing you appreciate about our AI community?
💡 Example: "What is one thing you appreciate about our AI community?"
Do you prefer text or video content for AI tutorials? Tell us why.
💡 Example: "Do you prefer text or video content for AI tutorials? Tell us why."
How can we help you stay up to date with the latest AI news?
💡 Example: "How can we help you stay up to date with the latest AI news?"
What motivates you to learn more about AI?
💡 Example: "What motivates you to learn more about AI?"
Share feedback on our recent AI event. What went well and what could improve?
💡 Example: "Share feedback on our recent AI event. What went well and what could improve?"
What would you like to see in our next AI newsletter?
💡 Example: "What would you like to see in our next AI newsletter?"
How do you use AI in your daily life or work?
💡 Example: "How do you use AI in your daily life or work?"
Is there a type of AI event you wish we hosted more often?
💡 Example: "Is there a type of AI event you wish we hosted more often?"
What is your favorite AI application right now?
💡 Example: "What is your favorite AI application right now?"
Tell us which AI topics you find too advanced or confusing.
💡 Example: "Tell us which AI topics you find too advanced or confusing."
How do you feel about the pace of AI advancements?
💡 Example: "How do you feel about the pace of AI advancements?"
What would make our AI guides easier to follow?
💡 Example: "What would make our AI guides easier to follow?"
Share your thoughts on ethical issues in AI. What concerns you most?
💡 Example: "Share your thoughts on ethical issues in AI. What concerns you most?"
How often would you like to see AI challenges or contests?
💡 Example: "How often would you like to see AI challenges or contests?"
Are there any AI tools you want tutorials for? Let us know.
💡 Example: "Are there any AI tools you want tutorials for? Let us know."
What is one barrier to using AI products you have faced?
💡 Example: "What is one barrier to using AI products you have faced?"
Would you recommend our AI community to a friend? Why or why not?
💡 Example: "Would you recommend our AI community to a friend? Why or why not?"
How do you stay motivated to keep up with new AI developments?
💡 Example: "How do you stay motivated to keep up with new AI developments?"
What is your go-to resource for learning about AI?
💡 Example: "What is your go-to resource for learning about AI?"
Let us know if you want more beginner or advanced AI content.
💡 Example: "Let us know if you want more beginner or advanced AI content."
What time of day works best for live AI events?
💡 Example: "What time of day works best for live AI events?"
How can we better support your AI projects?
💡 Example: "How can we better support your AI projects?"
Share one tip for someone new to AI.
💡 Example: "Share one tip for someone new to AI."
What type of AI meetup would you join next?
💡 Example: "What type of AI meetup would you join next?"
Pick a template that fits your current topic or feature, personalize it with your community's context, and post it across your chosen platform. Encourage responses by engaging with every reply and highlighting valuable input. Rotate templates to keep feedback requests fresh and interesting. Use the feedback you receive to inform future updates, and always thank members for participating.
These templates are designed for all platforms. Whether you are posting in a forum, Slack, Discord, or elsewhere, keep your prompts clear and concise. Pin important feedback posts where possible, use threads or channels for organization, and encourage private messages for sensitive feedback.
You can adapt the provided templates to specifically ask about members' challenges and successes with LLM deployment—such as latency issues, fine-tuning methods, or model hallucinations. Encourage users to share metrics, infrastructure setups, and post-deployment monitoring techniques relevant to LLMs.
Leverage templates that prompt members to share examples or case studies of bias they’ve encountered in training data or model output. Include prompts for discussing mitigation strategies, such as data augmentation or fairness-aware algorithms, and ask for resources or tools fellow practitioners have found effective.
Customize feedback prompts to ask members how they interpret model decisions, which XAI techniques they’ve adopted (e.g., SHAP, LIME), and where interpretability has impacted real-world deployment. Facilitate threads where users can share visualization tools, best practices, or unresolved challenges in making AI outputs transparent.
Yes. Use the templates to target specific aspects of the AI development lifecycle—like experiment tracking, model versioning, or CI/CD for ML. Encourage both engineers and non-engineers to share pain points and tool preferences (e.g., MLflow, Kubeflow, DVC), ensuring the feedback captures a range of perspectives.
Modify feedback posts to ask about members’ policies or concerns regarding AI-generated content, such as deepfakes or automated text. Include questions about detection tools, moderation workflows, and compliance with AI ethics guidelines or emerging regulations, ensuring nuanced community debate.
Utilize event-specific templates to solicit input on topics like the relevance of discussed research papers (e.g., transformer architectures, prompt engineering), preferred formats for hackathons (team vs. individual), and the effectiveness of knowledge sharing. Ask members for suggestions on future AI subfields or competitions they’d like to see explored.
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