Gathering feedback is essential for any thriving AI Agency community, but knowing what to ask and how can be challenging. These ready-to-use community feedback templates make it easy to invite open, actionable input from your members. Use them to spark meaningful conversations and guide your agency's evolution.
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Community feedback templates work because they lower the barrier for participation, making it simple for members to share their thoughts. By framing questions in an open and curious tone, you show members their opinions are valued and can directly influence the direction of the community and agency offerings. This sense of ownership boosts engagement and loyalty.
Soliciting feedback also uncovers insights you might otherwise miss. Members often spot friction points or new opportunities before leadership does. When community managers regularly request input, it builds a culture of trust where everyone feels empowered to contribute, leading to stronger relationships and better outcomes for the agency.
Which AI tool or feature do you wish our agency would offer next?
💡 Example: "Which AI tool or feature do you wish our agency would offer next?"
How can we improve your experience with our AI community resources?
💡 Example: "How can we improve your experience with our AI community resources?"
What is one challenge you face when using AI in your work?
💡 Example: "What is one challenge you face when using AI in your work?"
Have you tried our latest AI tool? Share your honest feedback.
💡 Example: "Have you tried our latest AI tool? Share your honest feedback."
What topics should we cover in our next AI webinar or workshop?
💡 Example: "What topics should we cover in our next AI webinar or workshop?"
If you could change one thing about our community, what would it be?
💡 Example: "If you could change one thing about our community, what would it be?"
How do you stay up to date with AI trends?
💡 Example: "How do you stay up to date with AI trends?"
What makes you come back to our community?
💡 Example: "What makes you come back to our community?"
Which AI content formats do you prefer: articles, videos, or live sessions?
💡 Example: "Which AI content formats do you prefer: articles, videos, or live sessions?"
Can you share your favorite success story using our AI solutions?
💡 Example: "Can you share your favorite success story using our AI solutions?"
What is the biggest barrier to adopting AI in your organization?
💡 Example: "What is the biggest barrier to adopting AI in your organization?"
How helpful is our AI knowledge base? What is missing?
💡 Example: "How helpful is our AI knowledge base? What is missing?"
Which AI trend excites you the most for this year?
💡 Example: "Which AI trend excites you the most for this year?"
What would make our AI events more valuable to you?
💡 Example: "What would make our AI events more valuable to you?"
Is there an AI problem you wish we could solve? Tell us about it.
💡 Example: "Is there an AI problem you wish we could solve? Tell us about it."
How easy is it to connect with other AI professionals here?
💡 Example: "How easy is it to connect with other AI professionals here?"
What feedback do you have on our latest AI newsletter?
💡 Example: "What feedback do you have on our latest AI newsletter?"
Which part of our AI platform do you find most confusing?
💡 Example: "Which part of our AI platform do you find most confusing?"
How likely are you to recommend our AI agency to a colleague?
💡 Example: "How likely are you to recommend our AI agency to a colleague?"
What AI topics do you want us to explore in future guides?
💡 Example: "What AI topics do you want us to explore in future guides?"
Share one improvement you would love to see in our AI agency.
💡 Example: "Share one improvement you would love to see in our AI agency."
Did you find our onboarding materials helpful? What could be better?
💡 Example: "Did you find our onboarding materials helpful? What could be better?"
What motivates you to participate in AI discussions here?
💡 Example: "What motivates you to participate in AI discussions here?"
How well does our community support your AI learning goals?
💡 Example: "How well does our community support your AI learning goals?"
What is the most valuable thing you have learned from us?
💡 Example: "What is the most valuable thing you have learned from us?"
If you could add one new channel or topic, what would it be?
💡 Example: "If you could add one new channel or topic, what would it be?"
How do you prefer to give feedback: polls, posts, or direct messages?
💡 Example: "How do you prefer to give feedback: polls, posts, or direct messages?"
What features should we prioritize for our next AI platform update?
💡 Example: "What features should we prioritize for our next AI platform update?"
How comfortable are you sharing your AI projects here?
💡 Example: "How comfortable are you sharing your AI projects here?"
What would help you connect with more AI experts in this community?
💡 Example: "What would help you connect with more AI experts in this community?"
Share your thoughts on our community guidelines. Are they clear and helpful?
💡 Example: "Share your thoughts on our community guidelines. Are they clear and helpful?"
What is missing in our AI agency's support offerings?
💡 Example: "What is missing in our AI agency's support offerings?"
What is your favorite way to learn about new AI tools?
💡 Example: "What is your favorite way to learn about new AI tools?"
How do you rate the responsiveness of our team to your questions?
💡 Example: "How do you rate the responsiveness of our team to your questions?"
What feedback do you have on our recent AI community challenge?
💡 Example: "What feedback do you have on our recent AI community challenge?"
Tell us about a feature you rarely use and why.
💡 Example: "Tell us about a feature you rarely use and why."
What would make you feel more included or heard in this AI community?
💡 Example: "What would make you feel more included or heard in this AI community?"
How can we recognize or reward valuable contributions better?
💡 Example: "How can we recognize or reward valuable contributions better?"
What is one thing you wish you knew when you joined our AI agency?
💡 Example: "What is one thing you wish you knew when you joined our AI agency?"
What feedback do you have for our community managers?
💡 Example: "What feedback do you have for our community managers?"
Would you like to see more peer-led AI sessions or expert-led ones?
💡 Example: "Would you like to see more peer-led AI sessions or expert-led ones?"
To get the most from these templates, choose prompts that align with current projects, features, or pain points. Mix up the frequency and format to keep feedback fresh and engaging. Post them as standalone threads, pin them for maximum visibility, or include them in newsletters. Always acknowledge responses and summarize key insights to show members their feedback matters.
Since these templates work across all platforms, tailor your approach based on the channel. In forums, use feedback threads and polls. On chat platforms, keep questions concise and tag relevant members. For social media, use interactive features like stories or Q&A stickers to boost responses.
Aim to post feedback prompts regularly, such as once a week or after major events or launches. This encourages an ongoing culture of input.
Use simple, low-pressure prompts and reassure members that all feedback is welcome. Consider anonymous polls or private feedback options.
Acknowledge all input, thank contributors, and summarize key insights. Share any changes or improvements made as a result of their suggestions.
Yes, these templates are designed for use across forums, chat platforms, social media, newsletters, and more. Adapt the format to fit your platform.
Respond respectfully, thank members for their honesty, and address their concerns. Negative feedback is valuable for continuous improvement.
Try rephrasing the question, tagging specific members, or using a different format like polls. Review timing and platform to maximize visibility.
Absolutely. Members are more likely to participate in the future if they see their feedback leads to real discussion and visible action.
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