Getting real feedback from your AI Video community can be tough, but it is key to building features and resources your members truly want. These templates make it easy to spark open, honest feedback on any platform, helping you unlock valuable insights and keep your community engaged.
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Community feedback posts empower members to share their genuine opinions, making them feel seen and valued. This trust-building approach encourages more participation, as people are more likely to engage when they know their input can directly influence future decisions.
By asking open-ended questions and showing curiosity about varied perspectives, you tap into the collective expertise and creativity of your community. These posts not only surface helpful ideas and feature requests but also deepen members' sense of ownership and belonging within the group.
What AI video feature would make your workflow easier?
💡 Example: "What AI video feature would make your workflow easier? Let us know your ideas below!"
How do you use AI video tools in your daily projects?
💡 Example: "How do you use AI video tools in your daily projects? Share your routine!"
Which recent AI video update helped you the most?
💡 Example: "Which recent AI video update helped you the most? Tell us your pick."
Is there a part of our AI video platform that confuses you?
💡 Example: "Is there a part of our AI video platform that confuses you? We'd love to help."
What would you change about our video export options?
💡 Example: "What would you change about our video export options? Share your thoughts."
Tell us about a challenge you faced with AI video editing.
💡 Example: "Tell us about a challenge you faced with AI video editing. We want to learn!"
Which AI video effect do you wish existed?
💡 Example: "Which AI video effect do you wish existed? Dream big!"
How satisfied are you with the current AI video speed?
💡 Example: "How satisfied are you with the current AI video speed?"
What is one thing that would make our AI video tutorials better?
💡 Example: "What is one thing that would make our AI video tutorials better? Let us know!"
Share your favorite AI video trick or shortcut.
💡 Example: "Share your favorite AI video trick or shortcut in the comments!"
What would you add to our resource library for AI video creators?
💡 Example: "What would you add to our resource library for AI video creators?"
How can we improve onboarding for new AI video users?
💡 Example: "How can we improve onboarding for new AI video users? Suggestions welcome!"
What frustrates you most about AI video editing right now?
💡 Example: "What frustrates you most about AI video editing right now? Tell us below."
Which AI video export formats do you need most often?
💡 Example: "Which AI video export formats do you need most often?"
If you could automate any step in your video workflow, what would it be?
💡 Example: "If you could automate any step in your video workflow, what would it be? Share below."
What is missing from our AI video help docs?
💡 Example: "What is missing from our AI video help docs? Your feedback helps us improve."
How do you feel about the current AI video pricing?
💡 Example: "How do you feel about the current AI video pricing?"
What is your biggest win using AI video tools?
💡 Example: "What is your biggest win using AI video tools? Celebrate with us!"
Which device do you use most for AI video editing?
💡 Example: "Which device do you use most for AI video editing? Laptop, desktop, or mobile?"
What advanced AI video features do you want to see next?
💡 Example: "What advanced AI video features do you want to see next? Tell us your wishlist."
Have you recommended our AI video tools to others? Why or why not?
💡 Example: "Have you recommended our AI video tools to others? Why or why not?"
What support channels would help you most with AI video issues?
💡 Example: "What support channels would help you most with AI video issues? Let us know."
How intuitive do you find our AI video interface?
💡 Example: "How intuitive do you find our AI video interface?"
Share a feature you discovered by accident in our AI video tool.
💡 Example: "Share a feature you discovered by accident in our AI video tool!"
What kind of AI video content do you want to see in upcoming webinars?
💡 Example: "What kind of AI video content do you want to see in upcoming webinars?"
Which AI video templates do you use most often?
💡 Example: "Which AI video templates do you use most often?"
What is the hardest part of learning AI video editing?
💡 Example: "What is the hardest part of learning AI video editing? Your feedback matters."
If you could ask developers for one AI video change, what would it be?
💡 Example: "If you could ask developers for one AI video change, what would it be? Share your wish."
Do you prefer more automation or manual control in AI video tools?
💡 Example: "Do you prefer more automation or manual control in AI video tools?"
What other AI video communities do you enjoy and why?
💡 Example: "What other AI video communities do you enjoy and why? Looking for inspiration!"
How do you stay updated on AI video trends?
💡 Example: "How do you stay updated on AI video trends?"
What accessibility features would you like in our AI video platform?
💡 Example: "What accessibility features would you like in our AI video platform? Share your needs."
Which part of the AI video process should we simplify next?
💡 Example: "Which part of the AI video process should we simplify next? Tell us!"
What integrations do you wish our AI video tool had?
💡 Example: "What integrations do you wish our AI video tool had? Let us know."
How does our AI video tool compare to others you have tried?
💡 Example: "How does our AI video tool compare to others you have tried?"
What feature do you use most in our AI video editor?
💡 Example: "What feature do you use most in our AI video editor?"
What is the best feedback you have heard in this community?
💡 Example: "What is the best feedback you have heard in this community? Share your favorite."
What kind of AI video collaboration tools would help your team?
💡 Example: "What kind of AI video collaboration tools would help your team? Let us know."
Are there any AI video topics you want us to cover next month?
💡 Example: "Are there any AI video topics you want us to cover next month? Suggest below!"
To get the most from these templates, post them regularly and at key moments, such as after a feature launch or when planning new content. Adapt the templates to your community's style and goals, and always acknowledge responses with appreciation. Summarize and share the feedback received to show members their voices are shaping your AI Video community.
Since these templates work across all platforms, customize your intro and closing lines to fit the culture of each space. Use polls, threads, or story features where available to boost visibility. On chat-based platforms, pin feedback prompts for easy access. Always follow up publicly with results or planned actions so members feel heard regardless of the platform.
When crafting feedback questions, reference recognizable AI video tools or features such as 'masking with generative fill,' 'automatic scene detection,' or 'text-to-video synthesis.' For example, ask: 'What has been your experience using auto-captioning in [tool name]?' or 'Which AI-driven color grading features do you rely on, and why?' This approach helps members share actionable insights and fosters tool-specific discussions.
Use targeted questions like: 'How reliable have you found the AI moderation in detecting inappropriate content or deepfakes?' or 'Have you experienced false positives or negatives with our automated moderation system?' This encourages nuanced feedback on a key AI video challenge, allowing you to identify pain points in current moderation algorithms.
Create comparison-focused prompts such as: 'For those who have tried both, how does the realism of AI-generated voiceovers in [tool/platform] compare to human voice actors?' or 'Which scenarios do you prefer using AI voices, and where do you still opt for traditional recordings?' This directs community members to provide detailed, scenario-based feedback relevant to voice synthesis—a core AI video topic.
Pose scenario-based feedback requests such as: 'Have you encountered artifacts or loss of detail when using AI upscaling tools for old footage?' or 'Which AI restoration models have best preserved color accuracy in your experience?' This helps surface common frustrations or successes with advanced features unique to AI video workflows.
Structure questions like: 'Have you noticed any recurring biases in the types of video recommendations our AI serves you?' or 'Do you feel the AI adequately reflects the diversity of creators and styles you're interested in?' This invites critical reflection on algorithmic fairness—a major concern in AI-powered video communities.
Ask for workflow-specific experiences, such as: 'How seamlessly do AI tools handle integrating subtitles, audio tracks, and visual effects in your projects?' or 'Which parts of your pipeline still require manual intervention despite available multimodal AI tools?' These prompts elicit detailed feedback on the evolving intersection of multiple AI technologies in video production.
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