Question & request studio
Find what viewers still want answered.
Group questions and content requests from a bounded YouTube comment sample. Review the source evidence before deciding what to answer or create next.
Research workspace
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Clusters group similar intent from a bounded public sample. Review original comments and existing replies before calling a question unanswered.
A practical guide
Useful feedback can be buried between reactions, short jokes and repeated praise. A question-and-request workflow helps you separate viewers asking for an explanation from viewers asking for another topic, comparison or tutorial. This tool uses a bounded public comment sample and groups similar intents into clusters you can inspect.
Choose a video whose discussion is relevant to your next decision. Sign in, request the analysis quote and review the cost before starting.
After the run finishes, switch between the two result tabs. Read the cluster label and the reported evidence counts instead of treating every repeated word as a distinct need.
Open the evidence for a cluster to check wording and context. Decide whether it needs a reply, clarification in a description, a FAQ entry or a future video.
A question asks for information, such as how a setting works. A request proposes something the creator could make, such as a beginner tutorial or a comparison. The same comment can contain both. Reviewing the evidence helps you avoid confusing a casual mention with a clear request.
Start with recurring questions that have enough context to answer responsibly. Keep the original wording beside any draft response. Some questions can be answered in a comment; others need a demonstration or a full video. The cluster view organizes research rather than proving that the current video does not already answer a question.
A request such as a tutorial for older devices is more actionable than a broad topic label. Compare the evidence with your channel’s focus, then record the problem, intended audience and useful format in your own planning notes. Do not assume a cluster guarantees views or reflects the entire audience.
Results depend on the collected source data and analysis scope. Similar wording can be grouped, and an empty result can mean the sample did not contain enough clear evidence. The current UI focuses on one-video analysis and evidence review; automated replies, scheduling and channel-wide monitoring are not part of this page’s workflow.
The AI analysis groups question and request intent. This differs from the downloader’s literal question-mark filter, which is useful for a quick export but does not classify meaning.
Treat clusters as items to review. Check the video and existing replies before calling a question unresolved. The page does not certify that an answer is absent.
AI analysis requires a CommentlySenseAI account and available credits. You can review the quote before committing to a run.
This page helps you find and inspect questions and requests. It does not post replies to YouTube.
Check the source scope and try a video with a more substantive discussion. An empty sample result is not evidence that your viewers have no questions.
AI credits
Find recurring audience needs and review the comments behind each opportunity.
Free utility
Export a bounded collection of public comments for your own research.
AI credits
Turn available captions into an overview and key points with source evidence.