Arrow Bring real customer language
Paste an anonymized extract from messages, call notes or reviews. Keep a representative time period and retain a reference in your own records so the team can inspect the source.
Free tool02 / Demand from conversations ↗Your customers already
Your customers already
have your next content brief.
Turn pasted support notes, sales conversations or reviews into a question inventory. See repeated wording, inspect suggested intent and leave with a content planning file.
Your inputs
Find questions worth answering.
Paste plain text, ideally one speaker turn or question per line. English and French starters are recognized. Remove personal details first. Up to 150,000 characters and 200 distinct questions.
Fictional property-diagnostics data for demonstration. These are not France DPE results or business facts.
Method / 02A useful result.
Compare these questions with your Search Console export ↗
A useful result.
A method you can inspect.
Compare these questions with your Search Console export ↗Separate repeated wording from new questions
The tool extracts question-mark sentences and recognizes common English and French question starters on lines without punctuation. Matching wording is grouped; semantic paraphrases remain separate.
Use the inventory to make a decision
Download the counts, review the suggested intent and choose whether to improve an existing answer, write a focused guide or fix an operational step. Frequency is one input to that decision.
Calculation rules & scope
Question detection and intent suggestions use transparent text rules, not a language model. Counts refer only to occurrences in the text you supplied. The extractor cannot infer search volume, customer importance, unique people, sentiment or a complete conversation context. Speaker labels and sentence boundaries can affect extraction; inspect the result before using it.
Across industries, from question to action.
In a property-diagnostics journey, preparation and timing questions can reveal missing service-page information. In ecommerce, returns questions may point to unclear conditions. In software, setup questions may call for a help article or a better onboarding step. The useful next action can be a workflow change as well as a new page.
For the property-diagnostics example, explore the France DPE case study: public source quality and an actionable request belong in the same journey. The sample values in this tool are fictional.
Good questions.
Clear answers.
Are these Google keyword volumes?
No. Counts are occurrences within your pasted text only. Repeated messages may come from the same person, and no search platform is queried.
Does the miner combine paraphrases?
No. It groups wording after case, whitespace, Unicode and terminal question-mark normalization. Different phrasing remains separate for you to review.
Can I use French conversations?
Yes. Common French and English question starters are supported. Questions ending with a question mark can be extracted in other languages too, but intent labels use French and English keyword rules.
Where does my pasted text go?
The tool processes it in this browser tab. Its code does not send the text to Arrow, a model provider or a storage service. Remove personal details before using or exporting any conversation. A separate review request shares only the contact details, message and optional summary you explicitly submit.
Continue the loop
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Your next step / Arrow review
Make the result actionable.
Tell us what you want to improve with Customer Question Miner. Your request goes to the Arrow team. You choose whether to include a short result summary.