Comment Question Organizer

Know what evidence your queue actually contains

A comment queue starts with a limited piece of evidence: text someone supplied. It may reveal a missing explanation, a practical obstacle, or a request worth answering. It does not by itself establish how many people share that concern, whether the writer tried a suggested step, or what an entire audience wants. The Comment Question Organizer keeps that boundary visible. It compares wording, suggests review categories, and lets you annotate the resulting groups. It has no independent observation of the original discussion. The quality of the eventual answer depends on your source selection, context, factual checks, and judgement about what the supplied words mean.

The worked case is a fictional software-workshop launch. An instructor plans a live session using a sample workbook and has collected twenty comments about preparation, joining, and later access. The instructor needs a reply queue before registration closes and a short preparation notice before the session. Those are separate deliverables: one responds to particular questions, while the other gives all attendees a consistent starting point. Neither is generated by the organizer. The queue helps identify what is still unresolved, which wording has repeated, and what needs a factual check before it appears in a public promise about the workshop.

Platform contexts cover Instagram, Facebook, LinkedIn, TikTok, YouTube, Snapchat, Threads, X, and Reddit. They identify the supplied-text setting; they do not grant access to comments, story replies, profiles, or private communities. There is no scraping, social API ingestion, account login, OCR, or live mention feed. A native export is not automatically understood either. Use the same evidence discipline in every context: identify the batch you prepared, retain relevant context, and avoid treating the absence of a question as proof that nobody has it. The tool can organize the material present, not estimate the discussion or audience that was never supplied.

Prepare valid input and apply it deliberately

The simplest input is one comment on each pasted line. Blank lines are ignored, but every other line becomes its own record. If a comment itself contains line breaks, use the explicit CSV template instead of accidentally splitting it into several comments. That template is comma-delimited and requires the exact lowercase comment header; source is an optional header for a short reference label. Quote fields containing commas or line breaks. For the workshop, neutral source labels such as Registration notice and Preparation reminder are more useful than a long copied page title. The label records your supplied reference and is not a verified account identifier.

A source must stay within 1 MiB and contain no more than 300 nonempty comments. Each comment allows up to 1000 Unicode code points and 20 explicit lines. A source label is limited to 80 code points and a single line. Do not satisfy those bounds by silently chopping a long question into independent records or removing a crucial qualification. Choose a smaller, well-defined batch or prepare a documented excerpt for the review instead. Malformed CSV is rejected transactionally, without replacing the current applied data with just the rows that happened to parse. Correct the candidate file before trying to apply its content.

Input text and topic rules remain drafts until you press Organize comments. This explicit Apply step matters when an older result is still on screen. A pending or invalid draft disables exports and annotation editing so you cannot accidentally label or share the old queue as the new one. Apply valid input to proceed, or use Restore input to return to the applied dataset. In the workshop case, confirm that the twenty intended records are present before adding decisions. A newly typed extra question changes the draft, not the evidence behind the last applied totals, until you deliberately apply that revision.

Understand wording groups through a checkable example

Duplicate grouping uses a defined text key: NFKC normalization, lowercase conversion using the English locale, trimming, and collapsing whitespace. It does not strip punctuation or detect equivalent meanings. Which version should I install? can group with a version that uses different capitalization and extra spaces. Which version should I install without the question mark stays separate. What release do we need? stays separate too. All raw variants and all occurrences are preserved rather than replaced by a cleaned-up sentence. The method reduces repeated review of normalized wording; it does not decide that two people want the same answer or that two differently worded requests are interchangeable.

Construct the twenty-record workshop example with four case or spacing variants of Which version should I install?, two variants of Where is the sample workbook?, and two variants of Will a recording be available? Add twelve other distinct comments about joining instructions, time zone, installation errors, workbook format, exercise files, keyboard differences, preparation time, live attendance, recording access, captions, registration, and a thank-you. The result is fifteen groups: three repeated-wording groups plus twelve singles. Its raw total is twenty because four plus two plus two plus twelve equals twenty. This example checks grouping arithmetic without claiming to reproduce a real audience or an actual workshop.

Now inspect the difference between recurring wording and recurring intent. The single question about recording access may concern an expiry date, while Will a recording be available? asks whether a recording will exist at all. Both can inform a preparation notice, but they require different facts. Keep both groups and make that relationship an editorial decision in your notes. Fifteen grouped items are not fifteen attendees; twenty occurrences are not twenty unique people or votes. The topic chart also counts grouped items, not importance. One isolated installation blocker can deserve attention before four repeats of a question already answered clearly in the registration material.

Treat question flags and keyword topics as suggestions

Question detection uses a visible question mark, including supported Arabic and fullwidth forms, or one of the fixed English question starters. It is a heuristic you can correct with a manual Question or Comment kind. Need the workbook before Friday could be an actionable request without receiving the expected question flag. A sentence quoting someone else asking a question may receive a flag without requiring an answer itself. Read the words and the context you have supplied. The organizer does not perform language understanding, assess urgency, or decide whether an English-looking sentence is a sincere request rather than a quotation or rhetorical remark.

Keyword topics are optional. Leave the rules blank for a fully manual topic pass, or start with a few literal rules such as Setup: install, version; Files: workbook, sample; and Attendance: live, recording. You may enter up to eight rules, one per line. Each label allows 32 single-line code points, with up to eight terms of at most 40 code points each. Matching ignores case and uses word or phrase boundaries. It is not regex matching, translation, or semantic classification. A term that appears in a negated sentence still appears literally, so the topic suggestion does not explain the whole sentence.

One matching rule supplies a suggested topic. No matches and multiple matches both leave a group Unsorted; overlapping matching topics are shown for review rather than resolved by rule order. Does installing this version change the sample workbook? contains terms from Setup and Files. Decide which topic best supports the next human action and record any second dependency in the note. A manual topic can override a suggestion and survives rule edits. That persistence protects deliberate work, but it also means you should revisit overrides when you redesign the categories. Editing a keyword list is not a fresh human review of every previously annotated group.

Create a queue with a real next action

Assign a status only after deciding what it means for this review. Open means work is unresolved. Planned means a concrete next action has been arranged. Answered records your decision that an appropriate answer has been delivered outside the tool. Ignore records a deliberate exclusion from the active queue. These are manual states, not observations of account activity. For the workshop, checking the supported software version is Open until someone takes responsibility for the check. It can become Planned when the instructor agrees to test the exercise on that version. It is not Answered merely because a preparation notice has a blank space reserved for the result.

Use a note to make the dependency concrete: Instructor checks the exercise on the stated version; update joining email after confirmation. The field allows up to 1000 code points and 20 explicit lines per group. Owner names, review dates, and approvals are ordinary note text, not separate assignments or reminders. Keep an actual handoff in your team process. A second note might say Recording availability undecided; ask session lead before replying. That is more useful than a polished but unsupported answer. The organizer neither writes the response nor tests the software, and it has no basis for promising a recording or a particular access period.

As a hypothetical review state, divide the fifteen groups into five Open, six Planned, three Answered, and one Ignore. That totals fifteen grouped items; it says nothing about how the twenty raw occurrences are distributed across those states unless you inspect them. Mark the version group Planned and the recording group Open until their separate facts are checked. If one group contains several occurrences, annotate the common wording without assuming every original context is identical. Keep raw variants available for review. A short next-action note is valuable because it tells the next reviewer what to do and what evidence is still missing, not because it makes the queue look complete.

Choose sharing scope independently of the view

Search and filters answer what should I inspect now? Export scope answers what should this recipient receive? They are separate controls. Filtering to Files or Open does not silently narrow All groups. Select the intended rows, using Select visible when appropriate, then explicitly choose Selected groups. Check the group and occurrence counts together. Selecting the four-occurrence version group and the two-occurrence workbook group in the example gives two groups and six raw occurrences. That scope can support an instructor check without disclosing unrelated comments. Clear or adjust the selection deliberately when preparing a different handoff; a new view alone does not redefine the sharing boundary.

CSV, TXT, and copy include the full chosen scope. CSV has one row for each grouped item, including its complete representative comment, sources, occurrence count, kind, status, topic, and note, with spreadsheet-formula protection. It is not the raw archive. Standalone JSON saves the entire applied project, including all raw input, annotations, selection, and settings, up to 8 MiB. A small selection does not make this project save small in privacy scope. Use it for an editable record with trusted reviewers, and do not confuse it with a selected-row handoff. Pending draft input must be applied or restored before saving the project.

The PDF visibly previews the first ten groups in the chosen scope, preserving full comments and notes. Its JSON attachment contains all chosen groups, including those beyond that preview. For Selected groups, the attachment excludes unselected raw comments and annotations; it never hides a full private dataset behind a selected preview. With all fifteen workshop groups chosen, five are beyond the visible preview but remain in the scoped attachment. Read the scope summary and omitted-preview count. The PDF is bounded at 20 pages and 20 MiB, with a clear refusal rather than silent text truncation. Use the complete chosen-scope text or data alternatives if that report cannot be produced.

Convert reviewed questions into a separate launch brief

The queue is evidence for a brief, not the brief itself. For the workshop, extract three decisions after review: which software version attendees should prepare, where the checked sample workbook can be found, and what is confirmed about attendance and recording. Each needs an owner and a factual basis outside the comment list. A useful launch brief names the required asset, the person checking it, and the condition for approval. It does not copy every comment into an announcement. Keep a separate record of unanswered individual requests so the broad preparation notice does not become an excuse to overlook questions that require a personal clarification.

Choose a manageable production plan after those decisions are clear. The Content Calendar Generator can hold a separate preparation plan for the notice, a short exercise demonstration, and a later reminder. Transfer the reviewed topics manually and include the time needed to check links and test files. The organizer does not create those assets, move tasks automatically, or schedule a social action. If the recording decision remains unresolved, the corresponding content item needs that dependency in its brief. Giving an unapproved idea a date does not turn it into a commitment the instructor can safely announce to registrants.

If the team wants to learn which future workshop subject people would prefer, formulate a separate question with the Poll Builder. The supplied comments are not poll responses, and repeated wording is not a voting system. Likewise, do not turn a local grouped-item count into an audience report or a forecast of registrations. Keep the chain of reasoning visible: this wording was supplied, this issue was checked, this response was prepared, and this next action was chosen. Other free tools in the tools directory can support distinct preparation jobs, but none changes the evidence contained in this queue.

Save deliberately and review the next revision

The organizer processes comments locally and does not secretly upload input or automatically save a private project. Ordinary website assets still load, so this is not a claim that the entire site is offline or makes no network requests. Before entering material, remove private details that are unnecessary for the task. Before sharing, inspect comments, source labels, and notes in the intended export. An internal note can reveal a private plan even when the representative comment is harmless. Download a project before leaving when you need to continue later, and identify the revision clearly enough that a collaborator will not mistake it for the latest approved queue.

When changed input is applied, annotations remain on groups with matching normalized text. The tool requests confirmation if annotated groups would disappear. This protects continuity without claiming semantic history: rephrased questions can create new groups, and identical wording can need a fresh answer when circumstances change. If the workshop date changes, revisit the attendance notes yourself; the software does not discover every consequence. Keep raw duplicates rather than deleting them to improve a completion percentage. Compare later batches only with their collection boundaries stated. The tool has no independent reach, identity, or outcome data that would explain why a later batch contains fewer or more questions.

A final review should distinguish three things: what the supplied comments say, what your team has verified, and what has actually been communicated. That is enough to make a launch queue useful without pretending it is autonomous support. When the recurring problem becomes supported account actions, schedules, device coordination, or activity review, evaluate SMTasker as a separate workflow. The free organizer does not run Skye, use an AI provider, or turn CSV rows into automations. Keep answer writing and approval with the person who understands the case. A repeatable process can reduce routine work while still requiring a deliberate decision about each factual claim and each recipient.

Questions about organizing comments