Project management

    Use voice dictation in Linear for faster issue writing, product specs, and engineering updates

    Linear is fast, but the writing around engineering work can still create drag. Voice dictation helps teams fill Linear issues with real context, sharper specs, and clearer updates so execution does not depend on follow-up clarification.

    Faster first drafts

    Dictate the rough version while your thought is fresh, then let AI cleanup handle punctuation and structure.

    App-aware tone

    Keep quick chat replies concise, make email more polished, and preserve technical wording where precision matters.

    Private by design

    Use local mode for sensitive dictation when cloud transcription is not appropriate for the text you are writing.
    Workflow

    What to use voice for in Linear

    The best dictation workflow is not a blank transcript box. It is voice input in the app where the work already happens.

    Create richer Linear issues with user impact, technical notes, and rollout expectations in one pass.

    Dictate spec fragments and implementation plans directly into project documents or issue descriptions.

    Write async updates for cycles, initiatives, and blockers without opening a separate drafting tool.

    Capture postmortem notes, regression details, and follow-up actions while the incident timeline is still clear.

    Good for daily writing

    Use it for replies, comments, briefs, task updates, notes, prompts, and any other text field where typing slows you down.

    Built for longer thoughts

    AI Dictation is especially useful when the message is too detailed for mobile-style voice typing and too repetitive to type manually.

    Friction

    Where typing slows down Linear

    These are the moments where speaking the first draft tends to beat typing from scratch.

    Fast issue creation encourages short tickets that are easy to open but hard for teammates to interpret later.

    Product and engineering context gets lost when implementation notes stay trapped in meetings or chat threads.

    Project updates become vague because nobody wants to write a detailed status comment at the end of a long sprint.

    Examples

    Example prompts to dictate in Linear

    "Issue colon add audit logging for workspace role changes, include actor id, previous role, new role, and org id in every event."
    "Project update colon search relevance improved after the synonym patch, but query latency is still above target on large accounts and needs one more index pass."
    "Spec note colon admin users need a bulk archive action, but the button should stay hidden until all selected records pass permission checks."

    AI Dictation for Linear FAQ

    Why use voice dictation in Linear instead of typing?

    Because the friction in Linear is rarely opening the issue. The real bottleneck is adding enough context for design, engineering, and QA to move without extra explanation.

    Can voice dictation help with Linear project updates?

    Yes. It makes it easier to leave substantive cycle updates, blocker notes, and implementation summaries instead of brief status fragments.

    What Linear content works best with dictation?

    Issue descriptions, specs, retrospective notes, incident follow-ups, and engineering progress updates are strong candidates because they are detailed but easy to explain aloud.