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Productivity7 min read

How to dictate better product specs on Mac

A practical workflow for turning rough spoken product thinking into clearer specs, feature briefs, and AI-ready implementation notes.

An emerald voice waveform becoming a structured product spec draft on a dark Mac workspace.

Product specs often start in your head long before they become a document.

You know the user problem. You know the shortcut the team should avoid. You know the awkward edge case, the tradeoff, the reason the first idea is probably too large, and the one sentence an engineer will need before the implementation can start.

Then you open a blank doc and write something thinner:

"Add better export settings."

That may be the right feature area, but it is not a spec yet. Dictation helps because it gives you a fast way to get the messy product reasoning onto the page before editing it into something other people can build from.

The trick is to treat voice as the capture layer, not the finished spec.

Start with the decision, not the feature

A useful spec is built around a decision. It should explain what problem you are solving, who it is for, what will change, and what should stay out of scope.

If you start dictating with the feature name, the transcript often becomes a tour of possible UI ideas:

We should add export settings, maybe a dropdown, maybe presets, maybe a way to remember the last format, and maybe something for teams later.

That may be useful brainstorming, but it gives the reader too many doors at once.

Start with the decision instead:

The decision is to let users choose the export format before transcription starts, because creators keep importing the same kind of files and do not want to fix the output afterward. For this version, keep it local to the file transcription flow and do not add team presets.

Now the draft has a center. You can still add details later, but the reader knows what the spec is trying to settle.

Dictate into a private scratch space first

Early product thinking is rarely ready for the shared roadmap.

You may mention customer names, revenue context, internal tradeoffs, competitive worries, or a half-formed idea that should not become a commitment. Speaking makes that even more likely because you are reasoning in real time.

Use a private scratch note for the first pass. With SpeakLane, a push-to-talk hotkey makes that quick: click into a local document, hold the shortcut, talk through one chunk of the spec, release, and review the transcript before moving anything into Linear, Notion, GitHub, Slack, Cursor, Claude Code, or a shared planning doc.

If the destination is low-risk and you are happy to edit in place, auto-insert can work. If the spec includes sensitive context or rough judgment, use auto-copy in Settings and paste only after review.

The useful boundary is simple: speak the rough version locally, then decide what belongs in the team version.

Use a spoken spec shape

Voice works better when you give it a structure to land in.

You do not need to dictate a perfect PRD. You need enough rails that the transcript is easier to edit. A practical spoken shape is:

  1. Problem: what is hard, slow, risky, or confusing today.
  2. User: who feels the problem and in what workflow.
  3. Outcome: what should be easier after the change.
  4. Scope: what the first version should include.
  5. Non-goals: what you are explicitly not solving yet.
  6. Edge cases: what could make the feature fail in practice.
  7. Open questions: what still needs a decision.

Say the labels out loud. They may feel unnatural for the first few sessions, but they make the transcript scannable.

For example:

Problem: people record a quick voice memo, transcribe it, and then spend time cleaning the same filler words every time. User: solo operators and researchers who reuse spoken notes in docs or emails. Outcome: the transcript should arrive closer to a readable draft. Scope: add a simple cleanup toggle in settings. Non-goal: do not add full tone rewriting or AI style presets in this version.

That is not final copy. It is raw material with a useful spine.

Separate the user story from the implementation idea

When you talk through a spec, it is easy to mix the problem with the solution.

That is normal. Product thinking moves back and forth: the user needs something, you imagine a UI, you notice a technical constraint, and suddenly the transcript is describing a checkbox before it has explained why the checkbox should exist.

During the editing pass, split those threads apart.

User story:

  • What is the user trying to do?
  • What gets in the way?
  • What would count as success?

Implementation idea:

  • Where might the control live?
  • What data or setting needs to exist?
  • What behavior should happen after the user chooses it?

Open question:

  • What do you still need to validate?
  • What dependency could change the design?
  • What should the team decide before building?

This separation is especially useful if the dictated spec will become an AI coding prompt. A coding assistant can work faster when it can tell the difference between the product goal, the suggested implementation, and the parts that are still undecided.

Keep exact names on the keyboard

Dictation is good for reasoning. It is weaker for exact tokens.

Product specs often include names that need to be right:

  • Feature flags.
  • Route names.
  • Product areas.
  • Customer segments.
  • File formats.
  • Event names.
  • Settings labels.
  • Version numbers.
  • Internal project names.

If one of those details matters, type it, paste it, or verify it before sharing the spec. A transcript that turns an internal setting into a near match can create confusion later, especially if someone uses the spec as implementation input.

For repeated terms, add them to Snippets so common product names, acronyms, and phrases clean up before the transcript lands in your draft. For name-heavy specs, a stronger local model in Settings > Models can also reduce correction work.

Still, do not skip the review. A spec is a source of work for other people. The exact nouns deserve a second look.

Turn the transcript into a buildable brief

After dictating, do one editing pass for the reader.

Engineers need scope and constraints. Designers need user behavior and edge cases. Support and marketing need plain language about what changes. Your future self needs enough context to remember why the decision made sense.

Use the transcript to produce a shorter brief:

  1. Title: one specific change, not a theme.
  2. Problem: the workflow that breaks or slows down today.
  3. Proposed behavior: what the user should be able to do.
  4. First version: the smallest useful version.
  5. Non-goals: what not to build right now.
  6. Edge cases: what must not surprise the user.
  7. Open questions: what needs a decision before implementation.

A rough dictated sentence like:

I think we should probably remember the last transcription model because people who process interviews will not want to choose Medium every time, but for quick notes they might still want Base, so maybe it should remember by workflow or maybe just the last choice.

Can become:

Remember the last selected transcription model for file transcription.

Problem: users processing several similar recordings may need the same model repeatedly.

First version: remember the last file transcription model selection on this Mac.

Non-goal: do not create per-project presets yet.

Open question: should live dictation and file transcription share the same model preference?

The edited version keeps the thinking but removes the fog around it.

Keep history as working memory, not the spec archive

Specs often come together over several passes.

You might dictate the user problem in the morning, add edge cases after a support conversation, then record a better implementation note after looking at the code. A local history trail can help you recover the useful phrasing from those passes.

In SpeakLane, history stores recent transcripts and recordings locally. That makes it useful as a temporary scratchpad while the spec is forming.

Do not let history become the source of truth. Once the spec is clean, move it into the system where the team actually works. Keep or delete the local recording based on whether the source audio still has value.

This is especially important when the rough transcript includes private customer context or internal debate. The team spec should contain the decision and enough rationale, not every sentence you used to find it.

A simple voice-to-spec routine

Use this the next time a product idea is easier to say than type:

  1. Open a private scratch note.
  2. Dictate the decision first.
  3. Use spoken labels: problem, user, outcome, scope, non-goals, edge cases, open questions.
  4. Type or paste exact names, routes, flags, settings, and numbers.
  5. Separate the user story from implementation ideas.
  6. Cut the rough transcript into a buildable brief.
  7. Move the cleaned spec into the right planning tool.
  8. Keep the local recording only while it helps.

Voice will not make an unclear product idea clear by itself. It will help you capture the context that usually gets lost before the spec is written.

Once the rough thinking is visible, you can do the actual product work: choose the smaller version, name the non-goals, check the edge cases, and give the next person a brief they can act on.