AI 製品管理アプリ: ボイスメモから PRD ドラフトまで

Look at what a product manager is paid for and very little of it is document production.

You are the person who knows that the enterprise buyer and the daily user want opposite things. You know which stakeholder objection is a real constraint and which one is a preference dressed up as a constraint. You know that the third customer this month described the same workaround, in different words, which is the moment a pattern becomes a bet.

None of that lives in a roadmap tool. It lives in your head, in a notebook, in a Slack thread you will never find again, and in the twelve seconds of clarity you had walking back from a call before the next meeting overwrote it.

The cost shows up later and it never gets attributed properly. A decision gets relitigated because nobody can reconstruct the reasoning. A feature ships against a customer quote that was actually an outlier. A new engineer asks a reasonable question about the spec and you cannot answer it without going back to a customer you already interviewed.

So what actually needs capturing? Not the transcript of the call. The three sentences you would say to a colleague afterwards: what they said, what surprised you, and what it implies for what you are building.

Set the tooling aside for a second, because there is a plain human problem underneath.

Discovery notes decay faster than almost any other kind of work note. You run three customer calls in an afternoon, tell yourself you will write them up in the evening, and by the evening two of them have merged. One vivid complaint attaches itself to the wrong company. The reason you got excited flattens into "good signal on onboarding", which is a phrase that describes half of everything.

The specifics were the whole point. Not "frustrated with imports" but "she said she keeps a separate spreadsheet because the import silently drops rows, and she has stopped trusting the count at the top of the page". The first is a theme. The second is a spec, a bug report, and a quote for the kickoff deck, all at once.

There is a second-order effect too. When notes are thin, you over-weight the loudest recent conversation, because it is the only one you can actually recall in detail. Your roadmap starts tracking your memory rather than your evidence.

Yaps is a voice assistant that runs on your own device. Local AI simply means the model runs on your laptop or phone rather than on a company server, which keeps your work private, keeps it working with no internet, and means the behaviour does not change underneath you when a vendor ships an update.

For product work it does four concrete things, and all four happen locally.

It turns a spoken thought into clean text. Press the Yaps hotkey (on desktop the key is Fn, on Android it is the dictation button on the Yaps keyboard) and talk the way you would brief a colleague, restarts and tangents included. Recognition runs on your device, so the audio of you describing a customer, a competitor, or an unannounced roadmap item is never uploaded to become text. It works across every app, so you can speak straight into your notes, a Slack message, the ticket description, or the spec itself. The dictation feature page covers the mechanics.

It cleans up the ramble on-device. Cleanup is on by default and runs locally. It strips filler words and false starts, fixes punctuation and capitalisation, and turns a spoken list into an actual list. So "so, um, the thing that surprised me was, sorry, what surprised me was she does not trust the row count, she keeps a spreadsheet on the side, and that means, right, that means our import is not a feature problem it is a trust problem" arrives as clean sentences you would be happy for an engineer to read.

It keeps everything in a private, searchable vault. Notes land in a local vault on your device and are searchable without a cloud index of your unreleased roadmap. Notes support checklists and kanban boards as well as plain text, so a discovery round can be a board with a card per customer, and everything exports to Markdown or plain text. The voice notes feature goes deeper.

It syncs between your phone and your laptop. Vault syncing is a premium feature that pairs your own devices with a QR code and moves notes over your local network or an encrypted peer-to-peer link, not through a central server. The thought you speak walking out of a customer meeting is on your laptop when you sit down to write.

This is the part that changes the job rather than just speeding it up.

Yaps can answer questions across your own notes, and that runs on your device on a local model, offline. So when you sit down to write the spec, you are not scrolling twenty documents hoping to recognise the right paragraph. You ask: what did customers say about imports, who mentioned trusting the data, what objections came up about pricing in the last two months. The answers come back from your own captured thinking, and none of it goes to a server to be answered.

That is a genuinely different relationship with your own notes. Capture stops being an act of faith. You are not writing things down in the hope that future-you will find them; you are building a body of evidence you can interrogate.

You can ask questions across everything you captured, and get an answer without a single word of it leaving your device.

Yaps

It is worth being precise about what this is and is not. It answers from what you recorded. It does not go and find market data, it does not read your competitors' release notes, and it does not know anything you did not tell it. If your notes are thin, the answers are thin. The value is entirely downstream of the habit of speaking the thought after every conversation. For the broader idea, see the AI memory app and turning voice notes into action items.

Your discovery notes contain unreleased plans, named customers, pricing objections, and candid internal opinions. That single question sorts the options faster than any feature comparison.

Read the last row as an honest trade rather than a defeat. Yaps has no integration with Jira, Linear, Notion, Confluence, or any roadmap tool. There is no connector and no automatic write-back. What you get is clean, structured, paste-ready text that you copy into whatever field the ticket or the doc gives you. If automatic sync into your tracker is a hard requirement, a tool built into that platform is the right answer for that step, and the sensitive raw thinking can still stay local.

The rows above it are where the on-device approach earns its keep. A tool that never uploads your unreleased roadmap cannot leak it, cannot retain it after you delete it, and cannot change its data terms next quarter.

The loop below takes about two minutes per conversation and it replaces the evening write-up entirely.

1. Set up Yaps once. Install it on Android, Windows, macOS, or Linux. Android has a free tier; on desktop you get a 7-day free trial and then a paid plan.
2. Protect two minutes after every call. This is the habit change, and it is the one that matters. Treat the gap as part of the meeting.
3. Speak the raw thought. Press the Yaps hotkey and answer the same three questions in order: what did they say, what surprised you, what does it imply. Quote them rather than summarising them.
4. Let on-device cleanup structure the text. Filler comes out, punctuation and lists go in. You review, you do not retype.
5. File it, then interrogate it later. The note lands in your local vault. Months later you ask across the whole vault, on your device, and get the reasoning back.

Raw capture is most of the value, but a small amount of structure makes the pile far easier to work with later.

Notes in Yaps are not limited to plain text. A discovery round works well as a kanban board with a card per customer, moved from scheduled to spoken to synthesised, so the state of the research is a screen rather than something you are holding in your head. A launch checklist works as an actual checklist. A recurring stakeholder relationship works as one long running note you add to after every conversation, which is how you notice that somebody has quietly changed their position twice.

The other habit worth forming is naming things consistently. Say the account name, the persona, or the feature area in the first sentence of every note, always in the same position. Local search and on-device chat both work on the words you actually said, so consistent naming is what lets you pull every note about billing, or every conversation with a particular customer, in one move.

Everything exports to Markdown and plain text, which means the synthesis you write can go straight into a document, a ticket, or a deck without a conversion step. It also means you are not locked in: the notes are yours in a format anything can read.

The blank product requirements document is one of the more reliable ways to lose an afternoon. A product requirements document, or PRD, is the spec that tells everyone what you are building, for whom, and why.

Typing into an empty template invites you to write in template language. You start filling headings rather than making an argument, and the result is a document that describes a feature without ever explaining the problem. Talking is different. When you speak a section out loud you naturally explain, because explaining is what speech is for.

So dictate the rough version. Open the document, press the hotkey, and talk through the problem statement as if a new engineer just asked you what this is and why it matters. Do the same for the user story, the constraints you already know about, the open questions, and the thing you are explicitly not doing in v1. Cleanup handles the punctuation and the false starts, so what lands on the page is a readable first draft rather than a transcript.

Then you edit. The point is not that dictation produces finished prose; it is that editing a rough argument is a fundamentally easier task than producing one from nothing. You are moving from a blank page problem to a revision problem, and revision is where product managers are actually good.

Be clear about what Yaps does not do here. It does not generate a PRD for you from a prompt, it does not invent requirements, and it does no market research. It captures and organises your thinking and helps you draft in your own words. If you want a tool that writes the document on your behalf, this is not that, deliberately. The reasoning in the spec should be yours, because you are the one who has to defend it in a room.

For a longer look at how voice capture fits alongside AI tooling in a working day, see the 10x AI agent workflow.

One underrated step sits between the draft and the share button.

Yaps reads text aloud with 18 voices on desktop and 2 on mobile. Select a paragraph, trigger read-aloud, and listen. Sentences that a stakeholder will misread are almost always audible before they are visible. A clause that can be parsed two ways sounds wrong immediately. A paragraph that buries the actual decision under three sentences of context becomes obviously badly ordered when you have to sit through it.

This matters more in product writing than in most writing, because a PRD is read quickly by busy people who will act on their first interpretation. Catching the ambiguous sentence before it reaches engineering is cheaper than catching it in code review.

An honest note: the read-aloud voices are English speakers in practice. If you need a document read back in several languages, a multilingual cloud reader is the better fit for that job. Dictation itself is multilingual, at about 25 auto-detected languages, so speaking your notes in another language is fine.

A clear scope is more useful than a long feature list.

It does not join or record customer calls. Yaps has no meeting bot. It does not sit in your video call, does not transcribe the conversation live, and does not capture the customer speaking. This is a note-after-the-fact workflow. If you did record a call yourself, with consent and in line with your company policy, the Yaps Studio editor imports that audio file and transcribes it offline into text or an SRT subtitle file. That is a file you already own becoming private text on your own hardware, which is a different thing from a bot in the room.

It does not write your PRD for you. No generated specs, no invented requirements, no competitive analysis, no market sizing. Yaps captures your thinking, organises it, and helps you draft faster in your own words. The judgement is yours.

There is no integration with any roadmap or ticketing tool. No Jira connector, no Linear sync, no Notion write-back, no Confluence push. Yaps produces clean, structured, paste-ready text and you copy it where it needs to go. Notes also export to Markdown and plain text, which covers most of the gap.

There is no iPhone or iPad app yet. Yaps ships on Android, Windows, macOS, and Linux today, plus a Chrome extension for saving web pages into your vault. iOS is coming soon. This is a real limitation for a product manager who lives on an iPhone between meetings, and it is worth knowing before you build a habit around it. If your phone is an iPhone and your laptop is a Mac, the desktop half of the workflow works today and the mobile half does not.

Speaker identification is desktop only. In Studio on Windows and macOS you can install a small optional speaker-identification pack from the Features screen (about 32 MB) and switch it on before transcribing a file, so a recording with several voices is easier to read back. It is off by default, runs on-device, and is not available on Android or Linux. It does not mean Yaps joins live calls.

Start with Yaps for the capture layer of product work. Speak the raw thought in the two minutes after every customer conversation and every stakeholder chat, let on-device cleanup make it readable, and let it accumulate in a private vault you can search and question later. That single habit is what turns a quarter of scattered conversations into something you can actually reason from when the spec is due and when the decision gets challenged four months later.

Two honest limits. If your process depends on notes writing themselves into Jira, Linear, or Notion, use a tool built into that platform for that step and keep the candid thinking local. If you work entirely from an iPhone, wait for the iOS release.

For everyone else, the change is small and it starts with the next call in your calendar. Stop writing three discovery notes from memory at seven in the evening. Speak each one while you still remember exactly what the customer said, on a device that keeps it to itself. Offline dictation covers what still works when the connection does not, which on a train between customer visits is more often than you would like.

What is the best AI app for product managers?

Yaps is the strongest default for the capture and drafting side of the job, because dictation, cleanup, note storage, search, and chat with your notes all run on your own device. That means unreleased roadmap plans, named customers, and candid internal opinions never travel to a vendor to become clean text. It runs on Android, Windows, macOS, and Linux and works offline. If you need notes to write themselves into Jira, Linear, or Notion, use a tool built into that platform for that step.

Can AI take my product discovery notes for me?

Not the way people usually imagine, and the alternative is better. Yaps does not sit in the call and summarise it. You speak your own read on the conversation in the two minutes afterwards, and on-device AI turns that speech into clean, structured text. The result captures your interpretation, which is the thing that is actually scarce, rather than a transcript of words you already heard.

Does Yaps join or record customer calls?

No. Yaps has no meeting bot, does not appear in your video call, does not record conversations automatically, and does not do live transcription. If you recorded a call yourself with the participants' consent and in line with your company policy, the Yaps Studio editor imports that audio file and transcribes it offline into text or an SRT subtitle file, with nothing uploaded.

Can Yaps write a PRD for me?

No, and that is deliberate. Yaps does not generate product requirements documents from a prompt, invent requirements, or perform market research. It captures and organises your own thinking and lets you draft sections by voice far faster than typing into a blank template. The argument in the spec stays yours, which matters because you are the one who has to defend it.

How do I remember why a product decision was made months later?

Capture the reasoning at the moment it exists, not the conclusion afterwards. Speak a short note after every customer call and stakeholder conversation covering what they said, what surprised you, and what it implies. Keep those notes in one searchable place. With Yaps you can then ask questions across the whole vault on your device, so recovering the reasoning behind a four-month-old decision is a question rather than an archaeology project.

Does Yaps integrate with Jira, Linear, Notion, or Confluence?

No. There is no connector, no sync, and no automatic write-back to any roadmap, ticketing, or documentation tool. Yaps produces clean, structured, paste-ready text that you copy into whatever field you need, and notes export to Markdown and plain text. If automatic write-back is a hard requirement for your team, use a tool built into that platform for that step.

Can I ask questions across all of my product notes?

Yes. Yaps can answer questions across your own notes, and this runs on your device on a local model, so it works offline and nothing is sent to a server. You can ask what customers said about a specific feature, which objections keep recurring, or what you concluded after a particular round of interviews. It only knows what you captured, so the quality of the answers follows the quality of the habit.

Is customer interview data safe in a voice notes app?

It depends entirely on where the processing happens. With Yaps, dictation, cleanup, search, and chat with your notes all run on-device, the audio is never uploaded to be turned into text, and notes rest in a local vault rather than a vendor account. With a cloud notetaker or a cloud document tool, your customer conversations and unreleased plans sit on infrastructure you do not control, under retention terms you did not write. You remain responsible for following your own company's data policy either way.

How much does Yaps cost for a product manager?

On Android there is a free tier, so you can start using it at no cost. On desktop, meaning Windows, macOS, and Linux, there is no free tier: you get a 7-day free trial and then a paid subscription, at Pro for $15 a month or Max for $25 a month. Starting that trial requires an account, which governs access and billing. It does not change where the work happens, because the dictation, cleanup, and local search still run on your own device.

Does Yaps work on iPhone or iPad?

Not yet. Yaps ships on Android, Windows, macOS, and Linux today, plus a Chrome extension for saving web pages into your vault, and the iPhone and iPad app is coming soon. If you do most of your between-meetings capture on an iPhone, the mobile half of this workflow is not available to you yet, although the desktop half works on a Mac today.

Is dictating a spec actually faster than typing one?

For a first draft, usually yes, and the bigger gain is that speaking makes you explain rather than fill in headings. Talking through the problem statement as if answering a colleague produces a real argument, where an empty template tends to produce template language. On-device cleanup removes the filler and fixes the punctuation, so you get a readable rough draft to edit instead of a blank page, and editing an argument is far easier than producing one.

Can Yaps read my draft back to me before I share it?

Yes. Yaps reads selected text aloud with 18 voices on desktop and 2 on mobile, using Option and Fn on desktop or the read-aloud option from a selection on Android. It is a fast way to catch sentences a stakeholder will misread, because ambiguity is usually audible before it is visible. The voices are English speakers in practice, so if you need a document read back in several languages a multilingual cloud reader fits that job better.

Can Yaps transcribe a customer call I already recorded?

Yes, if you already hold the audio file and recorded it lawfully with everyone's consent. The Yaps Studio editor imports the file and transcribes it offline into text or an SRT subtitle file, with nothing uploaded. On Windows and macOS you can also install an optional on-device speaker-identification pack to make a multi-voice recording easier to read. It only works on files you already have, because Yaps does not join or record live calls.