
Most early stage founders have already done the user research their investors keep asking about. It lives on their phones. Every discovery call, coffee chat with a target user, and beta feedback session captured through Voice Memos sits in a folder as a .m4a file, and nearly all of those files have been played back exactly once, which is to say never. Converting them to text is the cheapest way to turn that pile into what it was supposed to be all along: evidence.
why discovery research ends up as m4a
Voice Memos is the recorder founders actually use, because it is already on the phone when a customer starts saying something worth keeping. It saves AAC audio inside a .m4a container, which keeps an hour of conversation down to a modest file. That format is good at capture and bad at everything after capture. You cannot skim fourteen interviews the night before a roadmap discussion, and you cannot search audio for the one user who described the workaround they built in a spreadsheet. So the recordings accumulate, unread because they are unreadable.
memory rounds every interview toward what you hoped to hear
The version of an interview you retell a week later has drifted. You remember the polite "I would definitely use this" and forget the four second pause in front of it. You remember the feature request and forget that you suggested the feature yourself. Transcripts resist this. The hedges, the qualifiers, and the topic the user kept returning to are all preserved in the exact words used, which is what lets you tell a compliment from a commitment. Founders who follow The Mom Test school of interviewing already know that specifics are signal and praise is noise; a transcript is where you find out which one you actually collected.
your customers write better copy than you do
Here is the part that pays for itself fastest. The strongest landing page copy tends to be quoted rather than composed, because prospects trust a sentence that sounds like their own head. When a user describes the problem as "I lose half a day every Friday stitching reports together," that phrasing belongs in your hero section, your ads, and your onboarding emails. A transcript library is a copy bank: headlines to test, objections your pricing page should answer, and testimonial candidates you can follow up on for permission. The same file feeds the pitch deck, where one dated, attributable customer quote lands harder than any market size slide.
a workflow that fits between sprints
Keep it boring. Record with consent, then batch the week's files through a converter that accepts .m4a directly, so nothing needs exporting or renaming. VOMO, for one, converts m4a to text online with automatic speaker labels and punctuation, puts no cap on a single file's length, and meters its free plan at 30 weekly minutes rather than cutting a long interview short. The generated summary covers the skim, and you can question the transcript directly, asking where pricing objections came up and jumping straight to the moment instead of scrubbing the timeline. Export to Markdown or DOCX and file the result in Notion or wherever your team keeps its decisions. These conversations are confidential, so prefer a GDPR compliant service that encrypts uploads over a free endpoint you know nothing about.
where the other tools fit
Dovetail and similar research repositories are built for the stage where you have a research team and a budget shaped like one. Otter is oriented around capturing live meetings as they happen rather than processing a backlog of files. The instant browser converters handle a short clip fine. For a two person team staring at six months of Voice Memos, the deciding questions are narrower: does it take .m4a natively, does it survive your longest interview, and does it leave text the whole team can search.
None of this asks you to do more research. The interviews happened and the recordings exist. Convert ten of them this week, and the next roadmap argument gets settled by what users said rather than by whoever remembers loudest.









