AudioForms
Ai-Powered Voice Surveys
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AudioForms - AI-Powered Voice Surveys

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Boost engagement with voice surveys and audio forms. Easily add audio to survey forms, capture voice-of-customer (VOC) feedback, gather deeper insights. Ideal for product managers, marketers, researchers, and support teams seeking powerful user research tools.

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Maker
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Hey! I’m Deepa, a UX Researcher / Designer and a Product Builder. In my past life as a UX researcher, I've spent too many hours spent transcribing user interviews and sorting through messy notes, so I decided to build something to make my job easier.

It’s called AudioForms — a simple way to collect voice responses instead of written ones. Great for getting quick and async feedback without needing to schedule calls or do full interviews.

Why voice surveys?
- People talk more naturally than they write
- You still get tone, context, emotion
- Responses are auto-transcribed and come with sentiment analysis — so you know not just what they said, but how they felt about it.

It’s been super useful for async interviews, idea validation, and feedback collection — perfect for UX Researchers, Product Managers, Marketing and CS teams or anyone looking to get voice-of-customer feedback.

Here’s a quick demo 👇

Pretty cool idea! I feel like people are way more real when they talk than when they type. Wonder how good it is at picking up stuff like sarcasm or different accents.

Awesome stuff! I conduct so many interviews – this will be a game-changer.

I've been looking long for the product for ux design, so lucky to discover the voice survey tool. Will defintely use this in the upcoming research!

This is such a smart shift—voice captures nuance text just can’t. How are you handling background noise or accents in transcription? That can make or break insights in real-world usage.

Maker

 Hey Shreyans - Thanks so much! Totally agree with you, voice captures so much nuance that text sometimes just misses. Right now, the API that we are using does a great job handling background noise and different accents- so that takes a big chunk of the heavy lifting off our plate. In the future, there is a plan to add a feature where users can flag any parts of the transcription that seems off or inconsistent - that will help us in improving and spotting patterns over time.

Thanks for bringing that up - always curious how others are thinking about this too. Let me know if you have more questions.

Hey this looks like it could have been cool, can I ask why you abandoned it?