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Audiform

Free plan available

AI Voice Surveys that Turn Every Call into Clarity

Voice-based surveys
Ai conversational agent
Customer feedback analysis

About Audiform

Launched May 13, 2025

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Email :

[email protected]

Industry :

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Introduction Video

Description

AI Voice Surveys that Turn Every Call into Clarity

Audiform let's you create, collect, and analyze voice-based surveys at scale with AI. Our conversational AI agent can call your customers to gather valuable insights and feedback within few minutes.
Audiform website

Audiform Key Features

  • ✅ Instant AI survey generation from simple text or voice prompts
  • ✅ Conversational AI that captures genuine thoughts via calls
  • ✅ Automatic analysis that surfaces actionable insights and recommendations
  • ✅ Industry specific templates for customer feedback, market research, employee engagement, and more, and
  • ✅ Up to 10x more detailed insights compared to traditional surveys

Audiform Use Cases

  • Product teams gathering user feedback, HR leaders conducting employee surveys, researchers collecting market insights, healthcare providers understanding patient experiences, and anyone seeking richer understanding and feedback.

Pros

  • Efficient data collection: Audiform allows for the creation and collection of voice-based surveys at scale, making data gathering more efficient.
  • AI-driven insights: The use of AI ensures valuable insights and efficient analysis of collected survey data.
  • Time-saving: The AI conversational agent can gather customer feedback within a few minutes, saving time for both users and customers.
  • Automation: The app automates the process of calling and gathering data, reducing the manual effort involved.

Cons

  • Potential language barriers: The AI may struggle with understanding diverse accents or languages, impacting the quality of data collected.
  • Privacy concerns: Users and their customers might be concerned about the security and privacy of voice data being collected and stored.
  • Dependence on AI: Over-reliance on AI may lead to missing nuanced feedback that human interaction might capture.
  • Technical issues: Users might face challenges with app technicalities or integration issues with their existing systems.

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