ToolNest AI

MagicLoop

Voice survey tool for better customer feedback and deeper user insights.

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MagicLoop

What is MagicLoop?

MagicLoop is a voice survey tool designed to gather more detailed and qualitative responses by allowing participants to answer vocally using their microphone. It helps unlock user insights easily and quickly, guiding decision-making with data-driven precision. MagicLoop replaces written feedback with spoken feedback, offering richer and more nuanced voice responses.

How to use

To use MagicLoop, you first create or generate your survey questions. Then, you send these questions to your respondents. Next, you collect voice recordings from your respondents. Finally, you generate insights using AI analysis of the voice data.

Core Features

  • Voice surveys for richer data insights
  • AI analysis and summary of voice responses
  • Speech to text transcription
  • Custom branding and domain options
  • Slack integration

Use Cases

  • User Research
  • Satisfaction Survey
  • NPS (Net Promoter Score)
  • Feedback collection
  • Market Research
  • Data Monitoring

FAQ

How does MagicLoop work?
MagicLoop allows you to create voice surveys, send them to respondents, collect voice recordings, and generate insights with AI analysis.
What are the benefits of using voice surveys?
Voice surveys capture emotions, tone, and nuances, offering a deeper understanding of participants' feelings and intentions. They also lead to better participant engagement and more detailed responses.
What kind of analysis does MagicLoop provide?
MagicLoop provides AI analysis and summary of voice responses, including speech-to-text transcription.

Pricing

Starter
€25/month
Unlimited Loops, 2h30 audio included, Speech to text transcription, AI Analysis and Summary
Pro
€95/month
Everything in Starter plus... 10h audio included, Custom branding, Custom domain, Slack connect
Enterprise
Custom
Everything in Pro plus… Custom audio hours, Dedicated CS manager, SAML-based SSO

Pros & Cons

Pros
  • More detailed and nuanced responses
  • Better participant engagement
  • Higher accuracy compared to written surveys
  • Increased participant satisfaction
  • Reduced bias compared to traditional surveys
  • Ease of answering open-ended questions
Cons
  • Reliance on microphone quality for clear recordings
  • Potential privacy concerns with voice data
  • Dependence on AI for accurate analysis and transcription