MagicLoop transforms traditional surveys by replacing written responses with voice feedback, offering richer, more nuanced insights and higher participant engagement.
MagicLoop transforms traditional surveys by replacing written responses with voice feedback, offering richer, more nuanced insights and higher participant engagement.
MagicLoop is an innovative survey tool that enhances feedback quality by using voice responses instead of written ones. Participants provide their feedback verbally, which captures emotions, tone, and nuances, offering a deeper understanding of their feelings and intentions. This approach leads to more interactive and engaging surveys and significantly reduces response biases. MagicLoop also offers AI analysis of the collected voice data, providing comprehensive insights and summaries, which save time and improve decision-making processes.
Who will use MagicLoop?
Product Managers
Market Researchers
User Researchers
Customer Service Teams
Survey Analysts
How to use the MagicLoop?
Step1: Create or generate your survey questions.
Step2: Send the questions to your respondents.
Step3: Collect voice recordings from your respondents.
Step4: Generate insights with AI analysis.
Platform
web
MagicLoop's Core Features & Benefits
The Core Features
Voice responses
AI analysis
Speech to text transcription
Custom branding
Slack connect
The Benefits
Higher accuracy
In-depth insights
Increased participant engagement
Reduced response bias
Time-saving analysis
MagicLoop's Main Use Cases & Applications
User Research
Satisfaction Survey
NPS
Feedback Collection
Market Research
Data Monitoring
MagicLoop's Pros & Cons
The Pros
Enables higher quality and richer survey responses via voice
Captures emotions and nuanced data increasing insight depth
Improves participant engagement and satisfaction
AI analysis automates insight generation
Applicable to various research and feedback scenarios
The Cons
No visible open-source repository available
No mobile apps or additional platform integrations found
Relies on users' willingness to use voice responses