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Kraftful
✓ verifiedFreemium
AI copilot that analyzes user feedback from reviews, surveys, calls, and tickets into product insights (now Amplitude).
4.7K visits/mo3.2K saves
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ClientZen
✓ verifiedFree trial
AI feedback-analytics platform that auto-tags customer feedback and surfaces recurring issues, sentiment drivers and requests.
2.7K visits/mo2.2K saves
Pricing
Starter: €25/month
Pro: €95/month
Enterprise: Custom
Starter: $19 /month
Pro: $49 /month
No public pricing
Essential: EUR190/mo (1,000 conversations/mo, billed yearly)
Pro: EUR690/mo (5,000 conversations/mo, billed yearly)
Free trial available
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
- ✦AI-powered survey builder
- ✦Drag-and-drop interface
- ✦Advanced conditional logic
- ✦Real-time insights
- ✦Flexible distribution tools (links, QR codes, embeds)
- ✦Automatic result summarization
- ✦Seamless exporting (CSV, PDF)
- ✦Feedback aggregation from 30+ sources
- ✦AI insight extraction with hallucination detection
- ✦Trend tracking over time
- ✦Custom questions on feedback data
- ✦Automated user-story generation
- ✦Automated feedback tagging and classification
- ✦Recurring issue and contact-reason insights
- ✦Sentiment analysis and negative-driver detection
- ✦Mantra AI question-answering copilot
- ✦Real-time monitoring and anomaly alerts
- ✦Customer journey mapping
Use cases
- →User Research
- →Satisfaction Survey
- →NPS (Net Promoter Score)
- →Feedback collection
- →Market Research
- →Data Monitoring
- →Building surveys in seconds with AI
- →Tailoring survey interactions to specific user segments
- →Sharing surveys across any platform
- →Analyzing survey responses immediately upon submission
- →Building surveys collaboratively with team members
- →Analyzing large volumes of user feedback
- →Prioritizing product fixes and features
- →Tracking sentiment and trends over releases
- →Generating user stories from feedback
- →Analyze customer feedback at scale
- →Prioritize the most common pain points
- →Track sentiment and feature requests
- →Monitor feedback spikes in real time
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