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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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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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Yabble
✓ verifiedPaid
AI research platform that builds virtual audience personas and analyzes qualitative data for insights teams.
5.5K visits/mo
Pricing
Starter: €25/month
Pro: €95/month
Enterprise: Custom
Starter: $19 /month
Pro: $49 /month
No public pricing
Tier 0: $8,900/yr
Tier 1: $20,000/yr
Tier 2: $40,000/yr
Tier 3: $80,000/yr
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
- ✦Virtual Audiences: AI personas that answer business questions
- ✦Gen AI research assistant for data analysis
- ✦Count: automated theming and sentiment counting
- ✦Summarize: condenses long-form data into summaries
- ✦Unlimited user licenses on annual plans
- ✦API access for linking data
- ✦CSV upload support
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
- →Market researchers validating creative concepts with AI personas
- →Insights teams analyzing open-ended survey responses
- →Agencies summarizing qualitative interview transcripts
- →Marketing teams needing fast audience feedback without fieldwork
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