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ngsurvey.com
✓ verifiedPaid
Cloud or on-premise survey platform with an AI agent, Artemis, that designs surveys and analyzes responses for insights.
1.8K visits/mo
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spiralup.co
✓ verifiedFreemium
AI agent that reads through app reviews, chats, calls and surveys so teams can ask questions about customer feedback in plain language.
4.7K visits/mo
Pricing
Starter: €25/month
Pro: €95/month
Enterprise: Custom
No public pricing
Starter: $19 /month
Pro: $49 /month
Free: $0/month (one-time Google Play review scan, 20 queries/day, basic sentiment analysis)
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
- ✦Cloud or on-premise deployment
- ✦Artemis AI agent for survey design
- ✦Drag-and-drop survey builder
- ✦Automated, real-time response analysis
- ✦Multi-channel distribution
- ✦Actionable reporting tied to business goals
- ✦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)
- ✦Conversational AI querying of aggregated customer feedback
- ✦Sentiment and theme analysis across channels
- ✦Multi-channel ingestion (reviews, chats, calls, surveys)
- ✦Automated daily/weekly AI digest reports
- ✦PII redaction and SOC 2 compliance
- ✦Integrations with platforms like Zendesk, Salesforce and Qualtrics
Use cases
- →User Research
- →Satisfaction Survey
- →NPS (Net Promoter Score)
- →Feedback collection
- →Market Research
- →Data Monitoring
- →Run enterprise customer-experience surveys
- →Measure employee engagement
- →Analyze survey responses automatically
- →Deploy surveys on-premise for data control
- →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
- →Product teams identifying top user complaints and feature requests
- →Customer support tracking sentiment trends over time
- →Enterprises unifying feedback taxonomy across multiple channels
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