
About This Agent
Surva.ai is an AI-native survey and feedback automation platform that combines generative AI with multi-channel distribution to streamline the collection, analysis, and application of customer insights. The core agent architecture automates the end-to-end survey lifecycle: it generates context-aware questionnaires from raw business objectives, deploys them across email, web, and social channels, and applies natural language processing to extract actionable intelligence from open-ended responses. The system also includes an automated review solicitation engine that identifies high-satisfaction customers and triggers targeted requests for testimonials and ratings, feeding a dynamic 'Wall of Love' for social proof. By eliminating manual survey design, fragmented distribution, and tedious response analysis, Surva.ai reduces the operational friction in Voice of Customer programs, churn risk assessment, and product-market fit validation. It is particularly effective for cross-border e-commerce brands seeking localized feedback, SaaS companies monitoring renewal sentiment, and customer care teams triaging satisfaction drivers. Typical deployments achieve a 60-70% reduction in survey creation time, a 3-5x increase in response rates through channel optimization, and a 40% faster turnaround from raw feedback to executive-ready insight reports.
Agent Capabilities
- AI Survey Generation: Automatically creates targeted, unbiased questionnaires from plain-language business goals, reducing design time from hours to minutes.
- Multi-Channel Survey Sharing: Distributes surveys via email, SMS, web embeds, and QR codes, with channel-specific optimization to maximize response rates.
- Automated Review Requests: Identifies high-satisfaction customers based on survey responses and triggers personalized review solicitations on platforms like Google and Trustpilot.
- Targeted Review Solicitation: Uses predictive scoring to select the right customers for review requests, avoiding survey fatigue and protecting brand reputation.
- Testimonial Wall of Love: Aggregates and displays verified testimonials and ratings in a customizable, embeddable gallery for use on landing pages and product sites.
- AI-Driven Insights: Applies sentiment analysis and thematic clustering to open-ended responses, surfacing key drivers of satisfaction and churn without manual coding.
- Customizable Survey Design: Offers white-label theming, conditional logic, and multiple question types to align with brand identity and research needs.
- Survey Performance Tracking: Provides real-time dashboards for completion rates, drop-off points, and channel effectiveness, enabling continuous optimization.
Primary Workflows & Use Cases
- Cross-border e-commerce brands can deploy localized post-purchase surveys to measure product satisfaction and collect region-specific testimonials for global marketing.
- SaaS customer success teams can automate churn risk surveys after onboarding and usage milestones, using AI insights to prioritize retention playbooks.
- Enterprise product teams can run concept validation surveys across email and web, with AI-generated questions that reduce bias and accelerate iteration cycles.
- Customer care triage units can embed post-interaction satisfaction surveys in email signatures, automatically escalating negative feedback to human agents.
- Agencies managing multi-location businesses can use targeted review solicitation to boost local SEO rankings and populate a unified Wall of Love for franchise sites.
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