AI-powered Product Tour
FreemiumInteractive product tours powered by AI
What does this tool do?
Told is a no-code platform for creating interactive product tours and collecting in-app user feedback through surveys. The core offering includes three main components: step-by-step product tours that guide users through features without code, contextual in-app surveys that appear at specific moments in the user journey, and longer-form surveys for deeper feedback collection. The platform emphasizes ease of use with drag-and-drop builders, AI-assisted question writing, smart triggering logic (showing surveys/tours based on user behavior), and real-time analytics dashboards. It positions itself as a safer alternative to hardcoding onboarding flows—changes can be deployed instantly without app updates. The tool integrates with popular platforms and includes mobile SDKs for iOS and Android, making it accessible for both web and mobile product teams.
AI analysis from Mar 13, 2026
Key Features
- No-code drag-and-drop builder for product tours, in-app surveys, and long-form surveys
- Smart triggering system to show tours/surveys based on user behavior, properties, or journey stage
- AI-assisted question writing to help teams formulate effective survey questions
- In-context personalization to customize tour/survey content based on user segments or attributes
- Real-time analytics dashboard with actionable insights and automatic data interpretation
- Multi-language support (15 languages) for global audiences
- Mobile SDKs for iOS and Android native app support
- Integration connectors for popular analytics and CRM platforms
Use Cases
- 1Onboarding new users through interactive product tours that reduce time-to-value and improve feature discovery
- 2Collecting feature feedback at critical moments in the user journey (e.g., after completing a task or abandoning a feature)
- 3Running NPS and satisfaction surveys in-app to measure customer sentiment without sending users to external forms
- 4Testing messaging and funnel optimization for marketing teams by surveying users about conversion friction points
- 5Supporting customer success by measuring satisfaction and capturing support issues before they escalate
- 6Validating new product ideas with targeted surveys to specific user segments before development investment
- 7Identifying and understanding churn reasons through exit surveys when users reach cancellation flows
Pros & Cons
Advantages
- True no-code builder allows product and non-technical teams to create and deploy tours/surveys in minutes without engineering dependencies
- Smart triggering and personalization enable contextual feedback collection at optimal moments, likely improving response quality and relevance over blast surveys
- Built-in analytics and smart reporting reduce the need for manual data analysis—insights are surfaced automatically rather than requiring SQL or BI skills
- Safe deployment without app updates means faster iteration and lower risk compared to hardcoding flows
- Supports 15 languages and includes GDPR/SOC2 compliance, making it suitable for international and regulated environments
Limitations
- Pricing details are not publicly available on the website, making it difficult to assess cost-effectiveness compared to competitors without contacting sales
- Heavy reliance on smart triggering and AI features may create a learning curve for teams unfamiliar with conditional logic and personalization setup
- Limited information on survey response rates, abandonment rates, or data quality metrics—the platform's effectiveness depends heavily on survey design
- No mention of A/B testing capabilities for tours or surveys, which limits optimization for teams wanting to test different messaging approaches
- Integration ecosystem appears limited—while SDKs are mentioned, only logos of integrations are shown without detailed information on depth of integration
Pricing Details
Pricing details not publicly available. The website displays a 'Pricing' link but content is not accessible from the provided markdown. A free trial ('Try for free') is offered, but tier limits and paid plan pricing require sign-up or contacting sales.
Who is this for?
Product managers and product teams seeking user feedback infrastructure, marketing teams optimizing conversion funnels, customer success and support teams measuring satisfaction, and companies with 100-5000+ employees that need scalable feedback collection without hiring engineers. Best suited for SaaS and web/mobile product companies prioritizing rapid iteration and data-driven decisions.