Product Introduction
Definition: Told is an AI-powered Digital Adoption Platform (DAP) and Customer Feedback ecosystem designed to streamline user onboarding and product discovery. It functions as a no-code interface layer that sits atop web and mobile applications, allowing teams to deploy interactive walkthroughs, tooltips, and contextual surveys without modifying the underlying source code. Technical integration is handled via lightweight SDKs compatible with major frameworks and platforms, including iOS and Android.
Core Value Proposition: Told exists to bridge the gap between user activation and continuous feedback loops. By integrating AI-powered product tours with real-time in-app surveys, the platform enables SaaS companies to drive "Time to Value" (TTV) and increase retention rates. The primary goal is to provide a unified environment where product teams can guide users through complex workflows while simultaneously capturing qualitative data to inform the product roadmap.
Main Features
AI-Powered Interactive Product Tours: Told utilizes an AI-assisted engine to help product managers generate step-by-step interactive guides. These tours leverage CSS selector technology to anchor tooltips and highlights to specific UI elements, ensuring that guidance remains accurate even if the layout shifts slightly. The "Cerebro AI" (currently in beta) assists in writing concise, engaging microcopy for each step, optimizing for clarity and user conversion.
Multi-Channel Feedback Engine: Unlike standalone onboarding tools, Told includes a comprehensive survey suite. This includes in-app surveys (modals or slide-outs), mobile-specific SDK surveys, long-form surveys, and email-based feedback loops. Technical triggers allow these surveys to be deployed based on specific user behaviors (events), such as completing a milestone or spending a certain amount of time on a page.
Smart Triggering and Segmentation: The platform features a robust logic engine that determines when and to whom a tour or survey is shown. Users can be segmented based on attributes (e.g., plan type, sign-up date) or behavioral triggers (e.g., clicked "Export" button). This ensures that "in-context personalization" occurs, preventing survey fatigue and ensuring high response rates (boasting over 19 million responses collected to date).
Built-in Analytics and Reporting: Told provides a real-time dashboard that visualizes tour completion rates, drop-off points, and survey sentiment analysis. This allows teams to identify friction points within the onboarding funnel immediately. The data can be exported or integrated into existing tool stacks (CRMs, CDPs) for cross-platform data synchronization.
Problems Solved
High Initial Churn and Poor Activation: Many SaaS products lose users within the first 24 hours because the interface is too complex. Told addresses this "Product-Led Growth" (PLG) hurdle by providing immediate guidance that highlights key features, ensuring users reach their "Aha!" moment faster.
Engineering Bottlenecks: Traditionally, creating product tours or feedback forms required developer resources and sprint cycles. Told solves this by offering a "no-code" editor, giving Product Managers and Marketers the autonomy to deploy, test, and iterate on onboarding flows without touching the codebase.
Fragmented User Data: Companies often use one tool for tours (like Appcues) and another for surveys (like Typeform or Hotjar). Told consolidates these functions, eliminating data silos and reducing the "total cost of ownership" (TCO) for the marketing and product stack.
Target Audience:
- Product Managers: Looking to increase feature adoption and gather NPS/CSAT data.
- Growth Marketers: Focused on optimizing the conversion funnel and reducing onboarding friction.
- Customer Success/Support Teams: Aiming to reduce support ticket volume by providing proactive, self-service guidance.
- UX Researchers: Needing a way to conduct in-context user testing and sentiment analysis.
Unique Advantages
Unified Guidance and Feedback: Told’s primary differentiator is the "Survey + Tour" hybrid model. Most competitors focus on one or the other. Told allows a team to guide a user through a new feature and then immediately trigger a survey asking for their opinion on that specific feature, creating a seamless feedback loop.
Enterprise-Grade Security and Compliance: Despite its ease of use, the platform is built for scale and security. It is GDPR and SOC2 compliant, ensuring that user data is handled according to international privacy standards. It also features "Safe Updates," meaning the secondary layer does not interfere with the app's performance or security architecture.
AI-Assisted Content Strategy: The inclusion of AI for writing and reporting reduces the cognitive load on product teams. The AI helps in phrasing questions for surveys to avoid bias and summarizes large volumes of feedback into actionable insights automatically.
Frequently Asked Questions (FAQ)
How do AI-powered product tours improve user onboarding? AI-powered product tours use machine learning to assist in content creation and behavior-based triggering. By analyzing user patterns, these tours can be personalized to show the most relevant features to the right user at the optimal time, significantly reducing "Time to Value" and increasing initial activation rates without requiring manual coding.
Can Told surveys be integrated into mobile apps? Yes. Told provides dedicated SDKs for both iOS and Android, allowing product teams to trigger native in-app surveys and feedback prompts. This ensures a consistent user experience across web and mobile platforms, with all data centralized in a single analytics dashboard.
How does Told compare to traditional tools like Pendo or Appcues? Told offers a more integrated approach by combining interactive walkthroughs and sophisticated survey tools in one platform at a lower total cost. While traditional tools often require complex setups, Told emphasizes a "no-code, fast-to-build" philosophy with a specific focus on AI-assisted workflows and real-time sentiment analysis, making it more accessible for agile product teams.
