Asklet

Product Introduction

1. Asklet is a customer feedback widget designed to collect detailed insights through dynamic, context-aware questions that adapt based on user responses. It supports both voice and text input, enabling businesses to gather richer qualitative data compared to static surveys. The tool integrates directly into websites or applications, allowing real-time interaction without disrupting user workflows. Its AI-driven analysis identifies patterns and prioritizes actionable issues from feedback.

2. The core value of Asklet lies in transforming generic feedback scores into granular, actionable insights by capturing nuanced customer sentiments. Unlike traditional methods like NPS, it uses adaptive questioning to uncover root causes behind ratings, reducing ambiguity for businesses. This enables faster issue resolution, improved customer experience, and data-driven decision-making aligned with user needs.

Main Features

1. Dynamic Question Branching: Asklet’s questions adjust in real time based on initial responses, prompting users for deeper clarification or context. For example, a low NPS score triggers follow-up questions about specific pain points, while a positive review solicits feature requests. This logic is customizable via a no-code editor, allowing precise tuning for different use cases.

2. Voice-to-Text Analysis: Users can respond via voice, with Asklet transcribing and analyzing speech in real time using proprietary AI models. Sentiment detection categorizes feedback as positive, neutral, or critical, while keyword extraction identifies recurring themes like "slow checkout" or "bug reports." All processing occurs on secure servers without relying on third-party APIs like ChatGPT.

3. Embedded Analytics Dashboard: Feedback is automatically visualized in a dashboard that tracks sentiment trends, response volumes, and issue prioritization. Users can filter data by date, response type, or custom tags, and export reports via CSV/JSON. The dashboard integrates with tools like Medallia and Qualtrics through pre-built connectors or REST APIs.

Problems Solved

1. Traditional surveys often yield shallow data (e.g., numerical scores) that lack context for meaningful action. Asklet solves this by capturing detailed qualitative feedback through adaptive dialogues, ensuring businesses understand the "why" behind ratings. This reduces reliance on guesswork to interpret vague responses.

2. The product targets customer experience teams, product managers, and SaaS companies needing to close feedback loops rapidly. It is particularly effective for industries like e-commerce, hospitality, and software development, where timely user insights drive retention and innovation.

3. Common scenarios include post-purchase feedback collection, in-app user experience monitoring, and service quality assessment for hotels or restaurants. For example, a retailer can identify checkout friction points via voice responses, while a SaaS company tracks feature requests linked to user IDs for follow-up.

Unique Advantages

1. Unlike competitors relying on generic LLMs, Asklet uses purpose-built AI models fine-tuned for feedback analysis, ensuring higher accuracy in sentiment and intent detection. It combines voice and text modalities in a single platform, eliminating the need for separate transcription tools. Early adopters receive lifetime free access to core features, bypassing subscription costs.

2. Innovations include real-time question adaptation based on response sentiment and automated issue tagging for analytics. The upcoming "Close the Loop" feature will enable businesses to link feedback to specific user profiles, streamlining follow-up actions like personalized emails or support tickets.

3. Competitive strengths include GDPR compliance, end-to-end encryption, and full data ownership for users. Sunbeam’s infrastructure ensures feedback is never used to train external AI models, addressing privacy concerns common in third-party survey tools. Pre-built integrations reduce setup time to under 10 minutes.

Frequently Asked Questions (FAQ)

1. How secure is Asklet for handling sensitive customer data? All data is encrypted using AES-256 both in transit and at rest, with compliance certified under GDPR and CCPA. Sunbeam does not share data with third parties or use it to train public AI models, ensuring full ownership remains with the user. Audit logs and access controls are available for enterprise clients.

2. What happens when the launch offer ends? Early users retain free access to all current features indefinitely, including analytics and voice processing. Future premium features (e.g., advanced integrations or team collaboration tools) may require payment, but core functionality will remain free. Limited spots ensure server stability during scaling.

3. Can Asklet replace existing survey tools like SurveyMonkey? Yes, it provides deeper insights through adaptive questioning and voice analysis while supporting seamless data export to platforms like SurveyMonkey or Qualtrics. However, it is optimized for brief, targeted feedback rather than long-form surveys, making it ideal for high-response-rate scenarios.