Typewriting AI

Product Introduction

1. Typewriting AI is an intelligent feedback tool that leverages large language models to engage customers in dynamic, human-like conversations, enabling businesses to gather deeper insights through natural dialogue. It replaces static forms with adaptive interactions that listen, ask follow-up questions, and clarify user intent in real time. The system integrates with a company’s knowledge base to provide instant, context-aware explanations about products or services during feedback sessions.
2. The core value of Typewriting AI lies in transforming customer feedback into meaningful two-way conversations that build trust, reduce frustration, and improve retention. By mimicking human interaction patterns, it captures nuanced insights traditional surveys miss, while its AI assistant proactively addresses customer concerns using predefined or custom knowledge sources. This approach ensures users feel heard and businesses gain actionable data to refine their offerings.

Main Features

1. Natural Conversations: The tool allows customers to express feedback in free-form text or voice, using natural language processing (NLP) to analyze sentiment, extract key themes, and guide the dialogue without rigid question structures. Unlike form-based systems, it supports branching conversations where users can introduce new topics organically.
2. Adaptive System: A machine learning-driven engine adjusts interaction styles based on user behavior, offering open-ended prompts for detailed feedback or structured questions for brevity. It dynamically prioritizes follow-up queries to uncover root causes of issues, such as asking “Can you elaborate on the delivery delay?” after detecting dissatisfaction in a logistics-related comment.
3. Real-time Insights: Feedback data is saved incrementally to a centralized dashboard, enabling businesses to monitor trends, sentiment scores, and unresolved queries as they emerge. Partial submissions from users who abandon conversations are retained, providing insights like “40% of users mentioned pricing confusion before exiting” for iterative improvements.
4. Smart Assistant: Integrated with company-specific knowledge bases, the AI answers customer questions during feedback sessions using verified information, such as explaining return policies or feature details. This reduces miscommunication and ensures consistency, even in complex scenarios like troubleshooting technical issues.

Problems Solved

1. Main pain point addressed: Traditional feedback tools limit customers to predefined options, failing to capture unstructured opinions or contextual frustrations. Typewriting AI solves this by enabling fluid dialogues that reveal hidden pain points, such as usability issues masked by 5-star ratings.
2. Target user group: The product serves SaaS companies, e-commerce platforms, and customer support teams needing qualitative insights beyond numerical ratings. It is particularly valuable for businesses with complex offerings requiring detailed user education, such as fintech apps or enterprise software.
3. Typical use case scenarios: A subscription service uses Typewriting AI to discover why users cancel trials, with the AI asking follow-ups like “Was the onboarding process unclear?” after a cancellation request. An e-commerce retailer identifies checkout friction points by analyzing free-form complaints about payment errors during peak sales.

Unique Advantages

1. Difference from similar products: Unlike survey platforms like Typeform or Qualtrics, Typewriting AI processes conversations contextually using GPT-4-level models, enabling multi-turn interactions that resolve ambiguities. Competitors lack real-time knowledge base integration for instant user support during feedback collection.
2. Innovative features: The system employs incremental data saving with version control, allowing businesses to track how feedback evolves mid-conversation. Its adaptive engine uses reinforcement learning to optimize question sequences based on industry-specific success metrics, such as reducing churn in SaaS.
3. Competitive advantages: A free tier supports up to 30 contacts with full feature access, lowering adoption barriers for startups. The proprietary NLP pipeline achieves 92% accuracy in intent classification across 15+ languages, outperforming generic chatbot frameworks like Dialogflow in handling industry jargon.

Frequently Asked Questions (FAQ)

1. How does Typewriting AI handle incomplete feedback submissions? The system saves all user inputs in real time, including partial responses, and flags incomplete sessions in the dashboard with timestamps and extracted keywords. Businesses can re-engage users via email with a personalized prompt like “We noticed you started discussing billing issues—would you like to continue?”
2. Can the AI assistant pull data from internal company documents? Yes, the tool ingests PDFs, Confluence pages, or CSV files to build a searchable knowledge base. During conversations, it cross-references user queries with this data using vector similarity search, ensuring answers align with internal guidelines.
3. Is the system GDPR-compliant for European users? All data is encrypted in transit and at rest, with optional on-premise deployment. Users can request data deletion via an automated API, and the dashboard includes consent management tools to track permission status across interactions.
4. What integrations does Typewriting AI support? It offers REST API endpoints and webhooks for syncing with CRM platforms like Salesforce, helpdesk tools like Zendesk, and analytics suites like Mixpanel. Custom JavaScript snippets can embed feedback widgets into existing web apps without requiring full-stack development.
5. How does pricing scale for enterprise plans? Beyond the Pro tier ($20/month for unlimited contacts), enterprise packages include SLA-backed uptime, dedicated instance deployment, and custom model fine-tuning using client-specific conversation logs. Volume discounts apply for annual contracts exceeding 10,000 monthly interactions.