Creating a customized Thingy for a company is a collaborative and iterative process.
It requires an in-depth understanding of the company's needs, diligent data collection, and continuous refinements. The result is a unique AI entity that embodies the company's knowledge and values, serving as an efficient and reliable representative.
Creating a customized Thingy for a company is a collaborative and iterative process. It requires an in-depth understanding of the company's needs, diligent data collection, and continuous refinements. The result is a unique AI entity that embodies the company's knowledge and values, serving as an efficient and reliable representative.
Objective Definition: Understand the company's goals for their Thingy. Is it for customer support, internal training, sales, etc.? Scope of Knowledge: Define the depth and breadth of information Thingy should possess.
Internal Documentation: Gather manuals, training guides, product specifications, FAQ, and any other proprietary documentation. Company's Digital Footprint: Source content from the company website, blogs, press releases, and other official publications.User Interactions: If permitted, analyze customer emails, chats, and reviews to understand common queries and feedback. Media & Multimedia: Collect videos, podcasts, webinars, and any other audio-visual resources. Interviews: Conduct sessions with subject matter experts, department heads, and long-standing employees to tap into tacit knowledge.
Categorize Data: Group data based on topics, departments, or product lines.Format Uniformity: Convert all gathered data into a standardized format suitable for the AI to process.Eliminate Redundancies: Ensure no repetitive or outdated information is fed into the system.
Data Accuracy: Cross-check information with multiple sources to ensure accuracy.Legal & Compliance Review: Ensure all shared data adheres to regulations, especially concerning privacy, intellectual property, and confidentiality.Feedback Loop: Let a subset of company employees interact with the preliminary Thingy to identify gaps or inaccuracies.
Feed Data: Integrate the structured data into the Thingy platform.AI Training: Use Machine Learning algorithms to process and understand the data. This step might involve supervised learning, where the AI is guided to provide correct responses.Iterative Testing: Regularly test the AI's responses to ensure it's providing accurate and useful answers.
Regular Data Updates: Establish a system where the company can provide regular data updates, ensuring Thingy remains up-to-date.Feedback Integration: Incorporate user feedback to continuously refine the AI's responses.
Ensure Thingy seamlessly integrates with the company's existing digital platforms – website, mobile app, etc.Training: Conduct sessions to train company staff on maximizing the use of their new Thingy.Launch: Officially introduce the company's Thingy to the intended audience.
Performance Metrics: Monitor how the Thingy is performing based on predefined KPIs.User Feedback Collection: Actively seek feedback from users and make necessary adjustments.
Measurable Outcomes: Determine a desired outcome with Thingy by beginning with 'the end in mind.' Thingy allows you to determine content mapping, segmentation and intention workflows in an effort to achieve specific measurable outcomes, also known as Key Performance Indicators (KPIs). Set measurable metrics used to evaluate the success or effectiveness of 'Thingy.' For example, increase a specific Call-To-Action (CTA).
Acquisition
Onboarding
Retention & Growth
Content Mapping: Mapping content to conversational flows and user journeys to ensure logical structuring and seamless navigation.
Segmentation: Segmenting content based on user intent, context, and engagement levels to deliver personalized and relevant responses.
Our support team will provide you the information we need, such as high quality videos, to train thingy with the most enhanced accuracy and user experience.
Voice and Video Training: Users can upload high-quality video and audio recordings. 'Thingy' utilizes advanced Natural Language Processing (NLP) algorithms to transcribe and analyze the video and voice data.
Benefits of High-Quality Video Training: Through video and voice training, 'Thingy' learns to recognize various accents, tones, speech patterns, gestures and much more, improving its ability to understand and respond to spoken queries effectively.
Higher Quality Input = Higher Quality Output: Enhanced Accuracy. Comprehensive Understanding. Improved UX.
Content, Training, and Customization and the building blocks of 'Thingy.' Here's how it works:
Content: You provide us with your data, documents, and information that represent your brand, products, and services.
Training: We use this content to train 'Thingy' using advanced AI algorithms, teaching it to understand and respond to user inquiries effectively.
Customization: Through tailored training sessions, we ensure that 'Thingy' embodies your brand's voice, personality, and values, making it uniquely yours.
User Interface (UI) and User Experience (UX): "Thingy" boasts an intuitive and user-friendly interface designed to facilitate seamless interactions between users and the AI engine.
Analytics:"Thingy" incorporates robust analytics capabilities to track and analyze user interactions, engagement metrics, and performance indicators.
Launching 'Thingy' and going live with your conversational AI experience is an exciting step. Here's how we make it happen:
Testing and Optimization: Before going live, we conduct rigorous testing to ensure that 'Thingy' operates flawlessly and meets your expectations.
Deployment: Once testing is complete, we deploy 'Thingy' across your chosen communication channels, whether it's your website, mobile app, or other platforms.
Launch Support: Our team provides dedicated launch support, guiding you through the process ensuring a successful deployment of 'Thingy' to your audience.
