Conversation Bot for Automatic Form Data Collection

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Solution Overview

Problem

Analyzing user-collected data across different response forms is complex due to variations in form types and user responses, making it difficult to collect and relate data efficiently.

Innovation Solution

Automatically generating a conversation bot using an input form document to standardize user responses, validate data types, and correlate responses across different forms by configuring the bot to ask specific questions and enforce valid responses.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If user data is collected from various different forms with different questions and formats, then the quantity of user data collected increases, but the complexity of analyzing and relating the collected data increases

Engineering Contradiction:
Improvequantity of user dataVSAvoidcomplexity of data analysis
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent creates a universal data collection system that can handle multiple different form types through a single conversation bot platform. The bot is configured to understand and process various form formats (employment forms, job history forms, etc.) and normalize their data into a consistent structure, allowing one system to serve multiple data collection functions while maintaining analysis simplicity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system transforms unstructured or semi-structured form data into standardized parameters and data types. By converting diverse user responses into consistent data formats with defined schemas, the system enables efficient analysis while collecting from multiple form types, resolving the contradiction between data quantity and analysis complexity

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If different users respond with answers in vastly different formats across different forms, then the adaptability of the data collection system increases, but the difficulty of relating and analyzing responses increases

Engineering Contradiction:
Improveadaptability to different response formatsVSAvoiddifficulty of relating responses
Core Design Contradiction:
Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The conversation bot enforces standardized data types and parameter schemas for all user responses regardless of the original form type. User inputs are validated and transformed into consistent formats (e.g., dates, enums, structured objects), making it easy to relate and analyze responses across different forms while maintaining adaptability to various question types

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The conversation bot acts as an intermediary layer between diverse user responses and the analysis system. It normalizes and standardizes all incoming data before passing it to analysis tools, thereby simplifying the detection and measurement of responses while preserving the ability to handle various response formats

Inventive Principle:
Principle #24Intermediary (Mediator)

3Ease of manufacture

If manual data collection from user responses is performed traditionally using form documents, then the simplicity of the data collection process is maintained, but the productivity and efficiency of data collection decrease

Engineering Contradiction:
Improvesimplicity of data collection processVSAvoidproductivity of data collection
Core Design Contradiction:
Ease of manufactureVSProductivity

Solution Approach 1:

The conversation bot autonomously collects, validates, and stores user data without requiring manual intervention for each data entry. The system self-manages the data collection process by automatically configuring itself based on form definitions and handling user interactions, thereby maintaining process simplicity while dramatically improving productivity

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical data collection processes (physical forms, manual entry) with an automated conversational AI system. This substitution maintains the simplicity of interaction for users while enabling high-volume automated data collection and processing, resolving the contradiction between process simplicity and productivity

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11727213B2Automatic conversation bot generation using input form
Publication Date: 2023.08.15 SERVICENOW INC
  • US11727213B2 patent drawing
  • US11727213B2 patent drawing
  • US11727213B2 patent drawing

AI summary

An input document data is received. The input document data is analyzed to automatically identify one or more response fields and one or more corresponding text labels laid out in the input document data. A conversation bot is automatically configured to provide one or more requests to provide one or more responses corresponding to the one or more response fields, receive the one or more responses, and store the one or more responses in a persistent computer storage.