@regscale/regml-questionnaire-builder v0.1.1

RegML Questionnaire Builder - @regscale/regml-questionnaire-builder

RegML Questionnaire Builder is an AI-driven utility to create questionnaires based on a given topic, goals, sections, and the intended audience.

Installation

Clone this repository and change directory to be in the repository.

Install Using NPM

npm install @regscale/regml-questionnaire-builder

Install Using Yarn:

yarn add @regscale/regml-questionnaire-builder

Usage

Create an instance of RegmlQuestionnaireBuilder and then call its run method with appropriate arguments.

The code snippet below demonstrates how to use RegmlQuestionnaireBuilder:

import {RegMLQuestionnaireBuilder} from '@regscale/regml-questionnaire-builder'

// const regml = ... Initialize an instance of RegML here...
const builder = new RegmlQuestionnaireBuilder(regml);

(async () => {
    const result = await builder.run({
        topic: "Climate Change",
        goals: ["Understand public perception", "Analyze effects on daily life"],
        sections: ["Public Opinion", "Daily Life Impact"],
        intendedAudience: "General Public"
    });
    
    console.log(result.parsed.questions);
})();

Input

The run method of RegmlQuestionnaireBuilder accepts an object of type RegMLQuestionnaireBuilderArgs.

Here's a sample input:

{
    topic: "Climate Change",
    goals: ["Understand public perception", "Analyze effects on daily life"],
    sections: ["Public Opinion", "Daily Life Impact"],
    intendedAudience: "General Public"
}

• topic: This is the main theme that the questionnaire should cover.
• goals: These are additional specific objectives for the questionnaire (optional).
• sections: These are the segments of the questionnaire to be created (optional).
• intendedAudience: Specifies the target group for the questionnaire.

Output

RegMLQuestionnaireBuilder yields a result of type RegMLQuestionnaireBuilderResponse. Here's an example output based on the input provided above:

{
    parsed: {
        questions: [
            {
                section: "Public Opinion",
                question: "Do you believe in Climate Change?",
                type: "boolean"
            },
            {
                section: "Public Opinion",
                question: "What are the main causes of Climate Change, according to you?",
                type: "string"
            },
            {
                section: "Daily Life Impact",
                question: "How has Climate Change affected your daily life?",
                type: "string"
            }
        ]
    },
    raw: {
        responses: [...]
    }
}

• parsed: This contains the structured data - which consists of an array of objects each representing a question.
• raw: Includes the raw responses received from OpenAI.