AI Chatbot Development for Collecting Stakeholder Interviews

Ideation

UX Strategy

UI/UX Design

Front-end

Back-end

AI Development

Maintenance and Support

About the Client

Causal Map provides organizations and researchers with an online research tool that
facilitates the analysis and visualization of complex relationships in a clear and
structured manner through causal mapping.

Industry:

Research

Client:

Causal Map

Country:

Time Frame:

5 months

Team:

Project Manager

UI/UX Designer

Full-Stack Developer

AI Developer

QA Engineer

Business Goal

Development of a high-load conversational AI chatbot capable of withstanding thousands of concurrent users. The primary function of the AI chatbot is to collect interviews from respondents using the OpenAI API seamlessly. It should leverage natural language processing (NLP) to generate human-like responses and to promptly generate questions, gathering the necessary information.

About
the Project

Challenge

The client was actively searching for a business-oriented tech partner with AI development expertise. They wanted a partner who would be proactively engaged in business analysis, idea generation, design, and development processes. As a result, Causal Map reached out to Altum Software with a request to assist them in developing and integrating the AI chatbot called Qualia into their website.

The client required the conversational AI chatbot to have a reliable and scalable infrastructure that would ensure uptime, high performance, and fast response time. Additionally, the following tasks were set to Altum’s team:

Ensure that Qualia accurately understands user intent to reduce irrelevant responses and deliver the right answers quickly and efficiently, impacting user satisfaction.
Integrate the AI chatbot with advanced natural language processing (NLP) functionality to craft human-like responses.
Design an appealing user-friendly interface with seamless UX across devices.
Optimize responses time to ensure real-time interaction with users.
Implement data storage solutions for efficient interviews’ data storage.
Ensure the security and privacy of respondents’ data.

After gathering all the client’s requirements and preferences, we got down to business.

Solution

Before starting artificial intelligence chatbot development, we dived into profound business analysis and brainstorming sessions for ideas generation. After analyzing the market and understanding respondents’ needs, we defined the features and functionality of the chatbot. Then, we began the process of mapping out Qualia’s conversation flow and script, considering all the potential user answers.

To empower Qualia with human-like responses, Altum’s team implemented an advanced GPT-4 model and developed specific prompts for generating the right responses based on user context and input. After refining it with field-specific data, we leveraged the power of a natural language processor, specifically Amazon Lex, to precisely interpret respondents’ intent and extract entities. We also developed the knowledge base for the AI-based chatbot to enable Qualia’s continuous learning and improvement.

After the AI chatbot design stage, we set about the development. For cloud infrastructure, we opted for AWS EC2. The front-end was developed leveraging ReactJs for a responsive and intuitive user interface. On the back-end side, we utilized Node.js for server-side logic and database interaction. Altum’s team implemented Terraform to enable continuous AI chatbot deployment, ensuring smooth and automatic updates.

After that, we conducted thorough quality assurance testing. The main metrics we set to track were onboarding effectiveness, the percentage of accurate and irrelevant answers, the bot’s understanding of various respondents’ queries, etc. We also tested the chatbot’s performance under high loads to ensure it can handle thousands of concurrent users. Furthermore, we gathered the users’ feedback to refine the chatbot according to their needs. These efforts were aimed at ensuring that Qualia is a robust, reliable, and user-friendly AI chatbot.

AI Chatbot Tech Stack

Conversational AI Chatbot UI/UX

The chatbot’s design is crucial for seamless user experience and fast communication.
We meticulously approached that stage, prioritizing a minimalist, responsive UI and
frictionless UX. This ensured that respondents had intuitive and engaging
experiences across devices.

We emphasized accessibility, establishing an easy-to-navigate interface for all users.
User testing and feedback were integral for the continuous refinement of the
chatbot's UI/UX, helping us create an engaging, self-explanatory AI chatbot.

AI Chatbot Security

We ensured that Qualia complies with the General Data Protection Regulation (GDPR)
for the sake of respondents' data privacy and security. Our team implemented
data encryption in transit and at rest, employed access controls, and provided
a transparent privacy policy to foster trust with respondents.

Additionally, we adopted data anonymization techniques to protect user identity.
For now, we regularly conduct security audits and monitor data access
to prevent potential data leaks.

Implemented
Features

AI Chatbot Features - Altum Software

Key Outcomes

Developed a robust AI chatbot with a reliable and scalable infrastructure capable of withstanding thousands of concurrent users.

Designed a minimalist, responsive interface, prioritizing frictionless UX to provide a seamless user experience across devices.

Implemented continuous rigorous security audits and data access monitoring to prevent potential data leaks and ensure consistent AI chatbot performance.

Complied with GDPR, implemented data encryption, employed access controls, and adopted anonymization techniques, ensuring respondents’ data privacy and security.

Clutch proves we craft outstanding digital products.

More Reviews

"Feedback was always taken seriously, and requests were implemented."

Tim Schöllkopf Head of Performance, Data & Tech, Rocket X GmbH

"Everyone at Altum was always timely in responding and completing the required actions."

John Laskowsky Founding Partner, Granie Street Partners

They deliver the best quality in no time.

Dominik Gasser Founder & Creative Director, Reach Partners AG

"I highly value their can-do attitude, skills, friendliness, discretion, and on-time deliveries of top projects."

Natalie Koller Senior Account Director, Branding Agency

"Feedback was always taken seriously, and requests were implemented."

Tim Schöllkopf Head of Performance, Data & Tech, Rocket X GmbH

"Everyone at Altum was always timely in responding and completing the required actions."

John Laskowsky Founding Partner, Granie Street Partners

They deliver the best quality in no time.

Dominik Gasser Founder & Creative Director, Reach Partners AG

"I highly value their can-do attitude, skills, friendliness, discretion, and on-time deliveries of top projects."

Natalie Koller Senior Account Director, Branding Agency

We’re 100% satisfied with their work.

Kyle Watson Director Of Marketing & Business Development, Entrinsik

"The Altum team is professional, talented, fast, and very dedicated to their work."

Meghan Tucker Director of Operations, Grounded World

"The team was very friendly and communicated well."

Adam Cajkler Head of Design at SaaStock

"I was most impressed by their adaptability and responsiveness."

Jared Roberts Brand Design Director at Pearl Health

We’re 100% satisfied with their work.

Kyle Watson Director Of Marketing & Business Development, Entrinsik

"The Altum team is professional, talented, fast, and very dedicated to their work."

Meghan Tucker Director of Operations, Grounded World

"The team was very friendly and communicated well."

Adam Cajkler Head of Design at SaaStock

"I was most impressed by their adaptability and responsiveness."

Jared Roberts Brand Design Director at Pearl Health

Thinking about developing a robust and scalable AI chatbot that seamlessly simulates human-like interactions for users’ satisfaction?

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AI Chatbot Development for Collecting Stakeholder Interviews