Scalable Conversational AI Chatbot for Meaningful Product Discovery and Feedback
We built a conversational AI chatbot SaaS product that turns static customer interview forms, product feedback forms, into meaningful conversations, delivering actionable insights for PMs and business owners.
How We Developed a Scalable Conversational AI Chatbot for Enhanced Product Discovery and Feedback Insights
Imagine being a product manager (PM) overwhelmed by static surveys and endless feedback spreadsheets, struggling to make sense of it all. That was the daily challenge our client founder, a former Amazon PM, faced. He needed something better—an intelligent tool to replace lifeless surveys with engaging bots that could dive deeper into customer feedback. The conversational AI bot that is better than off the shelf ChatGPT versions. The vision? This isn’t just any tool; it’s a sophisticated AI chatbot for business, designed to adapt in real-time, understand customer responses on a deeper level, and deliver actionable insights instantly. With this SaaS platform, product managers can finally cut through the noise and make smarter, data-driven decisions with confidence.
Platforms
Web App
Duration
12 weeks
Industry
Marketing Tech
We knew speed and reliability were key, so we chose a tech stack that could deliver.
ReactJS for smooth, intuitive user experience
AWS Serverless Lambda for scalable, low-latency operations
Postgres for real-time data management
Claude (Anthropic) for conversational, context-aware bots
AWS Bedrock for reliable cloud hosting and global accessibility
Partnership Goal
Our client, a startup founder and former Amazon Product Manager, set out to bootstrap a scalable SaaS MVP that could provide businesses with fast, actionable insights from their end users. The goal was ambitious: to revolutionize how product managers gather and analyze customer feedback. By partnering with us, we combined our expertise in AI and SaaS development to create a platform that goes beyond replacing static surveys—it transforms feedback into conversational business intelligence.
This innovative solution leverages a powerful conversational AI chatbot to deliver real-time insights, simplifying feedback workflows and enhancing decision-making. By turning time-consuming tasks into streamlined processes, the platform empowers product managers to make smarter, data-driven choices. Built on a foundation of mutual understanding and a shared vision, this partnership is a testament to how the right technology can address critical challenges for product managers.
Before
- Static, one-size-fits-all surveys.
- Limited support for different survey goals.
- Struggled to handle high user volumes.
- Time-consuming data analysis for insights.
- Rigid, hard-to-customize survey forms.
- Long, unstructured customer feedback that’s hard to analyze.
After
- Dynamic conversations that adjust based on user input.
- Multi-intent support for various product goals.
- SaaS-ready scalability for handling large volumes.
- Actionable summaries for quick decision-making.
- Customizable interface for PMs to set goals and adjust bot behavior.
- Streamlined, structured feedback from customers, making analysis easier.
Team Formation
This project was particularly interesting as it addressed a common challenge faced by business leaders and teams worldwide—transforming static surveys and feedback into actionable insights. A team consisting of one AI Developer, one Backend Engineer, and one Frontend Engineer, along with a Designer, QA, and Project Manager, collaborated to integrate OpenAI and Anthropic’s Claude models. This enabled the bot to engage in natural, intelligent conversations.
By leveraging AI, the bot could adapt its questions in real time based on user responses. Additionally, we developed a clean, responsive web app, allowing teams to easily configure interviews and quickly access valuable insights.
from concept to launch
deeper insights than traditional surveys
time to actionable insights
Our partnership
Our client turned to us because of our proven expertise in helping startups develop MVPs. During our initial consultation, we laid out a clear plan of action, ensuring the client understood every step of the process. Our founders and team made an effort to listen to his needs, establishing a strong rapport and confidence in our ability to deliver, setting the stage for a fruitful collaboration. Before we fully got started, we built a working prototype in less than a week to ensure we were on the same page. This helped the client and our team to build an alignment and trust before even fully kicking off. To ensure efficiency, we used Slack for daily updates and Asana to track progress. We followed Agile methods with two-week sprints, allowing for continuous improvements and rapid delivery. It was a truly collaborative effort, focused on solving a real pain point for those involved in product development.
Highly Personalized Conversations
The bot adapts its questions in real-time based on user responses, making each interaction feel human and engaging.
Multiple Interview Intents
Users can set specific goals such as feature feedback, product usage surveys, or customer sentiment analysis.
Scalable Infrastructure
Designed to handle thousands of simultaneous users, ensuring the platform grows seamlessly with the client’s user base.
Instant Summaries
After each conversation, the bot generates clear, actionable summaries with insights, enabling users to make data-driven decisions quickly.
Customizable by Users
Users can easily configure the bot's behavior and set interview goals based on their specific needs.
Real-Time Data Management
The platform efficiently manages real-time data flow, ensuring smooth interactions and timely feedback collection.
Responsive Web Interface
A user-friendly interface built with ReactJS, allowing users to configure interviews, track progress, and view insights with ease.
AI-Driven Feedback Analysis
Leveraging OpenAI and Anthropic's Claude models, the bot provides context-aware, intelligent responses and insights.
Seamless Integration
The platform integrates smoothly with existing workflows, ensuring minimal disruption for users.
I found RaftLabs to be the perfect partner for Perceptional, with their expertise in helping startup founders build MVPs, a free consultation, a prototype that matched my vision, and their unwavering support.
Founder, Peak Studios & Perceptional
Canada
What happened next
We successfully delivered a fully functional AI chatbot-integrated platform, Perceptional, in just 12 weeks, and the results from early beta users were overwhelmingly positive. Stakeholders found the bot’s adaptive conversations to be far more insightful than traditional static surveys, enabling them to gather deeper and more valuable feedback. The instant, actionable summaries allowed teams to make quicker, more confident decisions. Built as a robust solution, Perceptional leverages conversational AI for business to transform the feedback process. During testing, the platform demonstrated impressive scalability, handling hundreds of participants and proving its readiness for enterprise-level usage. End-users also enjoyed interacting with the bot, resulting in higher response rates and a more engaging feedback experience overall.
Still curious?
What is a conversational chatbot?
A conversational chatbot is an AI-powered tool that interacts with users in natural, human-like conversations to gather feedback, answer questions, or provide support.
Why build a custom conversational chatbot?
A custom bot can be tailored to specific needs, like scaling for SaaS platforms, handling multi-intent interviews, or integrating with enterprise systems, unlike off-the-shelf solutions.
What industries benefit from a conversational AI bot?
Industries across the board are benefiting from the integration of conversational AI bots, transforming how they engage with customers and streamline operations.
In sectors like SaaS, e-commerce, healthcare, finance, and education, AI bots are being used for everything from gathering feedback to providing real-time customer support. In healthcare, the advantages of chatbots in healthcare are particularly compelling, as they enhance patient interaction by offering instant support, handling appointment bookings, and even providing basic health information. On the other hand, chatbots for e-commerce are revolutionizing the shopping experience by offering personalized product recommendations, assisting with customer queries, and facilitating smooth checkout processes, ultimately driving sales and customer satisfaction. These bots are not only improving operational efficiency but also creating more engaging, responsive experiences for users across various industries.
How long did it take to build this custom AI chatbot?
We delivered a scalable, enterprise-ready platform in just 12 weeks.
What makes this chatbot scalable for SaaS?
It uses AWS Serverless Lambda for effortless scaling and handles thousands of simultaneous conversations.
What technology stack was used for the bot?
The bot was built with ReactJS, AWS Serverless Lambda, GraphQL Hasura, Postgres, and AI models like OpenAI and Anthropic Claude.
What are the key features of this AI chatbot?
The key features of this AI chatbot include dynamic conversations, multi-intent support, instant feedback summaries, SaaS scalability, and easy configuration for product managers. Designed with AI-based customer support in mind, it enables businesses to offer intelligent, real-time interactions that enhance the customer experience. Whether it’s addressing multiple queries in a single conversation or providing instant insights, this chatbot boosts efficiency across various touchpoints. For small businesses, it offers an affordable, scalable solution to automate customer service and improve engagement. For enterprises, it delivers enterprise-grade scalability and security, seamlessly handling high volumes of interactions while integrating with existing systems to streamline operations and support complex workflows. This makes it an ideal solution for businesses of all sizes looking to improve customer engagement and operational efficiency.
How does this bot improve feedback collection?
By replacing static surveys with adaptive conversations, it collects deeper, more meaningful responses tailored to user input.
Can this chatbot handle different use cases?
Yes, it supports use cases like feature validation, product usage surveys, customer sentiment analysis, and more.
What’s the difference between a conversational AI and a chatbot?
A chatbot follows scripted responses and predefined logic, while conversational AI uses machine learning and natural language processing (NLP) to understand and respond intelligently to complex user inputs
How can I build a conversational AI chatbot for my business?
We can help you design and develop a scalable custom AI chatbot tailored to your industry and business goals. Contact us to get started!
What is the difference between a custom AI chatbot and ChatGPT?
A custom AI chatbot is built to address specific business needs, like feedback collection or customer support, with tailored workflows and branding. ChatGPT is a general-purpose AI model that can perform a variety of tasks but may require significant customization to fit enterprise needs.
Can ChatGPT be used to build a custom AI chatbot?
Yes, ChatGPT can be integrated as the conversational engine for a custom chatbot. However, additional development is needed to align it with specific workflows, intents, and data security requirements.
What are the advantages of a custom chatbot over pre-built solutions?
Custom chatbots offer scalability, flexibility, and personalization tailored to your business. They integrate seamlessly with your existing systems and provide a consistent experience, unlike pre-built solutions, which may have limited customization options.
What are the typical benefits of chatbots for a business?
Chatbots offer numerous benefits to businesses, driving efficiency and improving customer experience. How chatbots help businesses is clear—they automate routine tasks, handle customer inquiries 24/7, and improve response times, freeing up human agents to focus on more complex matters. This not only reduces operational costs but also enhances productivity across various departments. By providing real-time support and personalizing interactions, chatbots help businesses scale effortlessly while maintaining a high level of customer engagement.
For customers, the chatbot benefits to customers are equally compelling. Chatbots deliver instant, accurate responses, making it easier for customers to get the information they need without waiting. Whether it's resolving issues, answering questions, or guiding users through processes, chatbots improve the overall customer experience by offering convenience, consistency, and quick resolutions. As a result, customers enjoy a more streamlined, efficient service, which helps increase satisfaction and loyalty.
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