Product Managers Are Now Making Meaningful Discoveries With Conversational AI, Perceptional
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.
PlatformsWeb App
Duration12 weeks
IndustryMarketing Tech
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.
We knew speed and reliability were key, so we chose a tech stack that could deliver.
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.
deeper insights than traditional surveys
time to actionable 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.
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.
