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I built an AI that answers questions based on user research data.

A guide to building an AI with a custom knowledge base using OpenAI API.

Irina Nik
UX Collective
6 min readFeb 20, 2023

Modern products often have a large amount of user research data from different sources: user research interviews, intercom conversations, customer e-mails, surveys, customer reviews on various platforms, etc.

Making sense of all that data is a challenging task. A traditional way to do that is to maintain a neatly organized database with various corresponding tags.

But what if we can have our personal AI chatbot that can answer any question about our user research data?

By querying a large amount of historic user research data, the chatbot can provide insights and recommendations for a new project, product, or marketing campaign.

Well, now it’s possible with just a few lines of code. You can do that even without a technical background. In this article, I’m going to explain how to do that step-by-step.

This technique was first described by Dan Shipper.

OpenAI API

You are probably familiar with ChatGPT and hopefully are already using it in your working process. If not, I recommend reading my article about AI's impact on design first.

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