Automate picking your next winning idea or feature

Unlock the potential of AI to revolutionise how you identify and develop groundbreaking ideas or features.


Automate Market Validation

By integrating ChatGPT into your market validation efforts, you become the protagonist in your business's story, pioneering a revolutionary approach to understanding your audience...More


James Anthony Phoenix

Data Engineer | Full Stack Developer
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Free access for email subscribers.
Python experience recommended.
1. Scenario
Alright, team! We've got a brainstorming session happening at Dog Shed headquarters this afternoon. We're going to learn how to automate picking our next winning idea or feature. Sounds pretty cool, right?
Danielle Oscar
at Dog Shed

In this tutorial, we'll be diving into the world of market validation automation using the ChatGPT API.

We'll set up our inputs, including our personal skills, previous project experience, and a list of project ideas. By running the API with a specified number of iterations, we'll receive insights and recommendations on which projects or features we should pursue next. It's like having our own personal idea generator!

One important thing to note is that we need to use the API instead of the chat interface to ensure we get unique responses.

So, let's roll up our sleeves, get ready to automate our market validation process, and pick our next winning idea or feature!

This course is a work of fiction. Unless otherwise indicated, all the names, characters, businesses, data, places, events and incidents in this course are either the product of the author's imagination or used in a fictitious manner. Any resemblance to actual persons, living or dead, or actual events is purely coincidental.

2. Brief

Market validation is a crucial step in the development of any product or business idea. It helps entrepreneurs and marketers determine the viability and potential success of their ideas before investing significant time and resources. Traditionally, market validation involved conducting surveys, interviews, and focus groups to gather feedback from potential customers. However, with advancements in technology, we can now automate part of the customer validation process using large language models (LLMs).

To begin, you need to set up the necessary inputs for the chat model. This includes providing information about your personal skills and previous project experience. This context helps the LLM understand your current skill set and align potential projects that are more suitable for you.

Next, you define a range of different projects or ideas that you are considering. Each project should have a name and a description. For example, you could have a learning management system, a content marketing platform, or a platform that helps businesses generate marketing copy.

To automate the market validation process, you can run the chain (LangChain runnable) multiple times using different iterations. This allows you to gather insights and stability in the answers. The LangChain package enables you to run the chat prompt asynchronously, optimizing the process for efficiency.

After running the chain multiple times, you can analyze the results to determine the winning project or idea. The LangChain package helps you parse and extract the project names from the responses. You can then create a DataFrame to count the occurrences and calculate the relative percentages of each project.

3. Tutorial

Hi, it's James . In this video, we're going to have a look at how you can use chat to your PTA API, to figure out what you should do in terms of your next idea, in terms of SAS or even a product feature or a SAS feature, or even different types of ideas. What we're looking to do is try and automate part of the customer validation process early on.

4. Exercises
5. Certificate

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