How to Use Generative AI to Improve Product Sense for 0 to 1 Data and AI Products?

Product sense is the ability to understand the needs of users and create products that meet those needs. It is a critical skill for product managers, especially those who are building 0 to 1 product, which are new products that have no existing market.

Generative AI can be a powerful tool for improving product sense. It can be used to conduct product teardown of other people’s products and identify customer segments, pains, competitors, workflow, frictions, desirability, positioning, and return on investment. This information can then be used to make better decisions about product development.

Here are the steps on how to use generative AI to improve product sense for 0 to 1 Data and AI products:

1. Identify the product to tear down. This could be a competitor’s product, a product in a given industry, or even a product in a different industry.
2. Generate a list of prompts that will help understand the product. The prompts should cover the following areas:

• Customer segments: Who are the main customer segments for this product? What are their needs and pain points?
• Pains: What are the main pain points that this product solves for its users?
• Competitors: What are the main competitors to this product? How does this product compare to its competitors?
• Workflow: How does this product fit into the user’s workflow? How does it make the user’s work easier or more efficient?
• Frictions: What are the main friction points in the user experience of this product? How can these friction points be improved?
• Desirability: How desirable is this product to its users? What features would make it more desirable?
• Positioning: How is this product positioned in the market? How does it differentiate itself from its competitors?
• Return on investment: What is the potential return on investment for this product? What are the key metrics for success?

3. Feed the prompts to a generative AI model. The model will generate a report that answers prompts.

4. Review the report and identify any insights that can be applied to product development. This could include new features, improvements to the user experience, or changes to the product’s positioning.

Here are some additional tips for using generative AI to improve your product sense:

• Use a variety of generative AI models. Different models have different strengths and weaknesses, so it is important to use a variety of models to get a complete picture of the product.
• Be critical of the results. Generative AI models are not perfect, so it is important to be critical of the results and not take them at face value.
• Use the insights to inform your own product development process. The insights from generative AI should be used to inform product development process, not replace it.

Generative AI is a powerful tool that can be used to improve product sense. By following the steps outlined in this article, one can use generative AI to gain insights into other people’s products and apply those insights to product development.

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