AI and Jobs to be Done Evan from Walmart discusses the power of AI in analyzing Jobs to be Done. Chat GPT is a tool that can understand and write human-like text given a prompt, and it can be used to analyze different products and services. Evan provides examples of how AI can be used to map out the Jobs to be Done process and help customers find the perfect product or service.

The speaker discusses their experience using Chachi PT to streamline their product management process. They explain how they used the tool to identify customer objectives, create prototypes, and develop marketing messages. They also discuss the benefits and limitations of using Chachi PT and suggest ways to improve the tool.

Using Chat GPT for Jobs to be Done Analysis The speaker used Chat GPT to generate job maps for various categories related to sleep, which provided a starting point for further analysis. The accuracy of the generated insights was estimated to be around 80%, and the speaker emphasized the importance of discernment and expertise in recognizing different categories and types of information.

Applying Jobs to be Done Framework in B2B Spaces The speaker suggested that the Jobs to be Done framework can be applied in B2B spaces as well, by mapping out the jobs of different stakeholders and identifying their needs. The speaker also emphasized the importance of complementing the insights generated by Chat GPT with direct customer feedback.

Potential Risks and Benefits of Using Chat GPT for Jobs to be Done Analysis The speaker acknowledged that there are potential risks associated with using Chat GPT for Jobs to be Done analysis, such as biases and lack of transparency in the data sources. However, the speaker also highlighted the benefits of using Chat GPT as a tool for scaling and accelerating the Jobs to be Done analysis process, as long as it is used in conjunction with human expertise and validation. The speaker also suggested the possibility of creating a centralized open-source database of Jobs to be Done insights.