How ChatGPT Would Contribute to Conduct Lean Canvas Model

Abstract

Contribution As expected, using ChatGPT to create a Lean Canvas model will significantly improve the efficiency of both business and academic researchers and learners. An unexpected result of this project is that the particular iterated model, GPT 4.0 is capable of creating an objective focus group to help the user to evaluate the efficiency and experience of using ChatGPT to create a Lean Canvas model. Background The Lean Canvas model, a popular one-page business plan template, helps startups and entrepreneurs break down their ideas into core assumptions. However, creating a Lean Canvas can be challenging and time-consuming, especially for those without marketing or business planning experience. This project explores the potential of OpenAI's ChatGPT, an AI language model, as a tool for developing Lean Canvases, aiming to create a more accurate, efficient, and streamlined process for business planning and marketing strategy development. Research Questions How effectively can ChatGPT fill in the blocks of the Lean Canvas based on the provided information or data for a real-world case? To what extent does ChatGPT improve the efficiency and accuracy of Lean Canvas creation compared to manual methods? How to use ChatGPT to create a Lean Canvas model? What new evaluation metrics can be developed to better assess the quality of ChatGPT-generated Lean Canvas models? Methodology The project's goal is to use case-study methodology to show how to use ChatGPT to the Lean Canvas paradigm for a more precise, effective, and straightforward procedure. Findings ChatGPT demonstrates strong capabilities in text generation and basic digital processing, resulting in a substantial increase in efficiency when creating Lean Canvas models compared to manual methods. During the evaluation phase, the project uncovered GPT-4.0's capacity to simulate a focus group for assessing the user experience with ChatGPT, introducing an innovative approach for project evaluation.