Product development teams often struggle with validating new AI ideas early in the discovery process. The blog introduces a technique called Prompt Prototype Tests to address this challenge. The goal of these tests is to quickly validate whether an idea can be successfully solved by a Generative AI (GenAI). The process involves crafting a prompt with three key elements: establishing the role of the AI, explaining the data and its structure, and outlining the request being asked.
After running the prompt with the AI, the results are judged on a scale ranging from “Great” to “Bad.” Based on the output, adjustments can be made to tailor the role of the AI, play with the data, or refine the request. The blog also provides insights on improving prompts, breaking tasks into sub-tasks, and the importance of data in achieving better results.
Key learnings from the blog include the importance of asking “why” to improve prompts, breaking tasks into multiple questions, and being open to new ideas during the testing process. Setting a time limit of 30 minutes for Prompt Prototype Tests helps in iterating quickly and focusing on exploring a wide range of possibilities.
Overall, the blog encourages product teams to embrace GenAI technology and prioritize explorations to make better product decisions in an AI-driven world. By engaging in lightweight testing with GenAI, teams can gain valuable insights and mitigate risks associated with AI-powered features.
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Source link: https://medium.com/atlassian-product-management-blog/prompt-prototype-testing-ai-feasibility-before-you-start-dev-019ffda9ef66?source=rss——ai-5