You can delegate tasks to AI. However, few organizations are truly able to convey their 'purpose' and 'context' effectively to AI. In organizations that have accumulated experience executing tasks based on numerical targets and precedents, there is often insufficient experience in independently defining purposes, verifying the underlying facts, and articulating assumptions and causal relationships. Request Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo; Representative Director: Tomiyasu Kowata), which provides Organizational Behavior Science®, has released a 'Necessary Experience Design' framework and a 10-question, 3-minute diagnostic tool to help articulate purpose and context for effective use with AI, based on data analysis from 338,000 individuals and 980 organizations. A downloadable PDF of the illustrated materials for this release is available. We have compiled into an illustrated guide—easy to share internally—the concepts for articulating 'purpose and context' for AI, along with a 10-question, 3-minute self-diagnostic assessment. d68315-201-ec89b6a32991dc6d691bf82d54cb739b.pdf 1. You can delegate tasks to AI—but can you convey purpose and context? You can ask AI to 'polish this text,' 'make this document clearer,' 'summarize this content,' 'compare this information,' or 'visualize this explanation.' But what AI truly needs is more than just task instructions. Who are you trying to impact, and what state are you trying to change? Why is this purpose necessary? What facts underlie this context? Which assumptions are misaligned? What causal relationships exist? The ability to convey these elements determines the effectiveness of AI outcomes. 2. Why do organizations often lack experience in defining purpose? In most organizations, goals are given in numerical terms: revenue, volume, deadlines, KPIs, achievement rates. Precedents are provided through past documents, tools, procedures, templates, or supervisor instructions. Meanwhile, judgment criteria remain impli