CORPORATE AMERICA BEHIND THE WALLS OF EA NS GHTS I I the state of how we communicate Executives who expect everyone to “figure it out” are missing the point. We use technology and tools that responds to our instructions with patterns, structure, and clarity. EAs who understand this can help their executives become better thinkers, communicators, and decision-makers. If you are not convinced yet, read more about the impact in the Gallup findings —there’s a science based impact when we can say what we mean, convey empathy in our messaging when conversations are difficult, and overall be a good human being. translating executive thinking for all forms of collaboration The way an EA structures emails, IMs, chat messages, organizes workflows, and refines instructions directly applies to working with all forms of collaboration. In particular, how EAs can help refine the prompts for AI interactions using their voice or their executive.
Encourage clarity: Help executives refine their thoughts before speaking or writing them down. If they can’t clearly explain their request, we won’t either. Use persona-based thinking: In AI, you can act as a specific expert [e.g. “Act as a CFO and outline cost-saving strategies”]. To protect identities, you don’t have to use the names of the executives or employees, hypothetical scenarios will work too.
Break down complexity: Structure instructions step by step rather than overloading a single message with excessive details. Experiment and refine: Once you nail the type of communication that aligns with your executive’s style, tone and character, save it. Our interactions with digital tools LLM tools, are an iterative process, it is memory based and will start to frame up the output based on what the executive assistant feeds it.
Example: Weak instruction: “Write a report on our latest marketing strategy.”
Refined instruction: “Act as [executive name]. Summarize the performance of our latest campaign, focusing on engagement metrics and conversion rates. Suggest two improvements based on the data in [executive’s name] voice.”
thinking in patterns Great communication follows patterns, and AI is no different. Understanding how AI processes language allows us to engineer our thoughts. Here are a few simple but powerful techniques EAs can use to optimize AI interactions: Question Refinement: AI suggests better versions of vague questions. Example: Whenever I ask a question, suggest a clearer version first. Flipped Interaction: AI asks the user questions to build a better response. Example: Ask me step-by- step questions before creating my report. Cognitive Verifier: AI generates sub-questions to improve accuracy. Example: Before answering, generate three clarifying questions to ensure precision.
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