No water. How to Write Proposals and Reports for First Persons (Category Management)

I recently read this little book by Pavel Bezruchko and found it useful. But first, I would like to note that the author is a managing partner of ECOPSI Consultinn and a practicing business consultant who has to write a lot of reports for top managers. At some point, he decided to write a book about how to succinctly convey his ideas to top managers and such a book was published in the book. 2013 year. I've only gotten to it now and I'm interested in content that's based on principles. 1) Psychological portrait of the addressee According to Bezruchko, the first persons of companies have “tunnel thinking” – they focus only on data that directly affect key business indicators. The author recommends that before writing the document clearly define: Which KPI will be affected by the proposal What financial/reputational risks it mitigates What management resources will be required 2) Inverted structure of the document Not from problem to solution, but from conclusions to reinforcement.

• Recommended action (time-bound and responsible) Alternative options with risk assessment
• Detailed calculations/arguments in the annex It seems to me that the applicability of this approach depends on the culture - conventionally, in The Culutre Map, which I refer to. toldIn some cultures, this inversion does not work. 3) Working with the text to achieve conciseness (when there's nothing left) Removal in the first passage of all adjectives, general phrases, repetitive theses Replacement of complex constructions with action verbs (“Optimize” instead of “optimize”) LLM assistants from Perplexity, OpenAI, Google and so on can help here.

The question is, is this book outdated in the age of Gen AI? I don't think so, because Understanding the context is important for proposals, and AI is not yet able to adequately assess corporate culture and informal relationships in leadership that are critical for decision-making. Gen AI assistants generate text, which is similar to recommendations, but decisions usually have consequences from their implementation, which Gen AI may not take into account, and the author in this book focuses on accounting for the secondary effects of management decision-making. The book teaches not only to shorten the text, but also to anticipate cognitive distortions of managers, which again is difficult to take into account Gen AI assistants, since they have no context.

As a result, I see the advantages of reading this book, but at the same time I understand how it is possible to use assistants more effectively to prepare communications for the target audience. Conventionally, I can more correctly write a prompt, which my long text summarizes in the desired format and then I will adjust it with a file a little:)

#Writing #Management #Leadership #Storytelling