Do investor letters often read precise but dense—leaving readers to hunt for who acted and why? In this lesson you’ll learn a repeatable Detect–Decide–Rewrite system to cut nominalizations, restore clear actors and verbs, and make your finance prose both more accountable and more readable. You’ll get a concise explanation of why nominalizations matter, real-world before/after examples, and practical exercises to apply the workflow to your own letters.
Systems Thinking for Readability: Hitting Investor Letter Readability Targets (Flesch–Kincaid Made Practical)Struggling to make investor letters that are both rigorous and easy to read? By the end of this lesson you’ll be able to set practical Flesch–Kincaid targets for investor communications and use a Diagnose → Revise → Verify workflow to hit them without diluting substance. You’ll get clear explanations of why FK matters, concrete editing techniques and examples (nominalization fixes, sentence-chunking, passive‑voice caps), plus exercises and checklists to measure and lock in readability across issues.