Use audience‑first framing and concrete analogies anchored in familiar tools; keep sentences under 20 words and test readability with a Flesch‑Kincaid score > 60.
1. Identify the core claim – Write it in one sentence, then strip any domain‑specific nouns.
2. Map to a universal metaphor – Choose a tool your target audience uses daily (e.g., REST API, Git branch, SQL query).
3. Quantify the benefit – Replace vague adjectives with numbers: ‘reduces latency by 30 %’ or ‘cuts onboarding time from 4 h to 1 h’.
4. Run readability checks – Use textstat (Python) or the Hemingway API; aim for Flesch‑Kincaid > 60 and Hemingway grade ≤ 10.
5. Iterate with AI‑assisted simplification – Prompt GPT‑4 with ‘Explain in plain English for a product manager’ and limit output to 150 words.
6. Validate with a peer reviewer – Have a non‑technical stakeholder read the copy and flag any remaining jargon.
| Technique | Tool | Target metric |
|-----------|------|---------------|
| Analogy mapping | Lucidchart, Miro | 1‑2 visual anchors |
| Readability test | textstat (Python) | Flesch‑Kincaid > 60 |
| AI rewrite | OpenAI GPT‑4 | ≤ 150 words |
import textstat
text = 'Your technical paragraph...'
print(textstat.flesch_kincaid_grade(text))
print(textstat.flesch_reading_ease(text))Gotcha: Automated scores treat long technical terms as complex; removing them can unintentionally change meaning, so always double‑check the final copy with a domain expert.