Choosing the Right Reading Level for Your Audience

Published October 03, 2025 • 8–12 min read

A decision framework for selecting appropriate readability targets by domain, risk, and user intent.

Map Audience and Risk

For low‑risk content (blog intros, marketing), aim higher Flesch (65–90). For high‑risk (finance, healthcare), favor clarity and definitions, even if the score drops. Consider the consequences of misunderstanding.

Consider Context and Channel

Mobile users skim; shorten sentences and lead with outcomes. For email, aim for 70–90. For API docs or legal notes, accept 40–60 but add summaries and examples.

Test, Don’t Assume

Run usability sessions with 5–7 people. Ask them to explain a paragraph in their own words. If they paraphrase accurately, your level is right. If not, iterate and test again.

Localization

Plain language translates better. Avoid idioms and culture‑bound references. Keep measurements and dates locale‑appropriate. Consider building a glossary.

Governance

Document targets by page type and add them to your editorial checklist. Review quarterly as products and audiences change.

Audience/Domain Matrix

DomainLow riskMedium riskHigh risk
MarketingGrade 7–9Grade 9–10Grade 10–12
How‑to/docsGrade 6–8Grade 8–10Grade 10–12
Finance/healthGrade 6–8Grade 8–10Grade 10–12 (with definitions)

Decision Steps

  1. Identify reader intent and domain risk.
  2. Check competitor baselines and legal constraints.
  3. Set a target band (±1 grade) and test with a sample.

Quick Audience Test

  1. Give five readers a short paragraph and one task.
  2. Track time to complete and questions asked.
  3. Adjust examples and definitions, not just sentence length.

Edge Cases

For regulated domains (finance, health), pair plain definitions with precise terms. Provide a glossary sidebar so experts get exact language and newcomers aren’t lost.

Contextual Examples

  • For beginners: swap acronyms for short definitions.
  • For evaluators: add tradeoffs and selection criteria.
  • For experts: foreground specs and edge cases.

Field Testing Script

Task: <what to accomplish>
Success signal: <what “done” looks like>
Timebox: 5 minutes
Notes: confusing terms, missing steps, unclear labels

Decision Tree

  1. What’s the risk of misunderstanding? (low / med / high)
  2. What’s the reader’s likely familiarity? (new / mixed / expert)
  3. Pick a band and test one section; adjust with examples.

Stakeholder Sign‑Off

For regulated content, log the agreed reading level with the legal or compliance reviewer and attach examples that show clarity plus precision.

Examples by Domain

DomainKeep preciseExplain simply
SecurityMFA, OAuth scopesWhy each control matters
FinanceAPR, amortizationImpact on monthly payment
HealthDosage, interactionsPlain risks and next steps

Reader Validation

Recruit 3–5 users in the target group. Ask them to highlight confusing words and to complete one task while thinking aloud.

Signals You Picked the Wrong Level

  • Users ask for definitions you assumed were obvious.
  • Readers bounce after the intro; headings don’t match intent.
  • Experts skip to specs; add a summary table up top.

Retrospective Prompt

What confused readers?
What edit would have prevented that?
Which terms should move to a glossary?
What example or table would clarify faster?

Decision Guide

  1. Risk: What happens if readers misunderstand? Higher risk → lower grade target + summaries.
  2. Audience: General public, practitioners, or experts?
  3. Channel: Mobile email, long‑form web, or in‑product microcopy?
  4. Test: 5‑minute comprehension check with representative readers.

Sector Hints

  • Public health: ≥ 60 with a plain‑language summary.
  • Finance: 45–60 + definitions and examples.
  • Developer docs: 45–65 + runnable code.

Stakeholder Alignment

Agree on a target band and acceptance criteria (“the user can complete task X in Y minutes”) before editing.

Measure Outcomes

Track errors, support tickets, and task success—not just the score. Revisit targets quarterly.

Last expanded October 03, 2025