Translate mechanisms into decisions
Explain what the reader needs to decide before introducing the technical term. Define necessary vocabulary at first use, then connect it to a consequence such as delivery effort, data access, reliability or maintenance. Keep the precise term when it matters, but avoid assuming that terminology itself provides understanding. A useful explanation makes the next action clearer.
Worked example
Illustrative scenario; not a claim of measured client results.
For example, describe retrieval as finding relevant approved material before an assistant answers. Then explain that document quality, access rights and update timing affect the answer. Only introduce vector similarity when the reader needs to understand how candidate passages are selected. This sequence gives a business reader a practical frame without hiding the implementation choices from a technical reader.
Checks, limitations and next decisions
Ask someone outside the implementation team to summarize the recommended next step. If they repeat jargon without explaining the consequence, revise the passage. Use a concrete example to reveal ambiguity. Keep important limitations, especially where a simple phrase might imply a guarantee. Accessibility in writing means reducing unnecessary effort while preserving the distinctions needed for a sound decision.
A practical starting point
Work through these checks in order. Use the results to decide what needs to change in your own workflow.
- Define necessary terms at first use.
- Translate system behavior into consequences for the user's workflow.
- Use an example before presenting optional implementation depth.
A mistake to avoid
Do not remove important caveats merely to sound simple.
How to check progress
Ask whether a non-specialist can state the next action and know when specialist help is needed.
Your action checklist
Use this checklist while reviewing your own setup. Checkmarks are temporary and stay in this open page.
For the wider decision process, read Turning customer questions into an editorial backlog.
Further reading
Official background resources for this topic. The workflow above is general guidance, not a guarantee of a particular result.
AI-assisted editorial content. Examples are illustrative, not client case studies. Read our editorial policy or report a correction.
