Buyer’s guide · Technical writing
A strong technical writer needs enough subject knowledge to find missing assumptions, enough editorial judgment to serve the reader, and a review process that protects accuracy. This guide shows software teams how to evaluate that combination before commissioning an article, case study, report, or documentation project.
Direct answer
Start with one real deliverable and the reader who must use it. Give candidates representative source material, then ask how they would research the subject, resolve contradictions, verify claims, structure the piece, and manage technical review. The best candidate is not necessarily the person with the smoothest sample. Look for evidence that they can distinguish a fact from an inference, ask engineers useful questions, preserve important limitations, and produce a draft that a reader can act on. Agree the scope, source access, reviewers, revision rounds, authorship, confidentiality, publication work, and acceptance criteria before writing begins.
When this helps
What the work covers
Technical writing is partly writing, but the expensive failures usually begin earlier. A weak brief targets everyone. Weak research repeats the company’s assumptions. Weak review invites ten stakeholders to rewrite the same paragraph. A useful hiring process tests how the writer handles those conditions.
Ask the writer to name the primary reader, what that person already knows, what decision or task follows, and which detail can be removed. Good technical writing changes with the reader. An engineering migration note, a buyer’s white paper, and an API tutorial cannot share the same explanation merely because they describe the same system.
Confirm which repositories, product notes, analytics, interviews, tickets, demonstrations, and public sources are available. Ask how unsupported claims will be marked. The writer should keep a source trail and know when an engineer, product owner, legal reviewer, or security specialist must verify a statement.
Request an outline before a long first draft. It should expose the argument, sequence, examples, and missing evidence while changes are still inexpensive. For documentation, ask for one representative procedure or concept page. For an article, ask how the opening answer, supporting proof, diagrams, and conclusion serve the same reader question.
Define one accountable technical reviewer and one editorial decision-maker. Decide whether delivery includes diagrams, code samples, metadata, internal links, CMS entry, accessibility checks, and updates after publication. A document is not finished merely because a file has been emailed.
Compare the options
| Option | Best fit | What to verify |
|---|---|---|
| General content writer | A familiar topic with little product-specific or technical risk. | Whether subject-matter review will catch technical simplifications before publication. |
| Technical writer | Documentation, tutorials, reports, case studies, and articles that require source reading and expert interviews. | Relevant samples, research method, code literacy, information architecture, and review discipline. |
| Engineer writing alone | A narrow internal note where speed and direct knowledge matter more than editorial finish. | Whether the intended reader can follow it without the context available to the author. |
| Agency or documentation team | A large programme needing several roles, sustained throughput, localization, tooling, and governance. | Who actually researches and writes, how knowledge transfers, and how quality stays consistent. |
How the work runs
Name the reader, desired action, format, sources, reviewers, deadline, confidentiality, and acceptance criteria. Include what the piece must not claim. A short precise brief reveals more than a long brand deck.
Choose samples with similar technical depth or reader responsibility, not only the same industry. Ask what the writer received, what they researched, which decisions they made, and how the published version changed during review.
Pay for an article, documentation section, interview synthesis, or report outline using real material. Review the questions, source handling, outline, draft, and revision behaviour. The process is part of the sample.
If the pilot works, preserve terminology, source notes, audience decisions, style rules, and open questions. A recurring writer becomes faster because the knowledge base improves, not because technical review disappears.
Sources
A practical standard for direct, readable technical prose written for people who need information quickly.
↗ MDN Web Docs writing style guideUseful criteria for audience, clarity, consistency, examples, page structure, accessibility, and completeness.
↗ Google guidance for a global audienceExplains why consistent terminology and literal, well-structured language improve understanding and translation.
↗Conclusion and relevant work
My own writing process begins with the material behind the claim: code, product behaviour, public records, technical interviews, or documented project history. The 42 Network intranet and Agentic Brief case studies show the kind of systems I can read before writing about them. This does not make every subject an automatic fit. A regulated, highly specialised, or safety-critical topic may require an additional qualified reviewer, and that boundary should be stated in the proposal.
FAQ
Not for every assignment. A help centre for a consumer product may need strong task analysis more than programming. API documentation, developer education, architecture articles, and code-led case studies benefit from a writer who can read examples, run the product, inspect a repository, and ask precise engineering questions. Define the required depth from the source material and reader rather than using “technical” as a vague credential.
Read one piece as the intended user. Can you identify the audience, question, evidence, sequence, and next action? Check whether terms remain consistent and whether examples prove the explanation. Then ask about the work behind the sample: source access, interviews, authorship, review, constraints, and the difference between the first and final draft. A beautiful page may hide a weak research process or a large editorial team.
Include the primary reader, their starting knowledge, the problem the document solves, the desired action, format, approximate depth, available sources, required interviews, named reviewers, claims requiring evidence, confidentiality limits, publication channel, deadline, and acceptance criteria. Add examples of useful and unhelpful material. Do not prescribe every heading before the writer has examined the evidence.
Price depends on research, technical depth, access, interviews, length, diagrams, code examples, review cycles, confidentiality, and publication work. Compare scoped deliverables rather than word rates alone. A short case study based on several interviews can require more judgment than a longer explainer. Ask each proposal to separate assumptions, included revisions, extra work, expenses, and the point at which new evidence changes the scope.
AI can help transcribe interviews, inspect a corpus, suggest structures, transform formats, or run editorial checks. It cannot be made responsible for whether a private system behaves as claimed, whether a source is authoritative, or whether a missing limitation creates risk. A writer may use AI within an agreed confidentiality and review process, but named people must remain responsible for sources, claims, examples, and final approval.
Begin with one real deliverable
Bring the source material, the reader, and the claim that needs checking.
I can scope a paid pilot and show how I would research, structure, review, and prepare the work for publication.
Discuss a writing pilot