Interviewing security subject-matter experts for content people can use
A focused expert interview gives a writer decisions, examples, and limitations that documentation alone may miss. This guide shows how to collect and use them.
AI-assisted article. Sources and examples follow our editorial policy.
An engineer can explain a product accurately and still leave a writer with an unusable transcript. The conversation may assume knowledge the reader lacks, jump between deployment stages, or spend most of its time on the feature the engineer finds interesting.
Interviewing security subject-matter experts works better when the writer arrives with a defined reader problem and a small set of unresolved questions. The interview then supplies reasoning, examples, and boundaries that the writer can connect to a useful article.
This is preparation for an editorial interview, not a test of the expert’s ability to deliver polished prose. The writer remains responsible for structure and explanation.
Send a narrow preparation note
State who will read the piece, what they should understand afterward, and why this expert’s input is needed. Include the source material already reviewed and the questions it did not answer. That saves the opening of the call from becoming a tour of information already available in the docs.
For example, a proposed article might help platform engineers understand why a pipeline identity needs a constrained trust policy. The interview request could ask for a representative configuration mistake, the evidence that reveals it, and the operational cost of correcting it. Each question has a place in the article.
If the assignment still has only a keyword and a deadline, resolve the content brief first. Otherwise, the expert may spend the call choosing the article’s purpose while the writer tries to collect quotations.
Confirm recording and attribution arrangements. Make clear whether the expert will be quoted publicly, used as background, or asked to review a technical explanation. Those are different contributions and should not become interchangeable during drafting.
Ask the expert to walk through one decision
A question such as “What are the main challenges?” invites a category summary. A more useful prompt asks the expert to work through an actual type of decision: “A team sees this finding on Monday morning. What does the owner check before deciding to act?”
Follow the sequence. Ask what information is available, what the team infers from it, and what would change the recommendation. If the explanation includes a term like “reachable,” clarify what the speaker means in that context. Network access, a callable function, and a proven exploit path are different claims.
Google’s audience guidance points out that readers with the same job title can have very different familiarity with a subject. Use the interview to uncover assumptions the expert no longer notices. A useful follow-up is: “What would someone new to this workflow need to know before that step makes sense?”
Turn a vague statement into a source request
The following excerpt is fictional. It illustrates interviewing and editing decisions, not a real product or recorded conversation.
Expert: “The integration blocks risky deployments.”
Writer: “Which event does the integration receive, and where can it stop the deployment?”
Expert: “It reports a failed check when a configured policy matches. The repository has to require that check before merging.”
Writer: “So a failed result does not prevent a merge if that requirement is missing?”
Expert: “Correct. The administrator configures that part.”
The original statement compressed product behavior and customer configuration into one promise. The follow-up exposed the dependency. A proposed draft could now say: “The integration reports a failed policy check. Repositories configured to require that check can prevent the associated merge until the check passes.”
Before publication, the writer still needs the integration documentation and a technical review of the exact wording. The interview has identified what to verify. It has not replaced verification.
Keep a short evidence record as you listen:
| Interview material | Follow-up record |
|---|---|
| Product behavior | Documentation or demonstration needed |
| Operational example | Whether the example is real, hypothetical, or anonymized |
| Number or comparison | Definition, source, observation period, and applicable population |
| Opinion | Speaker attribution and the reasons behind it |
| Limitation | Conditions under which the explanation stops applying |
Invite the exception
Ask when the usual advice would be wrong. That question often reveals the most useful paragraph in the article: the environment where a control cannot act, the dependency a migration requires, or the situation where an alert needs more context.
The aim is to explain a real boundary. Avoid manufacturing disagreement to make the interview sound challenging. If the expert gives a broad claim, ask for its scope. If they describe two viable approaches, ask which constraint would determine the choice.
ISMG’s guide to interviewing cybersecurity founders uses definitions, comparisons, and procedures to draw out how a person thinks. For a technical content assignment, those question types help distinguish a practiced slogan from an explanation the reader can examine.
Leave room for the expert to correct the question itself. A mistaken premise should become a research note, not a forced quotation that fits the outline.
Convert the transcript into a source map
After the call, sort material by the reader’s questions rather than the order in which people spoke. A transcript is evidence, but spoken repetition and detours rarely make a good article structure.
Preserve timestamps for quotations and difficult technical passages. Mark statements that need another source. When two experts disagree, write down the exact difference and ask them to resolve it; do not quietly combine their views into a third position neither endorsed.
For a product claim, keep the relevant configuration and scope close to the draft sentence. The site’s AI product claims guide provides a more detailed method for keeping evidence attached to assertions about security behavior.
Make technical review easy to complete
Send the expert a coherent draft and a short list of substantive questions. Highlight the decisions requiring their judgment, such as whether an example implies prevention when the product only detects an event. Do not send a transcript with a request to turn it into the article.
Ask the editorial owner to consolidate feedback if several experts review the piece. Record factual corrections separately from preferences about tone. If a reviewer changes a material claim, check whether the linked source still supports it.
Finish with the agreed attribution and the prepublication content review. The article should retain the expert’s reasoning while supplying the context and sequence the reader needs. That is the writer’s contribution, and it should be visible even when the final piece contains only a few direct quotations.