TL;DR: Engineers rarely write, but most will explain a problem they solved for twenty minutes. Record that conversation, transcribe it, and have AI draft an article that keeps the engineer's exact terms. The engineer checks only the marked technical lines. One recording can give an article, several LinkedIn posts and a newsletter item, which is how a one-person team keeps publishing.
Ask a production manager to "write a blog post about quality" and you will wait for months. Ask her why the last new part needed three rounds of first article inspection, and she will talk for a quarter of an hour without stopping: the burr on the second bore, the fixture change, the material certificate that did not match the heat number. Every sentence is something a buyer would search for. This is the interview-first method we recommend in the manufacturing company marketing guide.
How this was made: drafted by Miriad with AI assistance; every figure links to its source.
Why interview engineers instead of asking them to write?
Interviewing works because talking costs an engineer minutes and writing costs hours. People explain a problem better out loud, with the real terms, the order of events and the reasons. The marketer does the structuring and writing; the engineer only checks. That split turns subject matter expertise into content without taking engineers off the floor.
Access to experts is one of the recurring problems in manufacturing marketing. In Content Marketing Institute research, 38% of manufacturing marketers name access to subject matter experts as a challenge, and 54% struggle to create content consistently (CMI). A short, regular interview addresses both: it asks little of the expert and gives the marketer a steady supply.
The other gain is vocabulary. Buyers search with engineering words: press brake bending, die casting porosity, tolerance stack-up, PPAP. An engineer uses them naturally. A marketer writing alone tends to replace them with softer words that nobody searches for.
How do you prepare a 20-minute interview?
Prepare one concrete question, three follow-ups and a recording app. Pick a recent event, such as a difficult part, a failed inspection, a customer's design change or a new machine, rather than a broad topic. Tell the engineer the question a day ahead. Twenty minutes is enough for one solid article if the question is specific.
A question bank that works in most shops:
- What went wrong on a recent new part, and how did you find it?
- What do customers usually leave off a technical drawing that we then have to ask about?
- What design change would make a part you make every week cheaper or faster to produce?
- Why do we do first article inspection (FAI) the way we do?
- What does the new machine let us do that we could not do before, in numbers you would sign?
- What should a buyer know before choosing between laser cutting and punching for this kind of part?
Follow-ups are always the same three: "Can you give me an example?", "What would you tell a buyer about this?", and "What number would you put on that, and are you sure of it?"
Record in a quiet corner, phone on the table. Let the engineer use their own words and do not tidy them up while they talk.
How do you turn the transcript into a draft that keeps the engineer's terms?
Transcribe the recording, then give the transcript to an AI assistant with strict instructions: keep the engineer's technical terms and numbers exactly, do not add facts that are not in the transcript, structure it as an article with a short answer under each heading, and flag every claim that needs checking. Then edit it yourself before the engineer sees it.
Transcription and text work are the most common uses of AI in companies. Text mining was the most used AI technology in EU enterprises in 2025 (11.75%), ahead of picture, video and sound generation (9.55%), according to Eurostat. You do not need a special tool; most current assistants transcribe and draft well enough.
The instructions we would give the assistant:
- Use only what is in the transcript. If something is missing, write a question in square brackets instead of filling the gap.
- Keep every technical term as spoken: material grades, process names, machine types, inspection methods.
- Keep every number exactly as spoken, and mark each one for checking.
- Open each section with a two- or three-sentence answer, then the detail.
- Mark anything that sounds like a promise about tolerance, lead time or capacity.
Example (illustrative): a component maker's production manager records a twenty-minute voice note about why first article inspection on a new housing saved weeks later in the series. The marketer runs the transcript through the instructions above. The draft keeps her phrases, including "the second bore was out on the first two parts", and marks five numbers for checking. She corrects one tolerance and removes a sentence that sounded like a promise. The article goes live within the week.
How does one recording become a month of content?
One recording becomes several pieces because each serves a different place: the full article on the website, short LinkedIn posts that each carry one point, a newsletter section for existing customers, and sometimes a short video clip. Each piece links back to the article, so the website stays the home of the knowledge.
| Piece | Where it goes | What it takes from the interview |
|---|---|---|
| Article | Website articles section | The whole story, with the engineer's terms and checked numbers |
| Three to four short posts | LinkedIn (company page and engineer or owner profile) | One lesson or one surprising detail each |
| Newsletter item | Email to customers | A short summary and a link |
| Short clip | LinkedIn, YouTube, process page | Thirty seconds of the engineer explaining at the machine |
| FAQ line | The relevant process page | One question buyers ask, answered in two sentences |
The channel choice follows what works in the sector. Manufacturing marketers name LinkedIn the top-value social platform (85%) and rate videos as the most effective content type (74%) in the CMI research. With a weekly or fortnightly interview, the calendar fills itself.
How does the engineer check the draft quickly?
Send the engineer the draft with every number, technical claim and promise highlighted, and ask them to check only those. A focused check takes ten to fifteen minutes. Do not ask for comments on style; that slows things down and is the marketer's job. Record who approved the article and when.
A simple check sheet helps:
- Highlighted numbers: correct as written? Correct for normal production, not just a best case?
- Process claims: true for our shop today?
- Anything that sounds like a commitment on tolerance, lead time or capacity: keep, soften or delete?
- Customer details: anything that identifies a customer without permission?
The check matters beyond accuracy. Google's guidance on AI content says AI output should be fact-checked and that pages without added value risk being treated as scaled content abuse. An engineer-checked article built from a real interview is the opposite of that.
How do you keep the method going?
Keep the method going with a standing slot, a running question list and visible results. Book the interview at the same time each week or fortnight, collect questions from RFQs and sales calls, and tell engineers when an article leads to an enquiry. The routine survives busy periods if it is small enough.
For the weekly rhythm around these interviews, see consistent content with a one-person marketing team. If the engineer's knowledge is already in datasheets, start with turning a technical datasheet into a product page buyers understand. For how this fits the rest of your marketing, return to the manufacturing company marketing guide.
If you want a structured way to turn raw notes and customer words into finished copy, the Conversion Copywriting Pack gives you the order of work, from research to final edit. Get notified when it launches.
FAQ
How long should an engineer interview be?
Around twenty minutes is enough for one solid article if the question is specific, such as a recent difficult part or a failed inspection. Longer interviews tend to drift into several topics, which is fine if you plan several articles. Shorter, focused recordings every week or fortnight usually work better than one long session a quarter, because they fit around production.
Which AI tool should I use to transcribe engineer interviews?
Most current AI assistants and many phone recording apps can transcribe clear speech well enough for a first draft. Choose one your company allows for internal recordings, and check its data handling before uploading anything confidential. The quality of the result depends more on a quiet recording and clear instructions to keep the engineer's exact terms than on the specific tool.
What if the engineer does not want to be named in the article?
That is fine. You can publish under the company name and describe the role instead, such as our production manager. Many engineers become more willing once they see the first article and recognise their own words. Always ask before naming anyone, and never publish customer details or part images that identify a customer without permission.
Sources
- Manufacturing content marketing research — Content Marketing Institute / MarketingProfs, 2024-11-20.
- Use of artificial intelligence in enterprises — Eurostat, data extracted 2025-12.
- Google Search's guidance on using generative AI content — Google Search Central, updated 2026-10-01.