Turn real expertise into helpful content by having AI interview your subject-matter expert one question at a time, then drafting only after human approval.
Direct answer: The most reliable way to turn your team’s real experience into helpful AI-assisted content is to have AI interview your subject-matter expert (SME) one question at a time, capture concrete decision criteria, examples, caveats, and a clear next step, then draft only after the SME reviews and approves the outline. Do not invent stories, credentials, numbers, results, quotes, or identifying customer details. Separate established facts from opinions, and keep human fact-checking in the loop before you publish.
Why this works
Most disappointing AI content misses one thing: lived experience. A one-question-at-a-time interview pulls out the specifics that make your article worth reading - how you actually decide, what typically goes wrong, what to watch out for, and what to do next. It also gives you an approval checkpoint so nothing goes live without a human expert signing off.
Used this way, AI becomes a structured research and drafting assistant. It helps you ask better questions, organize the answers, and shape a draft. You remain responsible for what’s true, what’s useful, and what represents your brand.
What it looks like in practice
You’ll guide an AI assistant to act as an interviewer. It will ask your SME one question, wait for an answer, summarize back, then ask the next question. As the conversation progresses, the AI will label which points are established facts and which are personal opinions or experience-based perspectives. When you say “done,” it will assemble an outline and a fact-check list for approval. Only then should it produce a draft.
The one-question-at-a-time interview workflow
Pick a focused topic and reader goal. Define the audience, the problem they’re facing, and the outcome they want. For example: “Operations leaders choosing between two inventory systems.” Specific beats broad every time.
Set non-negotiables. Make it clear that no one should invent stories, credentials, numbers, results, quotes, or identifying customer details. Require the AI to label facts vs. opinions and to ask for clarification when uncertain.
Start the interview. Paste the prompt below into your AI tool. Sit your SME down for 15–30 minutes. Answer in plain language with examples from real (but anonymized) experience. If something is sensitive or uncertain, say so.
Ask for depth, not fluff. Encourage the AI to dig into decision criteria, tradeoffs, common mistakes, edge cases, and caveats. Push for timelines, thresholds, or conditions when advice applies - and when it doesn’t.
Capture practical next steps. Before wrapping up, have the AI ask for a simple next step the reader can take. This might be a checklist, a starter template, or a diagnostic question set.
Approve the outline first. When you say “done,” the AI should produce a structured outline and a list of statements to fact-check. The SME (or an editor) approves or corrects this before any drafting begins.
Draft with citations to your interview notes. Have the AI attribute claims to the interview notes and mark anything that still needs verification. Keep tone clear and direct. Remove any fluff.
Human fact-check and review. Verify every claim that could reasonably be challenged - especially numbers, third-party product features, laws, and timelines. Confirm examples are anonymized and that opinions are labeled as such.
Publish with a useful next step. End with a reader action that helps them move forward without hard selling. For example: “Use this 7-question checklist to choose your next tool.”
Copy/paste prompt for the SME interview
You are an interviewing assistant. Your job is to extract original, first-hand insights from me (the subject-matter expert) to create a helpful blog post.
Rules:
- Ask ONE question at a time. Wait for my answer.
- Start by clarifying: target audience, their problem, desired outcome, constraints, and where they are in the decision process.
- Then explore: decision criteria, tradeoffs, examples (anonymized), caveats/edge cases, common mistakes, steps to take, signals/metrics to watch, and a practical next step for the reader.
- Separate and label (Factual) vs (Opinion/Experience). If uncertain, ask me to clarify or mark (Needs verification).
- Do NOT invent or guess stories, names, companies, credentials, numbers, results, or quotes.
- After each answer, briefly summarize the key points you heard and then ask the next best question.
- Continue until I say “done.”
When I say “done”:
1) Produce a proposed post outline with working headings and bullet points mapped to my answers.
2) List all statements that should be fact-checked before publication.
3) Ask for my approval or edits. Do not draft until I approve the outline.
After I approve the outline:
- Draft the article in a clear, direct voice, include a useful next step for readers, and keep any sensitive details anonymized. Mark anything still (Needs verification) for human review.
Quality-control checklist before you publish
Facts vs. opinions are clearly labeled in your notes, and the final draft reflects that distinction.
All names, dates, product claims, prices, and regulatory references are verified or removed.
Examples are specific enough to be useful but sufficiently anonymized to protect privacy.
The SME reviewed and approved the outline and the final draft.
Every section delivers something actionable: a tip, a criterion, a checklist, or a next step.
Formatting supports scanning: descriptive headings, short paragraphs, and clear subheads.
The post avoids invented stories, credentials, numbers, results, quotes, or identifying details.
What Google actually says about AI-generated content
Google’s guidance indicates that generative AI can help with research and structuring content, but creators should focus on accuracy, quality, and relevance. Publishing many pages that don’t add value may violate its scaled content abuse policy. Google’s people-first guidance emphasizes original information or analysis, first-hand expertise, and content created to help people - not to manipulate rankings. AI-generated material should be reviewed and fact-checked by humans before publication. See Google’s documentation: AI-generated content and Search.
Common pitfalls to avoid
Turning the interview into marketing claims. Keep the focus on decisions, tradeoffs, and steps the reader can take. Avoid superlatives and unverified boasts.
Overloading the draft with opinions stated as facts. Opinions are valuable when framed as experience (“In our work, we’ve found that…”). If a claim could reasonably be challenged, verify it or qualify it.
Skipping anonymization. Remove or disguise identifying customer details unless you have explicit permission. Even then, verify any numbers or timelines associated with the story.
Publishing without human approval. AI can help you move faster, but you are still accountable. Keep a human in the loop for every draft.
How to make your article genuinely helpful
A helpful article does more than define a topic. It helps a reader make a decision or take a step. To get there, ensure each major section answers a question an actual buyer is asking. For example:
What matters most when choosing between Options A and B?
What are the tradeoffs we’ll feel in month one vs. month twelve?
What’s the minimum viable step we can take this week to validate the direction?
What are the two or three common pitfalls - and how do we avoid them?
What’s the next step if we’re not ready to purchase yet?
If any section doesn’t answer a real question with useful detail, revise until it does.
From interview to outline: what “good” looks like
After the interview, your outline should read like a map of decisions and actions, not a list of generic subheads. Here’s a simple pattern to check yourself against:
Intro: Name the reader, the situation, and the decision they’re trying to make.
Section 1 (Decision criteria): 3–5 criteria ranked by importance, with quick why/when notes.
Section 2 (Tradeoffs and caveats): Where the choice goes wrong and how to spot early warning signs.
Section 3 (Process): A step-by-step you actually use, with timelines or checkpoints.
Section 4 (Examples): Anonymized scenarios that show how the criteria apply in the real world.
Conclusion (Next step): A small, useful action the reader can take immediately.
Editing for clarity and trust
Once the draft is complete, read it aloud. Replace passive phrasing with plain language. Cut any sentence that doesn’t move the reader toward a decision or action. Where you rely on opinion, make that explicit and add a quick “this applies when…” qualifier. Where you rely on facts, cite the source in your notes and double-check it.
A note on scale
It’s tempting to run this process at high volume. Resist the urge to publish quantity over quality. Publishing many pages that don’t add value can create problems. Treat each article like an asset: built carefully, reviewed thoroughly, and designed to help a real person do something specific.
Put this into motion
Here’s a simple 30-minute cadence you can repeat weekly:
5 minutes: Define the narrow topic and audience outcome.
15 minutes: Run the one-question-at-a-time interview.
5 minutes: Approve the outline and fact-check list.
5 minutes: Assign verification tasks and set a draft due date.
In most teams, the bottleneck isn’t writing - it’s capturing expertise. This cadence keeps the expert involved only where they’re uniquely valuable and ensures the published article reflects how your team actually works.
Need help operationalizing this?
MSW Interactive Designs implements AI-assisted editorial systems that keep humans in control. If you want a repeatable process - from interview prompts and review checkpoints to publication standards - ask us about the MSW Performance Program. We’ll help you integrate a people-first workflow that respects your expertise, safeguards accuracy, and produces content your audience can actually use.
It's free of charge but insanely valuable. We'll use the time the way you want to. Website or marketing review, AI integration ideas, you name it. Let's start a conversation - we're here to help you be successful online!
