How to Use ChatGPT to Prepare Smarter Media Interviews and Features
- Edward Frank Morris
- 6 days ago
- 3 min read
A good media interview feels effortless when you read it.
The questions flow naturally. The answers reveal something interesting. The reader finishes the article feeling like they learned something new.
Behind the scenes, however, that smooth conversation usually begins with a lot of preparation.
Journalists and contributors research the topic, identify gaps in the story, and think carefully about the questions that will unlock insight. Without that groundwork, interviews quickly become predictable. The same surface-level questions appear again and again, and the answers begin to sound like rehearsed speeches.
This is where ChatGPT can quietly become a powerful research assistant.
Instead of replacing the journalist or interviewer, it helps generate structure. It can surface historical context, highlight emerging trends, and suggest angles that might otherwise be overlooked. When used carefully, it can help interviewers move past generic questions and explore topics that actually matter to readers.
For example, rather than simply asking an executive about industry growth, an interviewer might ask how a recent shift in technology has changed customer behaviour, or how smaller companies are responding to the same trend. These kinds of questions create richer conversations and more compelling stories.
ChatGPT can also help identify useful supporting material. Data points, timelines, and comparisons give interviews context and credibility. They help readers understand not only what someone believes, but why it matters in the broader landscape.
The important part is intention.
If the goal is simply to fill a page, a few quick prompts might produce a list of questions. But if the goal is to produce an insightful feature, the prompts should focus on depth. Ask for historical milestones, emerging viewpoints, and unexpected perspectives.
A well-prepared interview does not just report information. It reveals the thinking behind it.
And that is what keeps readers paying attention long after the headline.
Practical Tips for Preparing Media Interviews
Research the Topic First Understand the basics before asking AI to generate questions.
Focus on Insight, Not Just Information Ask questions that reveal reasoning, experience, and perspective.
Use Follow Up Prompts Generate deeper questions based on initial answers or themes.
Check Data Points Carefully Verify statistics and historical references before publication.
Look for Unique Angles Ask about trends, minority viewpoints, or unexpected impacts.
Prepare Supporting Context Include timelines, comparisons, or background information.
Refine Questions for Flow Ensure the interview reads like a conversation rather than a checklist.
Prompts
# MEDIA FEATURE RESEARCH PROMPT
## ROLE
You are a media research assistant helping prepare a feature article.
## INPUT
- Topic: **[subject]**
- Audience: **[publication readers]**
- Desired data points: **[statistics, trends, comparisons]**
## OUTPUT
Provide:
1. Key statistics or data points
2. Emerging trends related to the topic
3. Notable comparisons or historical context
4. Sources or organisations associated with the topic
# MEDIA INTERVIEW QUESTION PROMPT
## ROLE
You are helping prepare thoughtful interview questions.
## INPUT
- Topic: **[subject]**
- Interviewee role or expertise: **[position]**
- Audience: **[publication readers]**
## OUTPUT
Generate:
1. Five primary interview questions
2. Two follow up questions for each
3. One unexpected angle or perspective to explore
# EXPERT QUOTE AND COMMENTARY PROMPT
## ROLE
You are assisting with identifying expert perspectives.
## INPUT
- Topic: **[subject]**
- Subtopic: **[specific focus]**
- Type of expert: **[academic, executive, researcher]**
## OUTPUT
Provide:
1. Relevant organisations or expert profiles
2. Possible viewpoints those experts might express
3. Contrasting opinions within the field
4. Questions that could draw out strong quotes
# INDUSTRY TIMELINE PROMPT
## ROLE
You are helping provide historical context for a media feature.
## INPUT
- Industry or field: **[sector]**
- Topic focus: **[specific development]**
## OUTPUT
Provide:
1. Major milestones in the industry
2. Key turning points or innovations
3. Trends that shaped the current landscape
4. Comparisons between past and present developments
# UNIQUE MEDIA ANGLES PROMPT
## ROLE
You are helping identify interesting story angles.
## INPUT
- Topic: **[subject]**
- Target audience: **[readers]**
## OUTPUT
Suggest:
1. Three unusual perspectives on the topic
2. Relevant demographics or stakeholders
3. Potential interviewees who could provide insight
4. Questions that could reveal surprising viewpoints



Comments