How to design an interview outline
In the era of information explosion, designing an efficient access outline is an important means to obtain key information. Whether it is market research, academic research or media interviews, a clearly structured outline can help the questioner quickly focus on the core issues. The following is an interview outline design guide compiled based on hot topics and hot content across the Internet in the past 10 days, including structured data and practical suggestions.
1. Hot topic data reference (last 10 days)

| Ranking | Topic Category | heat index | Typical keywords |
|---|---|---|---|
| 1 | artificial intelligence | 9.8 | ChatGPT-4o, Sora film and television applications |
| 2 | international situation | 9.5 | Russia-Ukraine conflict, Middle East peace process |
| 3 | Technology products | 8.7 | Vision Pro review, foldable screen mobile phone |
| 4 | Health and wellness | 8.3 | Intestinal flora, light fasting therapy |
2. Visit outline design framework
1.Basic information module
• Interviewee identification (name/position/field of expertise)
• Access time and form (online/offline/duration)
• Core theme statement (summarized in 1 sentence)
2.Hotspot association module
Based on the data in the above table, it is recommended to approach it from the following angles:
• Views on the explosion of AI technology (relevant ranking 1 topic)
• Impact of international events on the industry (related ranking 2 topic)
• New product user experience feedback (related ranking 3 topic)
| module | Question type | Example questions | Questioning skills |
|---|---|---|---|
| open type | opinion gathering | "What do you think of the recent ethical controversy surrounding AI video generation tools?" | Avoid triggering words |
| closed type | Fact confirmation | "Does your company plan to launch AR hardware products this year?" | Limit answer range |
3.Deep mining module
• Use the 5W1H rule (Who/What/When/Where/Why/How)
• Design 3-5 progressive questions
• Reserve 1-2 points for sudden questioning
3. Structured data application examples
| stage | Time proportion | Number of questions | Data support |
|---|---|---|---|
| Icebreaker | 10% | 2-3 | 78% of respondents prefer a relaxed opening |
| core discussion | 70% | 5-8 | Average time spent per question is 4.2 minutes |
| Closing summary | 20% | 1-2 | 62% of visits miss key summaries |
4. Precautions
1.Hotspot timeliness: It is recommended to mark "can be adjusted according to the latest progress of the XX incident" in the remarks column of the outline.
2.data visualization: Prepare comparison charts for key data issues (such as the growth rate of AI investment in the past three years)
3.emergency plan: Prepare 2 alternative questions for each main question to deal with different answer directions.
Through the above structured design, it can not only ensure access to hot content, but also achieve in-depth information mining. It is recommended to conduct a simulation test before actual operation, and use the 30-second rule to check whether each question can obtain valid information within half a minute.
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