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Using AI to design questions, transcribe, and surface themes from interviews.
Some of the best teen research projects involve actually talking to humans — local experts, business owners, community members. AI doesn't replace the conversation, but it can help you design good questions, transcribe in seconds, and find themes across multiple interviews that you'd otherwise miss.
Identify one expert in something you're researching. Email them today asking for a 15-minute call.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ai-interview-research-final2-teen
Which statement best describes a semi-structured interview?
What is the main benefit of asking AI to review your interview questions before talking to someone?
What does it mean to transcribe an interview?
Which of the following is mentioned in the lesson as a tool for transcribing interviews?
What is thematic coding?
After completing an interview, why is it important to send a thank-you message AND a one-paragraph summary of what you learned?
What is a leading question in an interview?
Why should interview questions avoid yes-or-no traps?
You have transcribed three different interviews. How could AI help you make sense of them together?
What makes talking to real people (primary research) particularly valuable for a student project?
Before pasting interview transcripts into AI for analysis, what should you do first?
What does it mean when the lesson says AI helps you process interviews at scale?
When asking an expert for an interview, why might you suggest a specific time limit like 15 minutes?
Which of these is a good reason to interview a local business owner or community member for a research project?
If an interview transcript is described as verbatim, what does that mean?