AI and interview transcript coding: find themes without re-reading 100 pages

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-research-AI-and-interview-transcript-coding-r7a10-teen

1. You have completed 10 interviews for a school research project. Which task would be the BEST use of AI to help with your analysis?

   1. Asking AI to identify recurring themes and tag supporting quotes
   2. Asking AI to write the interview questions for you
   3. Asking AI to record your next interview for you
   4. Asking AI to count how many times each person said the word 'like'

2. What is a 'code book' in qualitative research?

   1. A physical notebook where you write down interview notes
   2. A document that lists the themes you've identified and how to recognize them
   3. A digital folder containing all your audio recordings
   4. A guide for how to conduct interviews properly

3. An outlier theme in interview analysis is best described as:

   1. A theme that AI cannot identify
   2. A mistake in the transcript that needs fixing
   3. The most popular theme across all interviews
   4. A theme that appears in only one interview out of many

4. What does the lesson mean when it says AI gives you a 'starting code book'?

   1. The code book is complete and ready to use without changes
   2. The code book replaces the need to read the transcripts
   3. The code book will automatically be accepted by your teacher
   4. You should use the code book as a draft to review and improve

5. What is 'thematic analysis'?

   1. Looking across all your data to find patterns and themes
   2. Recording yourself interviewing someone
   3. Counting the number of words in each interview
   4. Creating charts and graphs of survey results

6. When the lesson says AI can tag quotes 'with line numbers,' what does this mean?

   1. AI numbers each quote in alphabetical order
   2. AI adds line numbers to the entire document automatically
   3. AI removes line numbers that were already there
   4. AI identifies which specific lines in the transcript support each theme

7. Which statement about AI and interview analysis is TRUE based on what you learned?

   1. AI will always agree with your personal opinion about the themes
   2. AI can completely replace the need for human analysis of interviews
   3. AI can analyze audio recordings without you transcribing them first
   4. AI can help find themes faster, but you must still review all transcripts yourself

8. What is 'qualitative coding' in your own words?

   1. Assigning labels or categories to parts of your interview data based on themes
   2. Typing up the words someone said during an interview
   3. Selecting which interviews to include in your project
   4. Rating interview answers on a scale from 1 to 10

9. You ask AI to find 'themes that only appear in one interview.' What are you looking for?

   1. Themes that appear in every single interview
   2. Mistakes in the transcription
   3. The most common themes across all interviews
   4. Outliers or unusual perspectives that differ from the general patterns

10. The lesson compares manual coding to 'staring at 100 blank pages.' What does this metaphor mean?

    1. The pages are literally empty with nothing on them
    2. You need to print out 100 pages to do research
    3. It feels overwhelming and you don't know where to start
    4. Manual coding takes exactly 100 hours to complete

11. What is the FIRST step the lesson suggests when using AI for transcript coding?

    1. Ask AI to write your entire research paper
    2. Ask AI to conduct the interview for you
    3. Ask AI to decide if your hypothesis is correct
    4. Paste a transcript and ask AI to identify recurring themes

12. Why is it important to still read transcripts yourself even after using AI to find themes?

    1. AI always finds perfect themes and you need to verify its work is flawless
    2. Your teacher requires you to read them even though it's unnecessary
    3. AI might miss important context or make mistakes that you need to catch
    4. Reading transcripts is the only way to use AI for research

13. In the lesson's 'Try it' section, what specific request does it suggest making to AI?

    1. Correct all grammar mistakes in the transcript
    2. Tell you whether the interviewee is lying
    3. Find 3 themes and tag the supporting quotes
    4. Write a 5-page essay about your interview topic

14. What does it mean that AI does a 'first-pass coding'?

    1. AI creates the final published version of your research
    2. AI does the initial round of coding to give you a starting point
    3. AI goes through the data after you've finished your final analysis
    4. AI is the only coder and there will be no more rounds

15. A friend asks you what this lesson taught about using AI for research. What is the best summary?

    1. AI can speed up finding themes in interview transcripts, but you still need to verify everything yourself
    2. AI will make mistakes so you should never use it for research
    3. AI is only useful for math problems, not interview analysis
    4. AI can do all the research work so you don't have to read anything