Long interview transcripts can break ChatGPT’s thread
A product manager is using ChatGPT to find themes in long , but the often exceed the . Splitting the material into smaller parts creates a new problem: ChatGPT stops carrying the thread across sections.
As a result, themes that appear across the full set of interviews can get missed. The core need is a cleaner way to analyze long research material without losing the bigger pattern across all segments.
Key points
- Long interview can exceed ChatGPT’s .
- Breaking into chunks can make ChatGPT lose the thread between sections.
- Cross-interview themes may be missed when the full set is not considered together.
- Long research analysis needs a more structured than simple copy and paste.