Reference table
Disclosure vs elaboration in research interviews
Two separate things an interviewer has to get right. Disclosure is whether people say the difficult thing at all, and decades of mode-effect research show automated modes do better because no human is judging. Elaboration is whether people explain why, which depends on real-time follow-up and has historically favored skilled human interviewers. Use it to separate the two questions when judging AI-moderated research tools such as Koji.
Where this appears
What's in this reference table
| Disclosure | Elaboration | |
|---|---|---|
| The question it answers | Will they say the difficult thing at all? | Will they explain why, four layers down? |
| Historically better | Automated modes | Skilled human interviewers |
| What it depends on | Perceived audience | Real-time comprehension and follow-up |
| Settled by research? | Yes, decades ago | No, this is the live question |
Use this image
Free to use in your docs, decks and posts under CC BY 4.0, as long as you credit Koji with a link to this page. To embed it, paste this into your page:
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<a href="https://www.koji.so/visuals/disclosure-vs-elaboration-ai-interviews"><img src="https://www.koji.so/visuals/disclosure-vs-elaboration-ai-interviews/disclosure-vs-elaboration-ai-interviews.png" alt="Table contrasting disclosure and elaboration: automated modes do better on disclosure, skilled human interviewers on elaboration." width="1200" height="669" /></a>
<p>Source: <a href="https://www.koji.so/visuals/disclosure-vs-elaboration-ai-interviews">Disclosure vs elaboration in research interviews</a>, Koji</p>
