From 5 Interviews a Week to 20: What Paideias Actually Buys You Back

"If I use AI, how many interviews can I actually get through in a week?" We hear a version of this question constantly, from PhD students, UX researchers, market research managers, everyone planning a study and staring at a deadline. Underneath it is a real worry: will AI save this project, or will it force a shortcut you'll regret?

Here is the honest math, and why Paideias is built to answer it in your favor.

The manual baseline nobody wants to say out loud. A 45-minute interview transcript runs 8,000-10,000 words. Coding it properly, open coding, focused coding, constant comparison, memoing, takes an experienced researcher 3-5 hours. Five interviews a week is a good week. Seven means you're cutting corners, and you know it.

That's not a flaw in your process. That's just what thorough manual analysis costs. It doesn't scale, and it was never going to.

Notice what Paideias speeds up and what it deliberately leaves alone. Transcription and first-pass coding are pattern-recognition tasks, so Paideias' AI handles them in minutes. Memo-writing, where interpretation actually lives, stays yours. That puts you at 15-25 interviews a week instead of 5, without pretending the interpretive work can be automated away.

The weekly rhythm Paideias is built around. Run 3-4 interviews a day for two days. Upload recordings to Paideias in the evening; it transcribes overnight, ready for you to review each morning while the context is fresh. Spend the next two days running AI-assisted coding across every transcript, then curate: merge duplicates, question categories, catch what the AI lumped together or missed. Paideias surfaces these decisions clearly instead of hiding them in a black box. Close the week with theme mapping and writing, the part where you actually earn your keep.

What Paideias won't pretend to solve. Contradictions within a single interview, what a participant leaves unsaid, and connecting a finding to Bourdieu or prior literature, these all require a human mind. Paideias is built to clear the mechanical work off your plate precisely so you have the headspace left for this part, not to replace it.

What 15-20 interviews in a week actually gets you. For a focused question and a reasonably homogeneous sample, that's real thematic saturation, not a rushed convenience sample. A researcher studying international student accommodation experiences can recruit, interview, and analyze 18 participants in one week with Paideias. Without it, that's three weeks minimum. That difference means saying yes to tighter funding timelines and running genuinely iterative studies within a single project phase.

And if you're managing multiple studies at once, Paideias tracks your entire pipeline, which interviews are done, which transcripts are coded, where capacity is free, so coordination stops being the bottleneck once analysis speeds up.

AI won't do your thinking for you. Paideias is built to buy back the hours so the thinking you do is the thinking that actually matters. Try Paideias on your next study and see what a real week of research capacity looks like.