AI user research,
from recruit to insight in 24 hours.

AI user research is qualitative research where an AI moderator runs AI user interviews instead of a human researcher. The AI reads each answer, asks the next question from it, probes for specifics, and surfaces emotion — the same techniques a senior researcher uses. AskDeeper does this with real respondents, in voice or text, then auto-extracts themes and verbatim quotes. The researcher’s job shifts from running interviews to deciding what to do with the answers.

Synthetic users are LLM-generated personas — the model role-plays a fictional respondent. The data is fast and free, but it is ultimately the model talking to itself. AskDeeper takes the opposite approach: real human respondents, but the moderator is AI. You get the speed and scale of synthetic, with the ground truth of real conversations. Useful for both — synthetic for very early ideation, AskDeeper when the decision actually has to hold up.

Yes — and you can read sample interviews above before you publish. AskDeeper probes to depth 3–4: past the first polite answer, past the first reason, into the actual behaviour. It anchors abstract claims in concrete instances, surfaces decision logic, and reflects contradictions back. You review and edit the interview guide before launch, so your framing wins every time.

AskDeeper does the analysis automatically. As respondents finish, the AI extracts themes, clusters quotes, scores sentiment per respondent, and ranks themes by signal strength — how many respondents touched it, how strongly they did, where it converges across cohorts. Every theme links back to verbatim quotes, and every quote links back to the source recording timestamp. You can drill from a high-level theme to the exact 30-second clip in one click. Manual analysis tools like NVivo or Dovetail expect you to do the coding yourself — AskDeeper does it first, then lets you correct it.

Two paths. Bring your own panel — paste an email list, share one link in Slack, drop it in your in-app feedback widget, or send to your CRM segment. Or use built-in UX research recruitment against your ICP — we partner with vetted panel providers (similar to Respondent or User Interviews) and route screening questions through the same AI moderator. Built-in recruits are typically $25–60 per completed interview depending on segment difficulty. Either way: no scheduling, no rescheduling, no no-shows. Respondents start the interview the moment they get the link.

Forty-plus, including English, Spanish, German, French, Portuguese, Italian, Dutch, Russian, Polish, Turkish, Arabic, Hebrew, Hindi, Japanese, Korean, Mandarin, Cantonese, Vietnamese, Thai, and Indonesian. The AI moderates natively in each language — it doesn’t translate then run an English script. Themes and quotes can be reported in the original language or translated for stakeholders.

Around $1–2 per moderated interview on the platform fee, depending on plan and conversation length. Bring-your-own-panel keeps it at the low end. If you’re using built-in recruiting, add the panel cost (typically $25–60 per completed interview) on top. Compare to $50–150 in recruiter fees plus 30 minutes of researcher time for a manual interview. The first 5 interviews on AskDeeper are free, no card.

AskDeeper is GDPR-ready: customer-controlled data export and deletion per workspace, encrypted in transit and at rest, anonymised usage telemetry by default. Respondents consent to recording before every interview starts. SOC 2 Type II audit is on our 2026 roadmap and not yet completed — if your procurement team needs a formal report, talk to us about timing. Our public privacy policy details how we handle survey data, analytics, and respondent consent.

They solve different jobs. Dovetail is a research repository — you bring already-completed transcripts and use it to organise, code, and search them. AskDeeper runs the interviews for you, then ships an insight report. If your bottleneck is "I have 47 unread transcripts in Notion," Dovetail helps. If your bottleneck is "I need 30 interviews by Friday and I cannot schedule them," AskDeeper does. Many teams use both — AskDeeper to run, Dovetail to archive.

All three run AI-moderated interviews. The differences are in operating model and pricing. Outset is enterprise-flavoured, video-first, and bundles recruiting — best when your team wants a single platform with built-in panels and has procurement budget for a quote-based contract. Listen Labs leads with curated panels and consumer research. AskDeeper is the self-serve cut: bring your own panel, $1–2 per interview, voice or text, set up in two minutes. Best when you want to ship discovery this week and figure out enterprise procurement later — or never.

Per-interview: AskDeeper is $1–2 of platform fee per completed interview, plus your panel cost (free if you bring respondents, $25–60 each via built-in recruiting). Dovetail starts at roughly $30/user/month and does not include the interview itself — you bring the transcripts. Maze starts at around $99/user/month for prototype tests, no moderation. Apples-to-apples, the closest comparison is hiring a recruiter to run the whole funnel — typically $100–200 per interview and 2–3 weeks. AskDeeper’s first 5 interviews are free, no card.

No — and the answer matters. AI removes the busywork: scheduling, transcribing, first-pass theming, formatting reports. The strategic work — choosing what to research, framing the right question, knowing when an answer is too clean to trust, telling the team what to do with it — stays with the researcher. Teams that use AskDeeper run more research, ship faster, and rely on their researcher more, not less.