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User Research Platform

Modern user research platform.
AI-powered, end-to-end.

Plan, recruit, interview, and analyse in one tool. The AI moderates every conversation; themes, quotes, and recommended next steps ship the same day — not three weeks later.

5 interviews free to start. No credit card required.

40+ languages
Voice or text
GDPR-ready

Why traditional UX research stacks break

Three places legacy user research tools fall apart. AI doesn't.

The old stack — recruiting tool + video tool + transcript tool + tagging tool — trades depth, speed, and budget all at once. A modern user research platform shouldn't.

01

Siloed tools

Recruiting in one tool, calls in another, transcripts in a third, themes glued together in a fourth. Six tabs and a Notion doc per study.

With AskDeeper

One user research platform — plan, recruit, interview, analyse, share. The data flows; you don’t copy-paste.

02

Slow synthesis

Recordings pile up unread. Researchers spend more time tagging than thinking. Themes never make it to the product review.

With AskDeeper

AI extracts themes as responses come in. Frequency, sentiment, signal strength. Researcher time goes to interpretation, not coding.

03

Expensive panels

Recruiters charge $100–200 per qualified respondent. Two-week lead time. Half the budget burns on logistics, not insight.

With AskDeeper

Bring your own panel for free, or use built-in recruiting at $25–60 per completed interview. No-shows? The link stays open.

The platform

One user research platform, four pillars

Plan, recruit, interview, analyse. The user research process used to be four tools. Now it's one.

01

Plan

Brief the platform with your hypothesis. The AI drafts a discovery-grade interview guide tuned to the user research method you picked — generative, evaluative, qualitative, or mixed. Edit before you publish.

02

Recruit

Bring your own panel — paste an email list, post in Slack, drop it into your in-app feedback widget. Or use built-in recruiting against your ICP. Vetted panels, screener questions handled.

03

Interview

AI moderator runs every conversation with adaptive follow-ups to depth 3–4. Voice or text, in 40+ languages, on the respondent’s schedule. 24/7, no scheduling.

04

Insights

Themes auto-clustered with frequency. Verbatim quotes linked to source clips. Sentiment scored per theme. Cohort comparisons built-in. Export to Notion, Linear, Slack, PDF, or query the API.

User research methods

Every user research method, one platform

Generative or evaluative. Qualitative or mixed. B2B or consumer. AskDeeper's AI moderator is tuned to each method — not a one-size-fits-all chatbot.

Generative user research

Open-ended discovery: explore a problem space, surface unmet needs, map jobs-to-be-done. Best when you don’t yet know what you don’t know.

Evaluative user research

Test a concept, prototype, or live experience. The AI walks each respondent through it, asks them to think aloud, and surfaces friction points.

Qualitative research software, modernised

Replace NVivo, Atlas.ti, and manual coding with auto-extracted themes. Open coding, axial coding, and theme saturation reporting — same methodology, 50× the speed.

B2B user research

Win/loss interviews, account-level discovery, ICP validation. Tuned moderator playbooks that respect senior buyers’ time and probe for the deciding moment.

Continuous discovery

Always-on user research. Interview triggers fire on activation, churn, or NPS detractor events. Themes refresh weekly, not quarterly.

Concept and pricing tests

Van Westendorp, Gabor-Granger, MaxDiff, and open-ended pricing probes. The AI captures reasoning, not just numbers, and clusters segments by sensitivity.

What you get back

Themed insights, ranked by signal strength

Modern user research software shouldn't leave you with 30 transcripts to read. AskDeeper ships the artefact — themed, quoted, ranked, sourced — the same day the last respondent finishes.

  • Themes auto-clustered with frequency counts and signal-strength scores
  • Every verbatim quote linked to the exact timestamp in the source recording
  • Sentiment scored per theme and per respondent, not a single average
  • Cohort comparison across segments, plans, geographies, or time windows
  • Recommended next steps based on theme convergence and signal strength
  • Export to Notion, Linear, Slack, PDF — or query raw data via the API

Insight report · 16 interviews

How buyers shortlist analytics tools

3 themes
T01

Buyers shortlist on Reddit and Slack — G2 only confirms the choice

13/16 respondentspractical
81%
I posted in two Slack groups and a subreddit. G2 came in after, just to triple-check.R5 · Head of Product, Series B
Reviews on G2 feel astroturfed. Reddit is messier but I trust it more.R11 · Founding PM
T02

Onboarding-call requirement is a hard filter — even at enterprise tier

11/16 respondentsfirm
69%
If the pricing page says “Talk to sales,” I close the tab.R2 · Director, Series C
T03

Existing tool stack is the unspoken constraint

9/16 respondentspragmatic
56%
It needs to slot into Linear and Slack on day one. Otherwise no one uses it.R7 · PM, Series A

How it compares

AskDeeper vs. legacy user research stacks

The traditional stack chains 4–6 tools together. AskDeeper consolidates the workflow and adds AI on top.

CapabilityLegacySurveysAskDeeper
Stack consolidation
Plan + recruit + interview + analyse in one tool
4–6 tools
2–3 tools
No transcripts to copy-paste
Conversation depth
Adaptive AI moderation
If skilled
Voice + text, 40+ languages
Voice only
Text only
Speed to insight
Time to themed report after last response
Days
Hours
Minutes
Cohort comparison built-in

B2B user research

Built for buyers who won't book a calendar slot

Senior B2B buyers won't give you 30 minutes on Zoom — but they'll answer thoughtful questions on their phone in 10. AskDeeper's text mode is built for that, with a moderator playbook that respects time and probes for the deciding moment in a buying decision.

  • Win/loss interviews with closed-won and closed-lost accounts — surfacing the real reason, not the rep's memory of it
  • ICP validation against the segment you actually want, not the one filling the pipeline
  • Expansion research with current customers — what almost made them upgrade, and what stopped them

Sample win/loss probe

AI

Walk me through the three vendors you shortlisted. Where did each fall off?

Buyer

Vendor A had the best brand. Vendor B was cheaper. Vendor C was self-serve.

AI

Which of those three factors was actually the deal-breaker?

Buyer

Self-serve. We didn't want a procurement cycle.

The honest cut

AskDeeper vs Maze, UserTesting, Dovetail, and Synthetic Users

Each user research tool below is good at something different. Here's the honest cut, including when you should pick one of them.

DimensionAskDeeperMazeUserTestingDovetailSynthetic Users
Primary jobAI runs the interviews + ships insightsUnmoderated prototype + survey testingRecruited video sessions, enterpriseRepository for transcripts you already ranLLM-generated personas — no real respondents
Real respondents?Yes — voice or text, asyncYes — short, unmoderatedYes — recruited videoYes — bring your ownNo — LLM personas
AI moderationAdaptive follow-ups, depth 3–4None — task-based promptsNone — humans moderateNone — analysis onlyN/A — synthetic
Time to themed reportSame daySame day, no follow-upsDays, recruit + editDays, you tag manuallyMinutes, no ground truth
Pricing model$1–2 / completed interviewFrom ~$99 / user / monthQuote-based, enterpriseFrom ~$30 / user / monthFrom ~$15 / user / month
Best when youWant depth + speed + real usersTest a clickable prototypeNeed recorded video and procurement-ready vendorHave a research backlog to organiseBrainstorm — before talking to real users

Common questions

User research questions, answered

What is a user research platform?

A user research platform is software that supports the full UX research workflow — planning, recruiting, conducting research sessions, analysing results, and sharing insights — in one place. Traditional stacks chain together a recruiting marketplace, a video call tool, a transcription service, and a tagging tool. Modern user research platforms like AskDeeper consolidate that stack and add AI moderation so the work scales without losing depth.

What is user research?

User research is the systematic study of how people use, perceive, and decide between products. It splits into generative (exploring a problem space before you build) and evaluative (testing whether something works as intended). Methods include user interviews, usability tests, surveys, diary studies, card sorts, and concept tests. The goal is to replace assumption with evidence — to know what real users do, not what your team guesses they do.

How do you conduct user research with this platform?

Four pillars. (1) Plan — brief AskDeeper with your research question; the AI drafts an interview guide tuned to your method (generative, evaluative, etc.). (2) Recruit — bring your own panel or use built-in recruiting against your ICP. (3) Interview — the AI moderator runs each session adaptively, voice or text, in 40+ languages. (4) Insights — themes, quotes, sentiment, and recommended next steps land in a shareable report. The full loop is hours, not weeks.

What user research methods does AskDeeper support?

Generative discovery, evaluative testing, qualitative research, win/loss interviews, customer discovery, B2B user research, churn interviews, onboarding research, concept testing, and pricing studies (Van Westendorp, Gabor-Granger, MaxDiff). Each method has a tuned moderator playbook — the AI doesn’t use the same script for an open discovery interview as it does for a structured win/loss conversation.

Is this user research software or a UX research tool?

Both — same platform, depending on how your team frames the work. Product teams call it user research software; design teams call it a UX research tool. AskDeeper covers user research and UX research equivalently: the moderator handles attitudes, decisions, behaviour, and (for evaluative work) think-aloud protocols on prototypes and live pages.

How does AskDeeper compare to qualitative research software like NVivo or Dovetail?

NVivo and Atlas.ti expect you to run the research yourself, then code transcripts manually — they’re analysis tools. Dovetail is a research repository: you bring already-completed transcripts, organise them, and share themes. AskDeeper covers a different scope — it runs the research itself (AI moderation) and auto-extracts themes. Many teams pair them: AskDeeper to run, Dovetail to archive long-term.

Does this work for B2B user research?

Yes — B2B is one of the strongest fits. Senior buyers won’t book a 30-minute calendar slot, but they’ll answer thoughtful questions on their phone in 10 minutes. AskDeeper’s text mode is built for that. The B2B moderator playbook respects time, anchors questions in concrete buying decisions, and probes for the deciding moment ("when did you know this was the one?"). Win/loss, ICP validation, expansion research, and account-level discovery all use the same engine.

How is this different from synthetic users?

Synthetic Users and similar tools generate LLM personas — the model role-plays a fictional respondent. The data is fast and free, but it’s ultimately the model talking to itself. AskDeeper takes the opposite approach: real human respondents, AI moderator. 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.

What does the platform cost?

Per completed interview, not per seat. $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; built-in recruiting adds $25–60 per completed interview for the panel. Compare to $30–99/user/month for legacy user research tools that don’t include the conversation. The first 5 interviews on AskDeeper are free, no card.

Can multiple researchers collaborate?

Yes. Workspaces have role-based access (admin, researcher, viewer). Studies can be shared internally with comment threads on themes. Insight reports export to Notion, Linear, Slack, or PDF; raw data is queryable via the API for teams that want to plug it into their own warehouse or BI tool.

Privacy, consent, and compliance

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.

User research platform pricing

$1–2 / interview

Per completed interview, not per seat. Bring your own panel and stay at the low end.

vs legacy stacks

Legacy user research software runs $30–99 / user / monthand doesn't include the conversation.

Free tier

5 free interviews to start. No card.

See full pricing

Run your first study on the platform today

Brief the AI in two minutes, share one link, watch themed insights land before tomorrow's standup.

5 interviews free to start. No credit card required.