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Detect what changed
Connect product analytics and spot meaningful drop-offs, loops, and unexpected behavior before they become a dashboard discussion.
See the signal.
Know the reason.
Product research, in context
Askdepth turns a change in user behavior into a focused study — then brings the answers, evidence, and next steps to your team.
AskClaw
Your autonomous research agent. From product signals to human answers and evidence-backed next steps.
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Analytics sees the drop.
Research finds the reason.
Askdepth connects the two moments that usually sit weeks apart: noticing friction and understanding the human decision behind it.
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Frame the right question
Askdepth turns a signal into a focused research brief, selects the relevant segment, and recommends the right method.
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Hear from real people
Run surveys and AI-moderated interviews that adapt to what people say — without leading them toward your hypothesis.
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Act on evidence
See themes, jobs, barriers, source quotes, and a prioritized action backlog in one Research Workspace.
Move across the cards ↗
From a quiet drop-off to a decision you can defend.
01Signal
An anomaly appears
Add-to-cart drops for people comparing appliance models. Askdepth spots the change in their journey.
02Investigation
We follow the friction
The agent traces who is affected and investigates the question behind the drop-off.
03Evidence
Real answers explain why
Focused research brings back the barriers and quotes behind the behavior.
04Pull request
A change is ready to review
AskClaw turns the finding into a pull request your team can inspect and approve.
Illustrative scenario based on an online shopping journey. Your team reviews every proposed change before it is merged.
A better brief begins with
a better question.
Shape the brief
Turn the first question into a focused study your team can review and refine.
See the brief in action
Keep exploring with AskClaw
Connect the signal to the research context and work through the next question together.
Meet AskClaw
Bring evidence into Builds
Carry a supported opportunity into a concrete product change for review.
Explore BuildsResearch methodology, compared.
Key questions, answered.
Explore how Askdepth orchestrates research modes across the product lifecycle, maintains verbatim traceability, and ensures compliance under EU standards.
Primary SignalSurfaces narrative and JTBD contradictions before fieldwork; reveals untested assumptions and guide gaps with zero recruiting required.
When to UseRapid sanity check of hypotheses and discussion guide calibration; runs in minutes before committing to live respondent recruitment.
Primary SignalQuantitative signal with real-time pattern detection as responses stream in, isolating recurring friction before the full sample closes.
When to UseValidating or disproving specific hypotheses across target audience segments at statistical scale.
Primary SignalContext, motivations, and emotional barriers via Discussion Guide structure, topic coverage, deep follow-up probes, and unprompted discovery flags with strict non-leading moderator neutrality.
When to UseDeep exploratory research, diagnosing customer churn, and validating high-stakes product bets.
The questions teams keep asking.
- Trial-to-paid conversion audits
- Churn & drop-off investigation
- Continuous user interviews
- Onboarding friction audits
- Pricing & tier validation
- Feature adoption deep-dives
- Competitive UX mapping
- Concept & prototype testing
- Buyer hesitation mapping
- Post-launch sentiment tracking
Find out what your usersare trying to tell you.
Askdepth spots what changed, investigates why, and opens a research-backed pull request for your review.
Explore Askdepth ↗Frequently asked questions.
Askdepth is an AI research platform that connects product analytics anomalies directly to qualitative human insights. When user behavior shifts, Askdepth formulates research briefs, conducts synthetic or live respondent interviews, and streams real-time analysis into prioritized JTBD recommendations. Through AskClaw, findings can be translated directly into code changes and pull requests.
Synthetic Interviews evaluate multi-dimensional AI personas built from your brief context to test hypotheses and surface narrative contradictions in minutes with zero participant recruiting. In contrast, live AI-Moderated Interviews engage real human respondents in synchronous voice dialogue. The live moderator executes a 4-layer interview architecture—navigating guide structure, monitoring coverage, probing superficial answers, and flagging unprompted discoveries—with strict non-leading neutrality.
The Askdepth Analysis Engine operates a continuous 5-stage streaming pipeline: (1) structuring raw transcripts into meaning units, (2) inductive thematic coding emerging directly from participant words, (3) multi-respondent pattern detection requiring unprompted recurrence, (4) Jobs-to-be-Done (JTBD) mapping into Jobs, Pains, and Gains, and (5) Ulwick Opportunity Scoring (importance vs. satisfaction). Every synthesized insight and recommendation is strictly traceable and clickable down to verbatim respondent quotes and timestamps.
AskClaw connects behavioral telemetry to qualitative discovery by monitoring user drop-offs and metric shifts in platforms like PostHog, Mixpanel, and Amplitude. When an anomaly appears, AskClaw triggers focused qualitative research studies to uncover the human reasons behind the behavioral change. Once findings are synthesized, AskClaw prepares pull requests with verified product or copy changes for team review.
Askdepth ensures compliance with GDPR and EU AI Act Article 50 through automated privacy safeguards, beginning with an upfront Trust Gate disclosure informing respondents that the interviewer is an AI agent before dialogue begins. Audio transcription runs via secure real-time WebSocket streams where raw audio recordings are never stored on persistent storage, and all data processing is protected by EEA data hosting and standard contractual clauses (SCC).
Yes, coding agents like Claude Code, Codex, and Cursor can query Askdepth research directly using the official Model Context Protocol (MCP) server and developer SDKs. Engineering agents can query research briefs, inspect interview transcripts, and fetch validated JTBD opportunity scores right from their terminal or coding environment. Integration instructions and documentation are available at askdepth.com/docs.