Customer Intelligence
GAVoice-native AI interviews with customers, prospects, and reps. Live transcripts, scoring, and skills assessment.
What it is
AI Interview Studio runs structured, AI-led voice and chat interviews against any audience: customers for win-loss analysis, prospects for buyer-research, reps for sales coaching, candidates for hiring assessment. The interviewer agent follows a configurable scoring rubric, captures a full conversation timeline with mic-level monitoring, and produces analyzed transcripts with sentiment, theme, and competency scoring. Every interview attaches to the graph — to the contact, account, opportunity, or product it concerns — so the insights flow into Customer 360, Battlecards, ICP scoring, and quarterly readouts without any manual re-entry.
See it in the product
AI Interview Studio
A live capture from the production workspace lands here once AI Interview Studio ships its public preview cohort.
Top 5 capabilities
Each capability is the parent of dozens of typed features in the production taxonomy. Hover any feature in Studio to drill into the underlying nodes.
9 features
The interview surface is built on a streaming voice runtime with provider fallback so a participant always gets through. Real-time mic-level visualization, automatic noise suppression, push-to-talk plus continuous modes, and a chat-first fallback for participants on flaky networks. Sessions support up to 90 minutes with no quality degradation.
8 features
Each interview type ships with a starting rubric: win-loss (decision criteria, deciding factors, competitor evaluation), customer research (problem, frequency, current solution, gaps), sales coaching (discovery quality, MEDDIC stages, objection handling), hiring (skills assessment, leveling). Rubrics are editable with weights, pass/fail gates, and signal mappings that route findings to the right downstream module.
6 features
Interviews live in a versioned library scoped to the workspace. Templates carry question sets, branching logic, scoring rubrics, and required follow-ups. A shared question bank lets teams reuse high-signal questions across templates without copy-paste drift.
5 features
When an interview completes, the analyzed output writes back to the linked graph entities. Win-loss interviews populate Deal Tips and the CI Impact Dashboard; customer research feeds Reviews Analytics and Segments; coaching writes to RevOps dashboards. No manual re-entry.
4 features
APEX can schedule an interview, draft the question set against the target persona, jump into the Room tab, or summarize the analytics — all from chat. Useful for high-volume programs where the interviewer doesn't want to context-switch to the Studio interview surface for each call.
More from Customer Intelligence
Dynamic audiences across accounts, contacts, products, and reviews — authored in plain English.
Build, score, and activate Ideal Customer Profiles against the live graph.
Aggregated review intelligence across G2, TrustRadius, GetApp, Capterra, ProductHunt, and 200+ sources.
Unified hub for customer research — sentiment, satisfaction, typical-user profile, source mix.
30-minute walkthrough. We'll filter the workspace to your category and walk through the top capabilities live.
