Customer hub
GAUnified hub for customer research · sentiment, satisfaction, typical-user profile, source mix.
What it is
Customer Discovery is the home base for recurring customer research. It pulls your highest-signal customer surfaces, including sentiment, satisfaction, your typical-user profile, segment summaries, and a source-mix breakdown, into one persistent view that a product or customer-success leader can open at the start of every quarterly review. Findings flow straight into Segments, ICP Analysis, and AI-drafted readouts.
See it in the product
Customer Discovery
A live capture from the production workspace lands here once Customer Discovery ships its public preview cohort.
Top 4 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.
Discovery returns reviewer-level records rather than aggregates, each carrying role, industry and company size alongside what they moved from and why. It is the buyer's own account of the decision, not an intent score inferred from page views.
Because a review carries typed keys for the reviewer's employer, industry, role and country as well as the product, changing one filter re-cuts the ICP view, the buyer profiles, the competitor reviewers and the prospect list from a single population — rather than stitching four vendors' exports together.
Reviewers are grouped by role, industry and size, and each group carries the use cases and pros written in their own words. A persona assembled in a workshop cannot cite anything; this one opens onto the review it came from.
The prospect lens queries the public company records filtered by the same industry taxonomy that defined the profile, so a prospect is not a name on a list — it opens straight into its own 360.
More from the Customer hub
AI-run interviews and surveys that auto-launch when a deal closes, pay the respondent for their time, and report back as win-rate lift — not response rates.
Dynamic audiences across accounts, contacts, products, and reviews · authored in plain English.
Build, score, and activate Ideal Customer Profiles against the live graph. Customer → Discovery → ICP.
One review corpus across G2, TrustRadius, Gartner Peer Insights, Gartner Digital Markets, and Product Hunt — vectorized, so any capability can be evidenced by the reviews that actually discuss it.
Public-data 360 profile of a customer across products used, tech stack, contacts, and signals.
30-minute walkthrough. We'll filter the workspace to your category and walk through the top capabilities live.
