Reviews → roadmap. Without the spreadsheet hop.
See which features your customers ask for most, which signals point to churn, and what your G2 page actually says about you — all in one workbench, with one click to push to Linear, Slack, or any webhook.
The roadmap your customers already wrote for you.
AI pulls every feature ask — from G2, Trustpilot, in-app, Smart Forms — into named requests, then ranks them by how many people want it, who they are, and how much ARR's behind them.
Click into one and you'll see the actual quotes, which accounts are asking, and a Linear ticket already filled in with the summary.
Open feature requests →The renewal-killer you'd find three weeks too late.
Flag the accounts that are turning — the reviews, the in-app feedback, the tone of support tickets all drifting toward churn, whether that's pricing gripes, a competitor's name, a rough onboarding, or NPS sliding.
CS gets a queue. Sales gets context. Product gets the cluster of themes that links the at-risk cohort, so the next ticket tackles the reason people are leaving.
Open at-risk queue →One click from insight to Linear, Slack, or a webhook.
Push an insight to Linear and the ticket shows up ready to work, labelled and summarised.
Route in bulk by theme — every "API rate limits" insight to the Platform team, every "Onboarding" one to Growth — each landing in a Slack channel. Or send the lot to a webhook that retries if it fails.
Open integrations →Questions & answers
Which B2B review platforms do you connect to?
G2, Trustpilot, App Store, Google Play, plus RSS, CSV upload, and our API for anything else. New reviews ingest within minutes; historical reviews backfill on first connection.
How long does it take to set up?
Most teams are up in under an hour. Connect a review source via OAuth or API key, kick off the historical backfill, and the AI starts clustering once you have enough volume. From there it's picking the views your team wants pinned to the sidebar.
Can the workbench be split per team — Product, CS, Sales?
Yes. Each team gets their own saved views — Product filters by theme cluster, CS by at-risk queue and renewal window, Sales by named-competitor mentions and quotable advocates. Same underlying data, different lenses. Notes and comments stay shared across views.
What counts as a "churn signal"?
A configurable set of cluster matches — pricing complaints, named-competitor mentions, onboarding friction, declining NPS, support-tone shifts, and more. You set the threshold per signal type per workspace.
Connect G2. See your roadmap, ranked.
Top requests, churn signals, and Linear-ready tickets in one workbench. Free plan included — no credit card.