Four/Four

Most teams are sitting on a goldmine of customer insight they never actually use. It's scattered across sales calls, support tickets, emails, Slack chats, and survey responses, and by the time anyone gets around to reviewing it, the moment to act on it has usually passed. So instead, product roadmaps get built on internal opinion, sales pitches lean on assumptions, and customer success finds out about churn risk right around the time the customer cancels. Four/Four exists to fix that.

Four/Four is an AI-powered customer research co-pilot that connects to the tools teams already run on — Salesforce, HubSpot,, Zoom, Jira, Slack, Zendesk, Gong, and 30+ other integrations — and turns every call, ticket, and message into structured, usable intelligence. It automatically surfaces the pains, unmet needs, feature requests, and objections customers are raising, organised using frameworks teams already think in, like Jobs-to-be-Done, MEDDIC, and SPICED, and it links every insight back to the exact moment it was said so nobody has to take a summary on faith. Ask it a question in plain English and its AI Analyst will answer using real customer conversations as evidence, not guesswork. It clusters emerging themes automatically, tracks sentiment over time, and pushes findings straight into Slack, Jira, or email so the right people see them without having to go looking.

That makes it especially useful for the people who live inside customer conversations all day but rarely have time to synthesise them: product managers who need real evidence before committing engineering time to a feature, sales reps who want sharper account intelligence going into a call, marketers trying to get messaging right based on how customers actually describe their problems, and customer success teams trying to catch account risk before it becomes a lost renewal.

At its core, Four/Four is about closing the gap between what customers are telling you and what actually makes it into decisions.