The Challenge
When analytics projects live in Hex but only data analysts can extract insights from them, entire teams are blocked from the information they need. Product managers, marketers, and operations leads end up submitting informal requests and waiting, creating a backlog that slows the whole organization down.
- Product teams can’t independently investigate feature adoption metrics or user behavior trends
- Marketing managers rely on analyst availability to understand campaign and funnel performance
- Operations leads lack direct access to the operational metrics driving their daily decisions
- Analytical bottlenecks slow cross-team collaboration and delay strategic alignment
- There’s no shared audit trail of analytical questions and findings across teams
The Autohive Solution
Autohive’s Hex integration empowers every team to participate in data exploration without analyst dependency. Teams can discover existing Hex projects, spin up AI-powered analysis threads, and engage in multi-turn conversations to go deeper into findings—all while maintaining a documented trail of their analytical process.
Self-Service Data Access
Any authorized team member can search for relevant Hex projects and initiate data conversations. Product managers, marketers, and ops teams explore data on their own timeline, without waiting for analyst capacity.
Multi-Turn Analytical Conversations
Conversations with your data don’t have to end after the first answer. Use the continue_thread capability to ask follow-up questions, refine your understanding, and dig deeper into findings—all within the same contextual thread.
Documented Analytical Audit Trail
Every thread represents a documented record of questions asked and answers received. Teams build institutional knowledge, share findings with stakeholders, and avoid duplicating analytical work that has already been done.
Benefits
- Democratized data access - Every team explores data independently, not just data analysts
- Faster cross-team alignment - Shared project access means everyone works from the same data source
- Reduced analyst queue - Non-technical teams handle routine queries themselves, freeing analysts for high-value work
- Institutional knowledge - Documented threads become a searchable record of analytical history
- Scalable collaboration - As teams grow, data exploration scales without proportionally increasing analyst headcount
How It Works
- Discover shared projects - Search existing Hex analytics projects to find the data most relevant to your team’s questions
- Create an analysis thread - Initiate an AI-powered thread to ask your specific question about the project data
- Monitor and receive results - Track thread status and review AI-generated findings when the analysis completes
- Dig deeper with follow-ups - When the thread reaches IDLE status, continue the conversation with refined questions or new angles
- Share and document insights - Use thread history as a record of findings to share with stakeholders and build on over time
Getting Started
- Sign up at app.autohive.com
- Connect the Hex integration from the marketplace
- Configure team access to relevant Hex analytics projects
- Deploy your agents and enable cross-team self-service data exploration
