Track MVP metrics with compound AI intelligence
VP Product workspace that learns your context and automates metric analysis
Backed by the best
MVP metrics scattered across disconnected tools
You're juggling Google Analytics for traffic, BigQuery for user behavior, customer feedback in Gmail, and support tickets in another system. Each Monday morning means manually pulling data from five different sources, trying to piece together whether your MVP is actually working. By the time you've compiled everything into a coherent story, another week of development decisions have been made with incomplete information.
- Manually pulling engagement metrics from Google Analytics every week
- Customer feedback buried across Gmail, support tickets, and user interviews
- Engineering team asking for priority decisions without complete user data
- Board deck preparation requires three days of data gathering
AI that tracks your MVP metrics automatically
- Get unified MVP health reports that combine user behavior, feedback, and technical metrics
- Ask natural language questions about user segments and get instant analysis with sources
- Automatically flag concerning metric trends and suggest specific product decisions
- Generate board-ready insights that connect user behavior to business outcomes
How it works
- 01
Connect data sources
Link Google Analytics, BigQuery, user feedback systems, and support tools through guided authentication setup.
- 02
Ask metric questions
Query user engagement, conversion funnels, or feedback trends in natural language across all connected data sources.
- 03
Get automated insights
Receive scheduled reports, trend alerts, and board-ready analysis that connects user behavior to business outcomes.
What Brainvolt brings to your workflow
Contextual Metric Intelligence
AI draws from Google Analytics, BigQuery, user feedback, and support data simultaneously. Ask 'Why did activation drop last week?' and get analysis connecting traffic sources, user behavior patterns, and specific customer complaints with cited sources.
Automated Reporting Workflows
Schedule weekly MVP health reports that compile engagement metrics, user feedback sentiment, and technical performance. AI learns your reporting format and automatically flags metrics requiring immediate attention or board-level discussion.
Real-time Data Connections
Connect Google Analytics, BigQuery, support systems, and user research tools. Create custom integrations for specialized analytics platforms through conversation. All your product data accessible to AI in every analysis.
Team Knowledge Sharing
Share AI channels with engineering, design, and marketing teams. Everyone sees the same metric interpretations and user insights. Product decisions documented with full context for future reference and team alignment.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.