Track MVP metrics with intelligent product management
AI workspace that connects your analytics, learns from your decisions, and automates product insights.
Backed by the best
MVP metrics scattered everywhere
You're juggling Google Analytics for web traffic, App Store Connect for mobile downloads, Stripe for revenue, and customer feedback from multiple channels. Building weekly reports takes hours of manual data gathering. When stakeholders ask about user retention or feature adoption, you're scrambling through different dashboards. Critical product decisions get delayed while you hunt for the right metrics across disconnected tools.
- Manually copying metrics from Google Analytics, Stripe, and app stores weekly
- Missing correlation between user behavior and revenue trends
- Stakeholder questions require hours of dashboard jumping
- No single view of MVP performance across all channels
One AI workspace that knows your entire product
- Connect all analytics tools and get unified MVP performance reports automatically
- Ask questions in plain English and get insights from all data sources
- Track user journeys from acquisition to conversion across every touchpoint
- Build custom metrics dashboards that update themselves and alert on anomalies
- Share live insights with stakeholders without manual report building
How it works
- 01
Connect data sources
Link Google Analytics, Stripe, app stores, and customer feedback tools through guided authentication setup.
- 02
Ask product questions
Query your data in natural language across all connected sources with automatic citations.
- 03
Automate insights
Schedule reports, set alerts for metric changes, and share live dashboards with stakeholders.
What Brainvolt brings to your workflow
Contextual Analytics Intelligence
AI draws from Google Analytics, Stripe, BigQuery, and customer feedback simultaneously. Ask about user retention and get correlated data from acquisition channels, feature usage, and revenue impact with source citations.
Compound Product Knowledge
Every product decision and hypothesis gets remembered. Failed experiments become reference points. Successful optimization strategies become reusable playbooks for future features and product iterations.
Automated Metric Tracking
Schedule weekly stakeholder reports, set alerts for conversion drops, and build custom dashboards. Code execution enables complex cohort analysis and funnel calculations automatically.
Cross Team Collaboration
Shared AI channels with engineering and design teams. Product decisions visible across functions. Multiple stakeholders can contribute to the same analysis thread with full context preserved.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.