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Track MVP metrics with AI that learns your product data

Project managers get automated insights, predictive analytics, and real-time dashboards from all data sources.

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Backed by the best

MVP tracking shouldn't drain your sprint capacity

You're juggling user analytics from Google Analytics, crash reports from app stores, customer feedback from support tickets, and revenue data from Stripe. Every Monday, you spend three hours manually pulling numbers into spreadsheets, trying to spot patterns across platforms. By the time you present insights to stakeholders, the data is already outdated and the team has moved on to new features.

  • Manually copying metrics from five different dashboards every week
  • Missing critical user behavior patterns buried across platforms
  • Spending entire mornings building reports instead of solving problems
  • Presenting stale insights while fast-moving startups need real-time decisions

AI that automatically tracks, analyzes, and predicts your MVP performance

  • Get unified dashboards combining user analytics, revenue, crashes, and feedback in one view
  • Receive automated alerts when key metrics hit thresholds or unusual patterns emerge
  • Generate executive summaries with insights and recommended actions for stakeholder meetings
  • Build predictive models that forecast user retention and revenue based on current trends

How it works

  1. 01

    Connect data sources

    Link Google Analytics, Stripe, app store APIs, support tools through guided authentication. AI maps your metrics automatically.

  2. 02

    Define success metrics

    Tell AI your key performance indicators. It learns patterns, sets baselines, and watches for significant changes.

  3. 03

    Get intelligent insights

    Receive automated reports, predictive forecasts, and actionable recommendations. AI learns what matters most to your stakeholders.

What Brainvolt brings to your workflow

Contextual Analytics Intelligence

AI pulls data from Google Analytics, Stripe, GitHub, support tickets, and app stores simultaneously. Gets complete user journey picture with source citations for every insight and metric correlation.

Automated Reporting Workflows

Schedule weekly stakeholder reports, daily metric summaries, or threshold-based alerts. AI builds charts, writes executive summaries, and emails stakeholders automatically when metrics shift.

Predictive Trend Analysis

AI spots patterns in user behavior, revenue trends, and feature adoption. Forecasts retention rates, revenue projections, and identifies which metrics predict long-term success.

Cross-Platform Data Integration

Connect any service with an API through conversation. Pre-built integrations with Google Analytics, BigQuery, GitHub, plus on-demand connections to customer tools and databases.

Frequently asked questions

More use cases
  • For Product Managers
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  • Replace Excel + Dashboards + Meetings
  • Brainvolt vs Notion AI
  • Brainvolt vs ChatGPT for Teams

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