• How It Works
  • Pricing
  • Blog
  • FAQ
GitRank
  • How It Works
  • Pricing
  • Blog
  • FAQ
로그인가입하기
GitRank

AI-powered PR analytics that measure developer impact, not just activity.

© 2026 GitRank. All rights reserved.
Product
  • Features
  • How It Works
  • Pricing
  • FAQ
비교하기
  • GitRank vs LinearB
  • GitRank vs Jellyfish
  • GitRank vs GitClear
  • LinearB 대체 서비스
  • Jellyfish 대체 서비스
Resources
  • Blog
  • GitHub
  • Documentation
  • 기여하기
회사
  • Contact
  • Terms of Service
  • Privacy Policy
For Product Managers

Understand your product throughdevelopment data

Component health scores, bug hotspots, knowledge silos, and ownership visibility. Make data-driven decisions about your roadmap.

Start FreeSee How It Works
The Problem

PMs fly blind on technical health

Without visibility into development patterns, product managers can't make informed decisions.

No Technical Visibility

PMs don't know which components are unstable or where bugs concentrate.

Roadmap Disconnected

Planning happens without understanding where the team is actually spending time.

Hidden Dependencies

Single points of failure and knowledge silos aren't visible until it's too late.

No Quality Trends

Can't tell if product quality is improving or declining over time.

How It Works

From PRs to actionable insights

Every evaluated PR contributes to a complete picture of your product's health.

Step 1

PRs Are Tagged

Every PR is automatically classified by component, severity, and type (bug fix, feature, refactor).

Step 2

Data Accumulates

Over time, patterns emerge: which components have the most bugs, who works where, what's getting attention.

Step 3

Analytics Aggregates

Our analytics engine calculates health scores, identifies silos, and ranks components by risk.

Step 4

Dashboards Surface Insights

Beautiful dashboards show you exactly where to focus attention and investment.

Component Health Score
Dashboard
Auth92%
Payments78%
Dashboard85%
API65%
Features

Deep visibility into your product

Six powerful analytics views designed for product managers and engineering leaders.

Component Health Scores

Aggregate metrics into a single health score per component. Quickly identify problem areas.

  • Combined bug/feature ratio
  • Code churn analysis
  • Test coverage trends
  • Contributor diversity

Bug Hotspot Identification

See where P0 and P1 bugs are concentrated. Focus quality efforts where they matter most.

  • Severity distribution
  • Time-to-fix metrics
  • Recurrence patterns
  • Priority recommendations

Knowledge Silo Detection

Identify components with single contributors. Manage bus factor risk proactively.

  • Single-contributor warnings
  • Ownership percentages
  • Cross-training suggestions
  • Risk prioritization

Feature Ownership Map

Know who owns what. See primary contributors and expertise areas across your codebase.

  • Ownership visualization
  • Expertise identification
  • Handoff planning
  • Team allocation insights

Trend Analysis

Track quality and velocity trends over time. Measure improvement or catch regressions early.

  • Week-over-week changes
  • Quality trajectory
  • Velocity patterns
  • Anomaly detection

At-Risk Component Alerts

Combine multiple signals to surface components needing attention before they become problems.

  • Multi-factor scoring
  • Priority ranking
  • Slack notifications
  • Action recommendations
Use Cases

Make better product decisions

Roadmap Planning

Problem

Planning without understanding where technical debt lies or where the team is stretched thin.

Solution

Use component health scores and ownership data to inform roadmap priorities.

Quality Retrospectives

Problem

Retrospectives lack concrete data on where quality is improving or declining.

Solution

Pull trend reports showing bug concentration, time-to-fix, and severity distribution changes.

Team Planning

Problem

Don't know where to add headcount or how to balance team allocation.

Solution

Knowledge silo analysis shows where cross-training is needed and which areas are understaffed.

FAQ

Common questions

What data do you need for accurate insights?

The more PRs we analyze, the better the insights. We recommend at least 100 evaluated PRs for meaningful component health scores. Trend analysis becomes reliable after a few weeks of data.

Can I define custom components?

Yes, you define your own components (e.g., Auth, Payments, UI) with file path rules. The AI also classifies PRs intelligently when rules don't match.

How often are analytics updated?

Analytics update in real-time as PRs are evaluated. Trend calculations refresh hourly, and health scores recalculate daily.

Can I export the data?

Yes, all analytics data can be exported as CSV or JSON. API access is available for building custom dashboards.

Ready to understand your product better?

Start uncovering insights from your development data today.

Start FreeSee All Features