Engineering/git analytics visibility

Severity: Optional

Track PR activity, commit patterns, and contributor metrics to understand engineering health and velocity.

Check automatically:

1. Check for dedicated git analytics tools:

# Engineering analytics platforms
grep -riE "linearb|sleuth|swarmia|gitprime|pluralsight.*flow|jellyfish|faros|haystack" . 2>/dev/null | grep -v node_modules | head -5

2. Check for custom engineering metrics:

# Custom PR/commit metrics tracking
grep -riE "pr.*metrics|commit.*metrics|cycle.time|lead.time|deployment.frequency|dora.*metrics" --include="*.ts" --include="*.js" --include="*.py" --include="*.sql" --include="*.sqlx" . 2>/dev/null | grep -v node_modules | head -10

# Engineering dashboards
grep -riE "engineering.*dashboard|developer.*metrics|team.*velocity" . 2>/dev/null | grep -v node_modules | head -5

3. Check if GitHub data exists in warehouse (from ANA-003):

# GitHub-related tables in Dataform/dbt
grep -riE "github|pull_request|commit" definitions/*.sqlx models/*.sql 2>/dev/null | head -10

If not found in code, ask user:

• "How do you track PR throughput and cycle time?"
• "Do you have visibility into who's contributing and how often?"
• "Can you answer: 'What's our average time from PR open to merge?'"

Cross-reference with:

• ANA-003 (GitHub data in warehouse enables custom analytics)
• ANA-004 (dashboards for visualizing git metrics)

Pass criteria:

• Can answer: "What's our average PR cycle time?"
• Can answer: "Who are the top contributors this month?"
• Some form of engineering metrics visibility (dedicated tool OR custom dashboard)

Fail criteria:

• No visibility into PR activity beyond GitHub's basic Insights tab
• No way to track engineering trends over time
• No answer to "how long do PRs take to merge?"

Partial (acceptable):

• Using GitHub Insights only - provides some visibility but limited customization
• Manual tracking (spreadsheet) - better than nothing but not scalable

Recommendations:

• If you have ANA-003 (GitHub → warehouse): Build custom dashboards in Metabase
• If you want turnkey: LinearB, Sleuth, or Swarmia
• DORA metrics (deployment frequency, lead time, MTTR, change failure rate) as north star

Evidence to capture:

• Tool or method used for git analytics
• Sample metrics available (cycle time, throughput, etc.)
• Dashboard URL or screenshot

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