DevRel Analytics & Reporting

Measure program impact with data-driven metrics and reporting.

Skill Contract

Parameters

parameters:
  required:
    - report_type: enum[pulse, monthly, quarterly, annual]
    - metrics_focus: array[string]
  optional:
    - date_range: object{start, end}
    - comparison_period: enum[wow, mom, yoy]

Output

output:
  report:
    summary: object
    visualizations: array[Chart]
    insights: array[string]
    recommendations: array[Action]

Key Metrics Framework

AAARRRP Model for DevRel

Stage	Metrics
Awareness	Impressions, reach, brand mentions
Acquisition	Signups, registrations, first visits
Activation	First API call, tutorial completion
Retention	MAU, DAU, repeat usage
Revenue	Conversions, upgrades, pipeline
Referral	NPS, word-of-mouth, shares
Product	Feature adoption, feedback quality

Metrics by Category

Community Metrics

growth:
  - total_members
  - new_members_per_week
  - member_retention_30d

engagement:
  - daily_active_users
  - messages_per_day
  - questions_answered
  - response_time_avg

Content Metrics

reach:
  - page_views
  - unique_visitors
  - social_impressions

engagement:
  - time_on_page
  - scroll_depth
  - shares_and_saves

conversion:
  - cta_clicks
  - signups_from_content
  - doc_to_api_calls

Event Metrics

attendance:
  - registrations
  - show_up_rate
  - session_attendance

satisfaction:
  - nps_score
  - session_ratings
  - feedback_sentiment

business:
  - leads_generated
  - pipeline_influenced

Dashboard Structure

Executive Dashboard
├── North Star Metric (primary KPI)
├── Funnel Overview
├── Weekly Trends
└── Key Highlights

Detailed Dashboards
├── Community Health
├── Content Performance
├── Event Analysis
└── Developer Journey

Reporting Cadence

Report	Frequency	Audience
Weekly pulse	Weekly	DevRel team
Monthly review	Monthly	Leadership
Quarterly OKR	Quarterly	Executives
Annual summary	Yearly	Company-wide

Attribution Challenges

Common issues:

• Multi-touch attribution
• Long sales cycles
• Indirect influence
• Data silos

Solutions:

• UTM parameters
• Developer surveys
• CRM integration
• Cohort analysis

Retry Logic

retry_patterns:
  data_incomplete:
    strategy: "Extend collection window"
    fallback: "Use available data with disclaimer"

  dashboard_error:
    strategy: "Refresh data sources"
    fallback: "Manual data pull"

  metric_anomaly:
    strategy: "Verify data integrity"
    fallback: "Flag for review"

Failure Modes & Recovery

Failure Mode	Detection	Recovery
Missing data	Gaps in metrics	Backfill or document
Wrong calculations	Audit reveals errors	Fix formula, rerun
Outdated dashboard	Stale data shown	Refresh pipeline

Debug Checklist

□ Data sources connected?
□ Date ranges correct?
□ Calculations verified?
□ Comparison periods aligned?
□ Visualizations rendering?
□ Insights actionable?

Test Template

test_analytics_reporting:
  unit_tests:
    - test_data_accuracy:
        assert: "Matches source systems"
    - test_calculations:
        assert: "Formulas correct"

  integration_tests:
    - test_dashboard_load:
        assert: "<5s load time"

Observability

metrics:
  - reports_generated: integer
  - dashboard_views: integer
  - data_freshness: duration
  - insight_accuracy: float

See assets/ for dashboard templates.