5a84473213
Replace hardcoded Keboola-specific metrics card in Data Catalog with dynamic Jinja template that renders whatever metric YAMLs exist in docs/metrics/. Add 10 sample e-commerce metric definitions across 4 categories (revenue, customers, marketing, support) that align with the sample data generator tables. Key changes: - MetricParser: new category colors + dynamic sql_* field discovery - _load_metrics_data(): scans docs/metrics/*/*.yml with prod fallback - catalog.html: 240 lines hardcoded HTML -> 35 lines Jinja loop - metric_modal.js: regex-based category class removal, new categories - 21 tests validating YAML schema, parser, and loader
46 lines
1.5 KiB
YAML
46 lines
1.5 KiB
YAML
- name: satisfaction_score
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display_name: Customer Satisfaction Score
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category: support
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type: average
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unit: score (1-5)
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grain: monthly
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time_column: created_at
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table: support_tickets
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expression: "AVG(satisfaction_score)"
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description: "Average customer satisfaction rating on a 1-5 scale collected after ticket resolution. Measures customer perception of support quality and identifies areas for improvement."
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dimensions:
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- priority
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- category
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- agent
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- resolution_type
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notes:
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- "Score is collected via post-resolution survey email"
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- "Response rate is typically 25-35% of resolved tickets"
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- "Score of 4+ is considered 'satisfied', below 3 is 'unsatisfied'"
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- "Only tickets with a satisfaction response are included"
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synonyms:
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- csat
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- customer_satisfaction
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- satisfaction_rating
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sql: |
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SELECT
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DATE_TRUNC('month', created_at) AS month,
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ROUND(AVG(satisfaction_score), 2) AS avg_satisfaction,
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COUNT(*) AS responses,
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ROUND(
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COUNT(CASE WHEN satisfaction_score >= 4 THEN 1 END) * 100.0
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/ COUNT(*), 1
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) AS pct_satisfied
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FROM support_tickets
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WHERE satisfaction_score IS NOT NULL
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GROUP BY 1
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ORDER BY 1
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sql_by_category: |
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SELECT
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category,
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ROUND(AVG(satisfaction_score), 2) AS avg_satisfaction,
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COUNT(*) AS responses
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FROM support_tickets
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WHERE satisfaction_score IS NOT NULL
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GROUP BY 1
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ORDER BY 2 DESC
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