Metrics

PRD-aligned metric taxonomy plus the explicit MVP fraud metrics selected for the demo.

Owner
Analytics + Risk Operations
Status
Active monitoring
Last updated
2026-03-15

Key points

  • The category list mirrors sections 1-6 in `docs/project/prd-metrics.md` directly.
  • Fraud demo scope is the exact Section 7 MVP shortlist of eight cards.
  • This page now avoids placeholder sample metrics and shows canonical taxonomy only.
  • AI, deterministic, and anomaly fraud buckets are represented in the selected set.

PRD metric categories (Sections 1-6)

PRD sectionCategoryWhat it covers
1Dashboard PrinciplesDisplay and interpretation rules for metric cards in demo mode.
2Traditional Engagement MetricsReturn behavior, meaningful actions, journey completion, and friction timing.
3Philanthropy Health MetricsDonation quality, cause loyalty, organizer transparency, and community cohesion.
4Fraud Metrics: AI-EnabledSemantic and language-model driven risk indicators.
5Fraud Metrics: Deterministic Risk Factors (Known Patterns)Rule-based signals tied to known historical fraud behaviors.
6Fraud Metrics: Anomaly Detection (Novel Patterns)Behavioral outlier detection for previously unseen abuse shapes.

Section 7 MVP fraud metrics for demo

CodeMetricBucketWhy included in demo
A1Funnel Shape Anomalyanomaly_fraudCatches novel conversion manipulation patterns.
AI1Narrative Drift Scoreai_fraudHighlights post-launch intent shifts in campaign story evolution.
AI5Cross-Campaign Similarity Cluster Scoreai_fraudDetects scam-template reuse across unrelated accounts.
D9Creator-Campaign Geo Consistency Ruledeterministic_fraudFlags organizer, campaign, and payout location inconsistencies.
A9News-Event Correlation Anomalyanomaly_fraudTargets event/disaster opportunism patterns.
D2Payout Destination Volatilitydeterministic_fraudStrong abuse signal when payout details change near spikes.
D5Circular Donation Ruledeterministic_fraudFinds coordinated rings and reputation laundering behavior.
A6Edit-Then-Spike Sequence Anomalyanomaly_fraudCaptures suspicious edit-plus-donation burst sequences.

Risk and mitigation

  • Risk: category drift from PRD. Mitigation: categories map 1:1 to PRD sections 1-6.
  • Risk: demo metric sprawl. Mitigation: Section 7 shortlist locks fraud scope to 8 cards.
  • Risk: bucket imbalance. Mitigation: selected cards span AI, deterministic, and anomaly types.