FLIK Strategy & Roadmap

INT-30-Product-Monitoring

2 min read

đź“„ Initiative Spec: INT-30 Product Monitoring & Ops Dashboard

Status: 🔵 Active (Definition Stage) Owner: azmi Strategic Intent: Guarantee platform reliability and merchant trust through real-time observability of critical funnels.

1. The “Why” (Strategic Context)

  • The Problem: We currently rely on reactive feedback (merchant complaints) for system failures. A single minute of downtime or checkout failure directly destroys GMV and merchant trust.
  • The Goal: Move to a Proactive Ops model where the team is notified of an issue before the merchant notices.
  • Target Metric: Mean Time to Detect (MTTD) < 5 minutes for critical errors.

2. The “What” (Solution Components)

2.1 Critical Product Funnels (The Heartbeat)

  • Checkout Success Rate: Real-time monitoring of successful vs. failed 1-click checkout attempts.
  • QR Payment Health:
    • Generation Latency: Time taken to generate a dynamic QRIS code.
    • Scan-to-Pay Conversion: Monitoring for high drop-offs between “Scan” and “Payment Success”.
    • Recollection Bypass Detection: Alerting when an MCA merchant’s daily QR volume drops significantly below their historical baseline (e.g., >50% drop vs 7-day average), indicating potential revenue diversion.
  • Core API Availability: Uptime monitoring for the primary transaction engine.

2.2 Notification & Dashboarding

  • Slack Ops Channel: Real-time alerts for “Critical Failures” (e.g., 5 consecutive checkout errors).
  • Internal Ops Dashboard: A centralized screen in the office/internal portal showing:
    • Current Live GMV (hourly).
    • Checkout Success Rate (last 24h).
    • System Health Status (Red/Green).

3. Implementation Phases

Phase 1: Critical Slack Alerts

  1. Checkout Error Webhook: Trigger Slack notification when checkout error rate exceeds 5% in a 10-minute window.
  2. Availability Heartbeat: Simple monitor to check if the main site/API is responding.

Phase 2: Internal Ops Dashboard

  1. Metric Aggregation: Building the data pipeline to show hourly GMV and conversion rates.
  2. Merchant Health View: A dashboard showing which merchants are seeing higher-than-average abandonment rates.

4. Key Metrics (ROI)

  • Uptime: 99.9% for core checkout flows.
  • Time to Resolve: Reduced via immediate Slack alerting.

5. Action Items

  • Define the “Critical Thresholds” for Slack alerts (e.g., 500 errors = P1).
  • Connect internal logs to a Slack Webhook.
  • Draft the UI/UX for the Internal Ops Dashboard.

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