Sla Tracking

Use to design measurement, alerting, and reporting for MQL→SQL SLAs.

Published by @gtmagents·0 agent reads / 30d·0 saves·

SLA Tracking System Skill

When to Use

  • Establishing or revisiting SLA metrics between marketing, SDR, and sales pods.
  • Building dashboards/alerts for pipeline speed and follow-up compliance.
  • Running retrospectives after SLA breaches or pipeline delays.

Framework

  1. Definitions – clarify timestamps (MQL, SAL, SQL), owner transitions, and acceptance criteria.
  2. Targets – set response + acceptance SLAs per segment, region, or channel.
  3. Measurement – configure data pipelines pulling MAP + CRM events, dedupe logic, and exclusions.
  4. Alerting – thresholds, notification channels, severity levels, and on-call rotation.
  5. Review Cadence – weekly dashboards, monthly retros, quarterly recalibration.

Templates

  • SLA scorecard (segment → target → actual → variance → owner).
  • Alert playbook with trigger conditions and escalation steps.
  • Retro template capturing root cause, fixes, and follow-up experiments.

Tips

  • Anchor SLAs to revenue impact (pipeline $) to drive accountability.
  • Include qualitative context (reason codes) to separate data gaps vs true SLA misses.
  • Pair with routing-logic updates when volume spikes create bottlenecks.

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