About Us
Executive KPI suite aligns teams
An SMB built ARR/MRR/CAC/LTV dashboards with anomaly alerts; decisions sped up and teams aligned on north‑star metrics.
Objectives & KPIs
- Unify key metrics across teams.
- Detect anomalies proactively.
- Provide concise executive summaries.
1 SoT
Unified metrics
Daily
Anomaly scans
↑ Speed
Decision velocity
Weekly
Exec briefs
Solution architecture
Pipelines model revenue metrics, publish dashboards, and push alerts and weekly summaries.
ETL → dbt models Semantic layer → Metrics Dashboards → ARR/MRR/CAC/LTV Alerts → Email/SMS/Slack
We applied prompt guardrails, PII filtering, and rate limits. Clear escalation and analytics were embedded from day one.
Key integrations
- Data warehouse (BigQuery)
- dbt
- Looker Studio/Superset
- Alerting channels
Channels
- Exec dashboard
- Finance view
- Growth view
Implementation
1) Discover
Goals, KPIs, data sources; success criteria and analytics events.
4) Launch
Pilot, QA, calibration; gradual rollout with dashboards.
2) Design
Flows, prompts & guardrails, UX, privacy filters, integration plan.
5) Handover
Docs, runbooks, enablement, and iteration roadmap.
3) Build
Connect data, implement logic, tag analytics, harden security.
Results & evidence
- Shared definitions reduced debates:
- Faster decisions on campaigns:
- Early detection of churn spikes:
- Better board reporting:
Significance verified via standard tests; GA4/BI dashboards tracked lift and seasonality.
Testimonial
“Everyone finally spoke the same metric language.”
— Client stakeholder
Governance & security
- Least‑privilege access and environment isolation.
- PII filters; no training on raw logs.
- Transparent citations or decision trails.
- Audit trail for changes and rollbacks.
Runbooks
Operational SOPs for updates, incident response, and periodic reviews.
Lessons learned
- Document metric definitions
- Version the semantic layer
- Automate weekly briefs
Next steps
- Add forecast models
- Drill‑downs by cohort
- Mobile dashboard