Goal
Provide visibility into product performance and operational health: what users search for, what they accept, and what drives cost/latency.
Who Uses This
- Operators monitoring service health and cost drivers.
- Product owners measuring autocomplete quality and adoption.
- Support/engineering diagnosing incidents (provider failures, cache regressions).
What “Done” Means (Business)
- We can answer:
- Most frequently suggested addresses.
- Most frequently accepted addresses.
- Search → acceptance conversion rate.
- Cache effectiveness (hit rate) and provider reliability.
- A dashboard UI exists to view the above metrics over time with basic filtering.
- Monitoring recommendations exist (what to alert on and why).
- Analytics failures never block core suggestion functionality.
Constraints
- Respect privacy: focus on aggregate insights, avoid user identification.
- Retention is bounded and configurable.
Out of Scope
- Full authentication/authorization for the dashboard (initially internal-only assumptions).
- Real-time streaming dashboards.
- Full external observability platform integration as a hard requirement.
Technical notes: #3 (comment)
Next Slice (Post-MVP)
Goal
Provide visibility into product performance and operational health: what users search for, what they accept, and what drives cost/latency.
Who Uses This
What “Done” Means (Business)
Constraints
Out of Scope
Technical notes: #3 (comment)
Next Slice (Post-MVP)