This domain currently relies on multiple manual reporting paths across {{system_a}} and {{system_b}}, creating conflicting metric definitions and delayed decision cycles. The goal of this PRD is to define the source-of-truth model, ingestion pathway, and phased rollout plan so analytics can move from manual reconciliation to reliable self-serve reporting.
Stakeholders and SMEs
Name
Role
Discovery status
Notes
Sample text
{{champion_name}} owns business prioritization and confirms report-up framing.
{{sme_name}} owns operational reporting and validates source system behavior.
{{bf_engineer_name}} owns ingestion feasibility and delivery sequencing.
Sources inventory
Source system
Path / access
Freshness expectation
Risks
Sample text
Primary sources are {{source_a}} (transactional baseline) and {{source_b}} (manual adjustment layer). API coverage is sufficient for daily ingestion in {{source_a}}, but {{source_b}} currently requires file-based extraction, introducing timing and schema drift risk.
Reports and artifacts
Report / artifact
Owner
Manual vs automated
Links to metric definitions
Sample text
The team currently uses {{report_name}} for weekly performance and {{report_name_2}} for exception handling. Both reports are business-critical, but only one has a stable extraction path today.
Metrics catalog
Metric
Definition
Grain
Status
Notes
draft / signed
Sample text
{{metric_name}}: defined as {{definition}} at {{grain}}; currently reconciled manually.
{{metric_name_2}}: defined as {{definition}}; blocked on {{dependency}} before sign-off.
Open questions
Sample text
Should {{object_type}} flow into {{erp_system}} first, or land in warehouse first with reverse sync?
Which metrics require parity with legacy reports before stakeholder rollout?
Risks and constraints
Sample text
Manual file extraction from {{source_b}} may delay metric freshness beyond agreed SLA.
Metric definitions are inconsistent across teams; early sign-off is required to avoid rework.
Phased delivery plan
Wave 1
Outcomes:
Dependencies:
Target window:
Wave 2
Sample text
Wave 1: establish source parity for core KPI set and publish internal QA dashboard.
Wave 2: automate exception reporting and finalize executive-facing metric set.