Domain PRD / build - {{client}} - {{domain_or_initiative}}

Doc meta

FieldValue
Client{{client}}
Domain / initiative{{domain_or_initiative}}
Layer1
Owner{{bf_engineering_owner}}
Linked Doc 2{{url_champion_synthesis}}
Linked Doc 3{{url_vp_memo}}
Linked Doc 4{{url_deck_prep}}
Linked Doc 5{{url_slides}}
Last reviewed{{date}}

Context / scope

{{problem_statement_and_boundaries}}

Sample text (style and substance)

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

NameRoleDiscovery statusNotes

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 systemPath / accessFreshness expectationRisks

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 / artifactOwnerManual vs automatedLinks 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

MetricDefinitionGrainStatusNotes
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

  1. Should {{object_type}} flow into {{erp_system}} first, or land in warehouse first with reverse sync?
  2. 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.

Engineering references

  • Linear / tickets: {{links}}
  • Models / repos: {{links}}