SYSTEM / 005
SaaS Financial Overview & Data Room
Single financial data model for MRR, ARR, movement, NRR, LTV, and health score. Date-range views and share/export for both operations and investors.

Context
What this system is
SaaS financial metrics often live in spreadsheets and multiple tools. Leadership and investors need a single view; NRR, churn, and health scores are computed manually or in silos, which does not scale as data or stakeholders grow.
Ownership
What I was responsible for
This is a self-directed system — I owned the architecture, engineering, and product decisions end to end.
Architecture · Engineering · Product
The Problem
What made it necessary
SaaS financial metrics often live in spreadsheets and multiple tools.
Architecture
How it's structured
- 01
Single financial data model with MRR, ARR, movement, NRR, LTV, and health score derived from one source of truth.
- 02
Date-range views and share/export so the same dashboard serves operations and investors without separate builds.
- 03
Charts and tables built on precomputed or incrementally updated metrics where possible to keep load times predictable.
Engineering Decisions
What shaped the system
- 01
Dashboard and charts designed for configurable ranges and many viewers without recomputing on every request.
- 02
Subscription and payment data (e.g. Stripe Connect) integrated so metrics stay current as volume grows.
Trade-offs
What was optimized for
Single data model and derived metrics required clear definitions and ownership; flexibility in ad-hoc analysis is traded for consistency.
Share/export optimized for standard views; highly custom report building is out of scope for v1.
Outcome
Precomputed or cached metrics and configurable ranges so many viewers do not recompute on every load.
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