● Human-serving Systems
Most data problems
are decision problems.
Design the system.
Dashboards show signal. Decisions require systems.
01/05
Architecture
The decision system, in motion.
DECISION FLOW
● LIVE
● LIVE
Action feeds the next signal · Learning loop
02/05
Library
Notes from the
decision system.
Field Note 10
The absorbed data role.
Where data work goes when no role owns it.
Essay 12
When the stakes are the mission.
The evaluation gap in mission-driven AI adoption.
Field Note 09
We used to settle for thumbnails.
The compression institutions ran on for centuries is finally cheap to relax. That’s not a technology story. It’s a decision-architecture question.
Essay 11
Who writes the contract.
Why the role the institution needs is the one the hiring rubric can’t see.
03/05
The 90·90·90 operating arc
Signal, system, scale.
Three ninety-day phases.
How a decision-system intervention takes shape over 270 days — boardroom to frontline. Measurement and AI bring rigor and speed at every step.
→ 01
Deliver signal
PHASE_01 · DAYS 0–90
- Find the bottleneck that actually moves the number.
- Ship decision-ready outputs that leadership can act on.
- Build trust quickly with the operating team.
→ 02
Build the system
PHASE_02 · DAYS 90–180
- Define metrics, owners, and the cadence around them.
- Establish reporting flows and the integration layer.
- Create the operating rhythms decisions live inside.
→ 03
Scale & extend
PHASE_03 · DAYS 180–270
- Turn early wins into repeatable playbooks.
- Develop the talent that will own it — frontline through leadership.
- Define the next horizon, then hand off.
Build teams that own the work after handoff.
04/05
Thesis
A system is not
the dashboard.
It’s what happens after.
Latest field note
05/05
The work
The same systems move.
Different work.
360 Views
Student 360, Patient 360, Institutional 360 — scattered signals fused into the one decision-grade view.
Channel & Conversion
Channel attribution, lead scoring, geo analysis, and yield modeling — wherever marketing dollars meet enrollment, advancement, or revenue.
Operations
Attendance, caseload, billing, capacity, hardware, and talent — operating signals across multi-site, brick-and-mortar, and online.
Measurement & Impact
Baseline/post reporting, longitudinal program evaluation, domain KPIs, survey pipelines, executive narratives, and state/federal/accreditation compliance reporting.
Target Funding
Public & proprietary datasets shaped into grant strategy, opportunity sizing, and proposal-to-award rhythms.