● Human-serving Systems
Most data problems
are decision problems.
Fix 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.
Essay 07
The contracts between systems
Why integration governance, not engineering, decides whether anyone can act on what the institution knows.
Essay 06
The numbers don’t agree because the words don’t.
Why information and analytics governance lives or dies on shared definitions.
Field Note 04
The Take-Home Test
More than a dozen interview take-home tasks, done cold for a dozen organizations, read as one long experiment in how teams relate to their own decisions.
Essay 05
What is this system actually measuring?
The evaluation gap in higher education’s AI moment.
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. Stack-light, context-rich, built to be handed off. Measurement and AI for 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 — not dashboards.
- 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 data spine.
- 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.
- Align with product, ops & strategy.
- Define the next horizon — and hand off.
We don’t build dependencies. We build operating teams.
04/05
Thesis
A system is not
the dashboard.
It’s what happens after.
05/05
Proof of 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.