Predictive Analytics for K-12

Redraw a boundary. Watch the outcomes move.

Paisley models how a single zone change ripples across student performance, socioeconomic balance, staffing, and 6-year outcomes — so districts can test decisions before they make them.

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Live Scenario · Lincoln High Zone Boundary v3
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Projected impact
Avg. test score71.2+0.0
Socioeconomic balance0.62+0.00
Staffing need (FTE)+4+0
6-year outcome index68.0+0.0
Drag the handle to pull the northeast neighborhood into Lincoln's zone →
Start With Your Reality

Every district is on one of two paths. Which is yours?

The pressures of a growing district are the opposite of a shrinking one — and so are the moves that help. Paisley models both.

Growing fast, building slow.

Enrollment is outrunning capacity, and new buildings cost tens of millions. Paisley helps you absorb growth through programs and choice — not just concrete.

Capacity pressure

Grow without building

Design choice and occupational programs that redistribute demand across existing seats, easing the need for new schools.

With program redesignBuild-only path
~$18M in deferred capital, modeled
Projected scenario, not a guarantee
Economic mobility

Place CTE where it lifts most

Model where to add occupational pathways to maximize reach — and project the effect on neighborhood income over 3, 5, and 10 years.

Yr 3 · Yr 4 · Yr 5 · Yr 7 · Yr 10 — modeled income index
+11% projected income index by Yr 10
Projected scenario, not a guarantee
Underperformance

Lift the schools that lag

Identify which boundary and program changes raise outcomes at underperforming schools without harming neighbors.

Modeled proficiency trajectory
+6.4 pts proficiency, modeled over 3 yrs
Projected scenario, not a guarantee

Fewer students, fixed costs.

Declining enrollment leaves half-empty buildings draining utilities and maintenance. Paisley helps you consolidate humanely — and give families a reason to stay.

Consolidation

Close schools families opt out of

Let parents self-select programs and choices that naturally concentrate enrollment — so consolidation follows demand instead of fighting it.

Modeled facilities cost after consolidation
~$2.4M/yr reclaimed utilities & upkeep
Projected scenario, not a guarantee
Local economy

Feed local industry

Stand up occupational programs aligned to nearby manufacturers and businesses — changing the district's economic outlook and retention.

Modeled local job-placement rate
+240 projected local placements/yr
Projected scenario, not a guarantee
Retention

Stop the enrollment bleed

Pinpoint which programs keep families from leaving for charters or neighboring districts, and where to place them.

With PaisleyStatus quo
-38% modeled enrollment loss avoided
Projected scenario, not a guarantee
The Simulation Engine

Move a boundary. See four futures at once.

Every boundary change is a tradeoff. Paisley puts all of them on the same screen — so the question stops being "what will happen?" and becomes "which tradeoff do we choose?"

Student performance

Projected proficiency before vs. after the boundary change

Modeled (after)Current trajectory

Socioeconomic balance

Even distribution across schools improves as the zone is rebalanced

before after
Tighter, more even bars = better balance

Hiring & staffing

Projected FTE need by role under the new boundary

TeachersSupportSpecialistsAdmin
Plan recruitment against modeled demand, not guesswork

6-year outcomes

Graduation, postsecondary, and earnings index, projected forward

Yr1Yr3Yr5Yr6
Modeled cumulative outcome index
No Zone Is An Island

Change one boundary, and every neighbor moves too.

Most planning tools look at one school in isolation. Paisley shows the whole map at once — when you pull a neighborhood into one zone, you see exactly how all the bordering zones are affected, in the same view.

That's how you avoid solving one school's problem by quietly creating another's.

Border-zone ripple · proficiency Δ
Lincoln
+6.4
Eastside
+2.1
Westbrook
−0.3
Northgate
−2.6
Riverside
+1.4
Modeled effect of the Lincoln boundary change on adjacent zones
Privacy by Architecture

Powerful analytics that never need a student's exact address.

Paisley is built so the riskiest data simply never enters the system. Rather than storing where a student lives, we resolve each location into zone memberships the moment data arrives — then discard the precise point entirely.

Every analysis runs on cluster membership, not coordinates, with privacy thresholds enforced on the combination of zones. Stronger privacy and sharper planning, pointing the same direction.

School attendance zonesChoice zones CTE / occupational zonesCensus geographies Transportation zonesPublic-safety districts
1
Assign at ingestionA location is matched to its set of zones — one time, on the way in.
2
Discard the pointThe exact coordinate is dropped. What remains is membership: "Zone 4, Choice B, CTE Health Sciences."
3
Validate the combinationZone tuples are checked against privacy thresholds so no overlap can re-identify anyone.
4
Model safelyEach boundary scenario is versioned and independently meets the privacy floor.
Ready when you are


Test your hardest decision before you have to make it.

Book a walkthrough of the live platform — and a first look at the predictive engine before it's released.

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