RIVERSIDE HIGH SCHOOL · SYNTHETIC DEMONSTRATION CAMPUS

ADMINISTRATORS - BUILD THE SCHOOL YOU WANT

Uses your school’s actual public baseline to test goals and likely outcomes.

EVIDENCE & METHODSPublic baselineComparative benchmarkingScenario modeling

Choose Campus

County

District

School

1,267 California high-school records embedded

New ADA Value — Year 1 (Per School)

Attendance Recovery + First-Year Reconnection Value

Steady-State Annual ADA Value (Per School)

Assumes reconnected learners remain enrolled an average of 2 years

↗Click to enlarge

MONCREIFF’S DECISION SUPPORT LABS · EXPERIMENTAL SERIES

Set a goal. Choose a deadline. Test the path.

Use your Planning Workspace goals as end-of-period targets. Follow 2,000 synthetic students as participation and progress change over time.

v131a2 · browser-based

Ready. Set goals in Planning Workspace, run its model, then send the goals and plan here.

1 · Choose your actions

Checked actions are available to the goal search.

Use	Specific Action	Starting Invite %	Edit

Starting participation and action effects use the v131 template—not measured local tool usage.

2 · Student Behavior Settings

Choose Activity

Response Variation
Applies to all activitiesHow different students are in their willingness to respond.

Start / Respond (%)Of those invited, how many agree to try?

Follow Through (%)Of those who agree, how many complete the participation milestone?

Stop Participating
(% per semester)Chance an active participant stops over a full semester.

Return After Stopping
(% per semester)Chance a former participant accepts another try next semester.

Benefits Fade
(% per semester)How much remaining modeled benefit fades after participation ends.

Experimental assumptions—not measured response rates.

Advanced Run Settings · student turnover, effects, reproducibility, and value assumptions

Students over timeThe continuing-school model replaces each outgoing senior class before the next year.

Random SeedSame school + settings + seed reproduces the same results.

New outreach continues forAfter outreach ends, existing participants may continue or return; no first-time recruitment.

Assumed Effect Strength (%)100 = illustrative starting effects. Set 0 to test participation with no educational benefit.

Lagged behavioral interactionsPrior habits, engagement, and small peer-group effects influence later outcomes.

Attendance Value / Recovered Day ($)Illustrative gross value, not guaranteed funding or net savings.

External Reconnection Pool (% of enrollment)A separate pool—not part of the initial 2,000. No identification of real families.

Enrollment Conversion (% per semester)Among engaged Family Reconnection candidates. MAL or Cap & Seal alone earns no ADA.

Reconnected Enrollment Exit (% per semester)Separate from stopping a productivity tool. Applies after the first return semester.

Maximum Reconnected StayGraduation or early exit can shorten this. It is not an average two-year stay.

Reconnection Annual Value ($)Prorated by attended days. New returns enter halfway through their first semester.

The six behavior controls do not prove an intervention works. Effect sizes, links between behaviors, and enrollment conversion are separate assumptions. Costs of core services are not included; reconnection marketing is shown separately.

Separate from regular Decision Lab’s saved results.

Your goal. A defined horizon. An honest result.

Run the selected plan alongside the same starting school with no new intervention expansion.
Existing supports continue in both paths. Students can improve, plateau, or lose progress.

1 · SET YOUR CAMPUS GOALS

Active	Outcome	Current	District	County	State	Your Goal	Model Result	Status

Comparison note: District and county attendance are weighted high-school comparisons derived from the public school records loaded in this demo (†). Chronic Absence and district CCI use public aggregate fields. California does not publish a county-level CCI in this dataset.

STAFF CAPACITY Optional maximums apply to new intervention work. Leave blank or enter 0 for no capacity constraint.

Staff Resource	Modeled	Maximum	Status

STUDENT RECONNECTION MARKETING BUDGET

Annual planning estimate · per school

Families to Reach

550

Follows Your Est. IBOD

Mailings / Year

Direct-mail campaigns

Direct Mail

$3,300

550 × 4 × $1.50

TCL Marketing Support

$6,000

Annual associate allocation

Annual Budget

$9,300

Direct mail + TCL support

Includes four direct-mail campaigns at $1.50 per family per mailing plus a $6,000 annual allocation for TCL marketing-associate support. Actual district, postage, production, and vendor costs may vary. This budget is a planning assumption and does not change the simulation outcome formula.

2 · RECOMMENDED ACTION PLAN

Read-only. Decision Lab dynamically ranks actions, discounts overlap, and moves to the next action as useful reach is exhausted. Reconnection campaign reach scales with the modeled IBOD opportunity.

Specific Action	Current Reach	Recommended Reach	Recommended Level	Details

PLAN CHECK

PATENTS PENDING

CADATA

California Public Data · Source Verified

School identity and published baseline/benchmark fields are drawn from California Department of Education public data. Decision Lab projections remain modeled planning estimates.

OBSERVED · CDE PUBLIC DATADERIVED · LABELEDMODELED · DECISION LAB

CDECalifornia Department of EducationData & Statistics / DataQuest public reporting ATTAbsenteeism Downloadable DataChronic absence, average days absent and absence-reason files CCICollege/Career Indicator DataSchool, district and state CCI downloadable files DASHCalifornia School DashboardState accountability and continuous-improvement reporting

Provenance rule: observed public values are kept distinct from derived comparisons and from Decision Lab model outputs. A dash is shown when a comparable public field is not available rather than manufacturing a benchmark.

Total Campus LabsTotalCampusLabs.com · homeworkhabit@gmail.com

MODEL SEQUENCE

Moncreiff’s Decision Support Labs · Decision Lab

Administrator Action Report

For administrative review and decisionModeled planning scenario · Validate before implementation

WHY THIS MATTERS

1 · Modeled Outcomes

Outcome	Starting value	Your goal	Model result	Plan status

2 · Why This Plan

3 · Recommended Action Plan

A plan to validate—not a claim about existing program use. Starting participation counts below are demonstration assumptions, not verified usage at this school. A district review would replace them with actual operating data.

Priority	Recommended action	Suggested owner	Modeled starting reach → Recommended reach	Goal support

Reach means people or service units—not hours or dollars. Counts can overlap across actions. Confirm eligibility, actual starting participation and ownership locally.

Weekly intervention estimates exclude setup time and full program costs. Confirm actual staffing and operating duration before launch.

4 · Implementation Snapshot

Prepare

Confirm the scenario, accountable owners, eligible lists, launch date and review schedule.

Launch

Review

Check delivery weekly and early response around Week 4; continue, revise or stop at the agreed cycle-end review.

Use IMPLEMENT PLAN for detailed operating instructions. Record meeting decisions on the following sheets.

Take this scenario to a District Review. Bring the question this report raises; together, we can identify local data, implementation choices and the next decision.

homeworkhabit@gmail.com · DecisionSupportLabs.com · (619) 252-6560

5 · Evidence, Sources & Assumptions

Official school data establishes the starting context. Research informs model development. Neither is a guarantee that a particular intervention will produce the modeled improvement at this school.

Source used	Reporting period	Role in this report

Observed: published aggregate CDE fields where available—not individual student records.

Derived: Average Attendance uses reported average days absent and a 180-day calendar. It is not a published CDE attendance-rate field.

Modeled: starting participation, engagement, response, overlap, workload and projected outcomes; verify locally.

What must be checked locally

Source references
CDE Census Day Enrollment · cde.ca.gov/ds/ad/filesenrcensus.asp
CDE Absenteeism Data · cde.ca.gov/ds/ad/chronicdata.asp
CDE College/Career Indicator · cde.ca.gov/ta/ac/cm/ccidatafiles.asp
NCES ELS:2002 · nces.ed.gov/surveys/els2002/

Decision Lab is not a CDE, IES or NCES product or endorsement. Source authority does not validate every model assumption.

6 · Decision Record — Decisions & Changes

Use this sheet during the meeting. Record the direction, which actions the team accepts, and what must change. Revise or Hold changes the proposed plan: rerun it before treating the original results as the revised projection.

Meeting date: Meeting lead:

A · Meeting decision — select one

Proceed to validationProceed with modifications Compare another scenario firstHold — more information needed Do not proceed

Decision / direction:

B · Actions — accept, revise or hold

Reach is modeled starting → recommended, not verified current participation. Mark one disposition per action and name the accountable owner. Full unit definitions appear in Section 3.

Action	Modeled reach	Accept	Revise	Hold	Named owner	Launch / target date

C · Changes requested before the next run

Record changes to targets, staff limits, IBOD, response assumptions or action reach. Not every assumption is editable in the public demo.

Item to change	Value / assumption in this run	Proposed change	Owner / due date

7 · Decision Record — Validation & Follow-Through

D · Evidence to validate — assign each needed check

Check	Assumption / evidence to confirm	Owner	Due date

E · District context — District Summary prints separately

Summary reviewedSummary attachedMore schools / scenarios to review

Schools / questions:

F · Follow-up commitments

Next step / required output	Owner	Due date	Done

Decision owner: Next review date:

Handwritten decisions do not update the model or certify funding. Compare actual delivery with this scenario before the next major decision.

ADMINISTRATORS - BUILD THE SCHOOL YOU WANT

Set a goal. Choose a deadline. Test the path.

1 · Choose your actions

2 · Student Behavior Settings

Your goal. A defined horizon. An honest result.

Semester-by-semester paths

Compare two experimental plans

Modeled → Actual → Difference → What We Learned

Choose Your Campus

Run your scenario before printing

Administrator Action Report

1 · Modeled Outcomes

2 · Why This Plan

3 · Recommended Action Plan

4 · Implementation Snapshot

Prepare

Launch

Review

5 · Evidence, Sources & Assumptions

What must be checked locally

6 · Decision Record — Decisions & Changes

A · Meeting decision — select one

B · Actions — accept, revise or hold

C · Changes requested before the next run

7 · Decision Record — Validation & Follow-Through

D · Evidence to validate — assign each needed check

E · District context — District Summary prints separately

F · Follow-up commitments

District Summary