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K-12 data platform
K-12 AI and data analytics

Put district data and AI on the same foundation

Doowii connects approved district systems, governance, analytics, reporting, and AI on one managed K-12 platform. Teams can begin with one priority, then expand without creating another data silo.

A representative K-12 analytics workflow connecting district data to a governed result

District workflow

Approved users

Where is chronic absenteeism changing, and what should an authorized team review?

Connected context

Attendance, enrollment, calendar, school, grade, and approved support data

District meaning

Local attendance rules, periods, groups, definitions, and permissions

Reviewable result

Trend, contributing records, methodology, source, and refresh context

One managed platform

Connections, governance, analytics, reporting, and AI

Direct answer

What is a K-12 AI and data analytics platform?

A K-12 AI and data analytics platform connects approved district data, applies shared definitions and role-based access, and supports questions, reports, monitored indicators, and predictive analysis from the same governed foundation.

The practical goal is not to let AI decide what a number means or what should happen to a student. It is to help authorized teams investigate a district-defined question, inspect the data and methodology behind the result, and apply professional judgment through the district's established workflow.

Doowii is the managed data platform beneath the workflow, not another dashboard or AI point solution.

Independent context

District workflows

One data foundation behind the work district teams own

Each workflow begins with different sources and people, but the connected identities, definitions, permissions, and review practices should be reusable across the district.

Attendance and chronic absenteeism

Bring daily attendance, enrollment, calendar, school, grade, and approved support context together. District teams can review patterns early while keeping the local attendance rules, time period, and contributing records visible.

“Where is chronic absenteeism changing by school and grade, and which students warrant authorized review?”

Early warning and MTSS review

Connect approved attendance, course performance, behavior, assessment, intervention, and support-touchpoint data. Indicators can prompt closer review without turning a score into a diagnosis or automated intervention.

“Which students meet our district's review criteria, and which contributing signals should the team examine?”

District and board reporting

Build recurring views from shared definitions so district leaders, schools, and the board can work from the same governed measures. Keep source, refresh, methodology, and approval steps attached to the report.

“What changed since the last board report, and which source or definition explains the movement?”

Program and resource analysis

Combine approved participation, staffing, finance, service, and outcome context to investigate how programs operate across schools. Descriptive patterns can guide follow-up, but they do not establish that a program caused an outcome.

“How do participation and outcomes vary across schools, programs, and approved student groups?”

Managed end to end

From a district priority to a working analytics workflow

Doowii manages the data and analytics platform while district stakeholders retain control of purpose, definitions, access, validation, interpretation, and response.

  1. 01

    Start with a district decision

    Define the question, workflow owner, authorized users, decision it may inform, and the evidence required for review.

  2. 02

    Connect the approved data

    Bring the required SIS, LMS, assessment, ERP, CRM, intervention, and local sources into a consistent district model.

  3. 03

    Apply district meaning and access

    Configure calendars, cohorts, schools, programs, metrics, permissions, quality checks, and refresh expectations around local policy and practice.

  4. 04

    Deliver a reviewable workflow

    Use natural-language analysis, recurring reports, shared pinboards, monitored indicators, or predictive analysis with methodology and source context available to authorized reviewers.

Buyer checklist

Questions to ask before adding AI to district data

Evaluate the full operating model. A strong demo should lead to concrete answers about data, governance, review, maintenance, and the people responsible after launch.

  • Can the platform work across our SIS, LMS, assessment, ERP, CRM, intervention, and local data?

  • Where are district definitions, permissions, data quality rules, and lineage applied?

  • Can authorized users inspect the sources, methodology, assumptions, and contributing factors behind a result?

  • Can one priority launch first without creating another isolated data product?

  • Who maintains connections, models, definitions, and workflows as source systems and district needs change?

  • How are access, validation, human review, and consequential decisions kept under district control?

35 of 39

Campuses with active users

Customer evidence

One governed view across a national school network

The Cristo Rey Network case study describes Corporate Work Study teams using Doowii across student placements, timecards, employer relationships, school comparisons, and reusable reporting. In the first two months, the study reported 98 active users, 1,100 questions across 338 sessions, and active users at 35 of 39 campuses.

These are reported early usage and operational metrics. The case study does not establish a causal effect on student academic outcomes.

Frequently asked questions

K-12 AI and data analytics questions

What is a K-12 AI and data analytics platform?

A K-12 AI and data analytics platform connects approved district data, applies shared definitions and permissions, and supports analysis, reporting, monitored indicators, and AI workflows from the same governed foundation. It should help authorized teams review district questions without replacing human judgment or local policy.

How is Doowii different from a K-12 dashboard?

A dashboard presents a defined view. Doowii is the managed platform beneath dashboards and other workflows. It connects and models approved district data, applies governance, and supports natural-language questions, recurring reports, pinboards, monitored indicators, and predictive analysis on the same foundation.

Which school district systems can support these workflows?

Depending on the approved use case, sources can include SIS, LMS, assessment, ERP, CRM, intervention, attendance, finance, HR, and district-specific files or applications. The connection method and available history depend on each source, contract, API or export, credentials, permissions, and data quality.

Can Doowii support chronic absenteeism and MTSS workflows?

Yes. Doowii can connect approved attendance, enrollment, calendar, academic, behavior, assessment, intervention, and support-touchpoint data for district-defined chronic absenteeism or MTSS review. District teams retain control of thresholds, access, validation, and response.

Does Doowii automatically decide which students need an intervention?

No. Doowii can surface institution-defined indicators or patterns for authorized review. A flag does not diagnose a cause, determine an intervention, or replace the judgment of educators and district support teams.

How should a district evaluate AI analytics for student data?

Evaluate the complete operating model, not only the AI interface. Review approved purpose, source data, definitions, identity matching, permissions, security, privacy, data quality, methodology, validation, human roles, monitoring, and how the vendor maintains the platform as systems and requirements change.

See it in your district context

Bring one K-12 data and AI priority

We will map the decision, teams, systems, definitions, access, validation, and workflow it requires, then show how it can run on one managed district data platform.