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Case Study · Charter School Authorizer

Performance analysis an authorizer
can defend.

The client is a university charter school authorizer overseeing a large portfolio of public charter schools. We built the growth and achievement analysis its accountability work depends on, from the assessment platforms its schools already use and from public statewide data, in a form a board, a field team, and a school leader can all read, and the authorizer's staff keep it current.

Four questions the authorizer can now answer
Are students growing academically?
Growth and achievement by school, subgroup, and cohort, across the portfolio
Do the board and the field see the same number?
One set of definitions, so the same question gets the same answer
What changed since last year?
New releases land in the same tables, refreshed rather than rebuilt
Where did this figure come from?
Every finding traces to its source, because findings get challenged

The situation

An authorizer's job is to make defensible judgments about school performance. Those judgments rest on growth and achievement data that arrives from several places in several shapes: exports from the assessment platforms the schools use, and the public files the state publishes on achievement, enrollment, and accountability. Each source has its own identifiers, its own cut points, and its own calendar, and all of it has to be reconciled before anyone can ask a question of it.

The authorizer had the data and the expertise. What it did not have was the capacity to turn a question from a board member or a field team into an answer the same week, every week, without pulling a senior analyst off everything else.

The analysis

We built the growth and achievement analysis the authorizer now uses across its portfolio: growth measures that hold up under scrutiny, achievement comparisons by school, subgroup, and cohort, and reporting that puts both in front of a board and a school leader without translation. Every finding traces back to its source, because performance findings get challenged, and the answer to "where did this number come from" has to be immediate.

The sources are the ones most authorizers already have and rarely combine well. The work is in reconciling them to one set of definitions, so the same question gets the same answer regardless of who asks it.

Keeping it current

Once the analysis was in place, we made it repeatable. New assessment exports and new statewide releases land in one governed set of tables with the same definitions, refreshed as they arrive rather than rebuilt by hand each year. The authorizer's staff run the reporting themselves, and we provide maintenance support as sources and state files change.

What comes next

The authorizer is now looking at AI-assisted analysis on top of this foundation: a small staff answering more questions faster, without weakening the defensibility that authorizing requires. That is the order we recommend to every authorizer and charter network: get the performance analysis right first, then add the parts of AI that pay.

What an authorizer or network can take from this

If your performance analysis depends on files that arrive on different calendars and one person who knows how to reconcile them, the risk is not that you lack data. It is that the capacity to use it lives in one chair. Our AI Readiness Assessment is the three-week way to find out what it would take to change that in your office.

Solomon Research & Analytics have been very responsive to our needs. Bill and Joe are very knowledgeable and helped us analyze academic growth and achievement data in ways that we would not have otherwise had the capacity to do. You can pose a data-related question, and they can quickly provide the answer in an organized and understandable format.

MI
Client leader
University charter school authorizer

Start where this client started: a three-week AI Readiness Assessment.

Fixed fee of $7,500. You get the inventory, the governance gap list, three ranked opportunities, and a 90-day roadmap. Data and AI for charter schools →

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