Data analysis and decision support
Instructional Data Audit
A focused review of the data a school or district already has, the questions leaders are trying to answer, and the gaps that keep those data from becoming useful decisions.
What this helps solve
A focused consulting engagement that turns scattered needs, tools, data, or workflows into a clearer system schools can test, refine, and use.
Engagement workflow
Start with the real problem, then build the support around it.
Clarify the decision
Start with the questions the school is trying to answer instead of beginning with the dashboard or spreadsheet.
Map available evidence
Review assessment, attendance, gradebook, survey, intervention, and local workflow data for usefulness and limitations.
Clean and align
Identify format issues, missingness, inconsistent labels, timing gaps, and places where data sources do not connect.
Turn analysis into use
Recommend reporting views, meeting routines, and pilot questions that help teams act on what the data shows.
What the work should produce
The goal is not another static report. The goal is a usable decision process: clearer priorities, cleaner evidence, practical workflows, and next steps that match the capacity of the school or district.
Common outcomes
Source material
Built from the services, writing, and prototypes already in progress.
Systems problem, not data shortage
Supported by the local blog draft arguing that schools often have too much disconnected data and too few systems for using it well.
Student data analysis prototype
Backed by local student analysis work that combines assessment and school data into reports rather than treating each export separately.
Instructional workflow examples
Connects to the existing service-page example where planning, assessment, student tracking, and follow-up analysis become one improvement cycle.
Best starting point
Most engagements should start small: one clear problem, one limited data or workflow scope, one set of users, and a short review cycle. That creates enough evidence to decide what should be refined, stopped, or expanded.
Possible deliverables
Next step
Build a small, evidence-based version first.
A focused first phase can clarify the problem, test the workflow, and show whether the support is useful before a larger rollout.