Survey design and workflow analysis
Teacher Workflow & Data Use Survey
A survey and analysis process that helps schools understand where teachers spend time, where data use breaks down, and which support systems would actually help.
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.
Design the survey
Build short, targeted questions around time burden, data use, workflow pain points, AI readiness, and support needs.
Clean the responses
Standardize response formats, protect privacy, preserve useful comments, and create analysis-ready tables.
Analyze patterns
Combine numeric summaries, rankings, segment comparisons, and qualitative themes to identify practical priorities.
Recommend action
Translate the findings into a small set of pilots, templates, supports, or professional learning next steps.
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.
Teacher AI workflow survey
Local survey analysis identified assignments, planning, grading, differentiation, data, and communication as workflow burden areas.
PD survey cleaning pipeline
Existing survey-cleaning work includes anonymous IDs, analysis-friendly columns, numeric summaries, tidy outputs, and codebooks.
Workflow blog support
The local workflow blog drafts frame the core idea: tools only help when they fit the actual school-day workflow.
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.