When a survey cycle closes, an integrated Anthropic Claude panel reads every response and writes the summary your district leadership needs: executive summary, strengths, areas of concern, and prioritized recommendations, in plain language.
When each survey cycle completes, the analysis job gathers final scores, gaps, and open-response themes across the district. The model receives suppressed, anonymized aggregates only—never raw responses, never student names. It writes the summary; you bring the judgment.
The model receives only suppressed, anonymized score aggregates. Survey respondent PII is never stored alongside response data for full anonymity and privacy assurance.
Survey tokens are one-way hashed. There is no database column joining a student's name to their answers.
The AI job runs once per cycle when it closes. There's no live model connection to the response database.
Start with a single campus cycle. We handle the instruments, the languages, the privacy floor, and the cycle summary.