What It Does
Driver Analysis (Tier 2) builds directly on your Index data to explain the “why” behind your scores. After each Index survey, staff and parents are prompted with six open-ended questions, each tied to the survey’s core domains, plus an additional question aligned to Net Promoter Score (NPS). Responses are processed through an AI-moderated engine that instantly summarizes feedback and maps it to a proprietary taxonomy of attrition drivers. The result: a clear, structured understanding of what’s causing risk or growth in your system—delivered automatically in the Ahart Portal, with no manual analysis, scheduling, or added burden.
How It Works
After completing the Staff and Parent Indexes, respondents are prompted to answer six open-ended questions, each aligned to the six research-based domains measured in the survey. They also respond to a seventh prompt tied to Net Promoter Score (NPS), focused on overall loyalty and likelihood to stay. All responses are processed through an AI-moderated engine, then instantly summarized and categorized using a proprietary driver taxonomy. Results are visualized in the Ahart Portal, showing key drivers of attrition and engagement—no analysis or follow-up required.
What Makes It Different
Unlike traditional open-ended surveys, Ahart’s Driver Analysis uses AI to extract clear, comparative insight from qualitative data—without requiring time-consuming review or interpretation. Responses are analyzed through a proprietary taxonomy aligned to the six core domains of the Index, revealing patterns linked directly to retention, engagement, and trust.
Every theme is categorized, benchmarked, and delivered through concise, leadership-ready summaries in the Ahart Portal—allowing school and district leaders to act on real drivers, not guesswork. This is not open text reporting—it’s automated clarity from the voices that matter most.
