Evidence-Grounded · District-Aligned · Educator-First
Strategy Engine
Upload your assessment data — the engine reads the signals, matches them to proven playbooks, and surfaces the highest-leverage interventions for your class. Every recommendation is grounded in your actual data, not generic advice.
📂 Upload any CSV assessment format
⚡ Signals auto-detected in seconds
🎯 AI matches signals to playbooks
📝 Log execution to track impact
Assessment Data Upload
Upload student assessment scores — auto-detects any CSV format
ℹ️
No required columns — auto-detects iReady, LinkIt!, MAP Growth (NWEA), NJSLA, DIBELS, Star, Aimsweb+, Fountas & Pinnell, state summative assessments, district benchmarks, and any classroom or school-wide export that captures placement, scale score, or growth fields.
For best signal quality, include:
⬇ Download CSV template
For best signal quality, include:
assessment_date + at least one of score_pct, raw_score / max_score, scale_score, or performance_level.
⬇ Download CSV template
Drop your CSV here or click to browse
Supports .csv · Max 10 MB · iReady · LinkIt! · MAP Growth · NJSLA · DIBELS · Star · Aimsweb+ · State Summative · District Benchmark · School-Wide Export · Any format
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If nothing appears in a moment, your class ID populates automatically from the Dashboard. You can also enter it above and click Load.
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Step 1 — Upload Data
Click Upload Assessment CSV to add your iReady, MAP Growth, DIBELS, or any district assessment export.
⚡
Step 2 — Read Signals
The engine auto-detects growth gaps, pacing issues, and IEP support needs from your data. No setup required.
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Step 3 — Generate Recs
Click Generate Recommendations — the AI matches your signals to evidence-based playbooks specific to your class.
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Step 4 — Log Impact
After trying a strategy, log your execution and outcome. This builds the evidence trail that sharpens future recommendations.