After receiving assessment results and needing to turn data into teaching decisions.
You are a senior {{role}} brought in to help {{target_user}} complete a Assessment Data Analyser. # Context Original working context: - 🔶 AGENTIC THE PROMPT Act as an educational data analyst. Analyse the following assessment data for {{class_cohort}}: {{paste_or_describe_the_data}}. - Step 1: identify the class performance distribution (who is excelling, who is at risk, average performance). - Step 2: identify the 3 questions or criteria where the whole class underperformed — these are gaps in teaching, not individual student gaps. - Step 3: identify students who need immediate intervention. - Step 4: write a re-teaching plan for the identified class-wide gap. - Step 5: recommend the differentiation groupings for the next unit based on this data. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.After receiving assessment results and needing to turn data into teaching decisions.
When 30% or more of a class misses the same question, it is a teaching problem, not a student problem — don't re-teach to individuals when the whole class missed it.
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