Fair screening rubric · an online learning company
Turn information from an online learning company into a matrix of observable criteria, questions, and scoring rules.
Deliver a matrix of observable criteria, questions, and scoring rules with evidence and one verifiable action.
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Prompt objective
Deliver a matrix of observable criteria, questions, and scoring rules with evidence and one verifiable action.
Real use case
Use this when an online learning company needs a decision informed by enrollment, learner progress, and support.
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Prompt
Work as a practical specialist in fair screening rubric for an online learning company. I need a matrix of observable criteria, questions, and scoring rules. Information I will provide: - Situation and goal: [DESCRIBE THE PROBLEM AND DESIRED OUTCOME]. - Available evidence: [PASTE RELEVANT NOTES, DATA, MESSAGES, OR DOCUMENTS]. - Deadline and owners: [GIVE DATES AND PEOPLE]. - Constraints: [BUDGET, CAPACITY, LAW, PRIVACY, OR BRAND]. - Indicators we track: enrollment, learner progress, and support. First, identify the essential missing information. If you can proceed, state up to three assumptions and label them as assumptions; never invent figures, quotes, or decisions. Then produce a matrix of observable criteria, questions, and scoring rules. Include an example grounded in an online learning company, one ranked recommendation, and the first action someone can take today. For each recommendation, show the supporting evidence, suggested owner, and a way to verify the result. Task-specific review: exclude criteria tied to protected characteristics. End with a quality check covering unverified data, the main risks, and two questions that could change your recommendation. Write in plain English and avoid generic advice.
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- 1Replace the key placeholders first: DESCRIBE THE PROBLEM AND DESIRED OUTCOME, PASTE RELEVANT NOTES, DATA, MESSAGES, OR DOCUMENTS, GIVE DATES AND PEOPLE, BUDGET, CAPACITY, LAW, PRIVACY, OR BRAND.
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