Likert Scale Standardization Architect

Standardize Likert-scale feedback with this AI prompt, ensuring consistent data across educational surveys while preserving historical nuances.

What this prompt does

  • Analyzes the current state of survey data chaos to identify inconsistencies in Likert-scale feedback across different course surveys.
  • Designs a comprehensive mapping framework that standardizes and labels feedback while preserving the original intent and nuance of each question type.
  • Builds a robust script with validation checks and error handling to ensure accurate and politically sensitive standardization.

How to use this prompt

  1. Inside #INFORMATION ABOUT ME section, fill in the [DESCRIBE YOUR CURRENT SURVEY FORMATS AND SCALES], [LIST DEPARTMENTS OR COURSES USING DIFFERENT SURVEYS], [SPECIFY PROGRAMMING LANGUAGE, DATABASE, OR PLATFORM LIMITATIONS], [DESCRIBE WHO WILL USE THE STANDARDIZED DATA AND HOW], and [SPECIFY TIME P…
  2. Example: "My survey formats include 5-point and 7-point Likert scales. Departments using different surveys are Psychology, Business, and Engineering. We use Python and SQL databases. The standardized data will be used by department heads for curriculum improvement. Historical data ranges from 201…

Premium prompt — included in the Complete AI Bundle. Part of the Education prompts collection in the God of Prompt library.

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