Learning Feedback Survey and Evaluation Designer
Design learning surveys and evaluation systems with objectives, measures, timing, questions, behavioral evidence, outcomes, bias controls, and action loops.
Learning Feedback Survey and Evaluation Designer is a free AI skill for learning & course building. Design learning surveys and evaluation systems with objectives, measures, timing, questions, behavioral evidence, outcomes, bias controls, and action loops. It works with Claude, ChatGPT and is ready to use out of the box.
About this skill
Design learning surveys and evaluation systems with objectives, measures, timing, questions, behavioral evidence, outcomes, bias controls, and action loops. It applies a structured workflow, labels assumptions, and produces implementation-ready guidance with ownership, controls, edge cases, and validation.
What it does
The skill analyzes goals, users, evidence, workflows, dependencies, constraints, and risks; converts them into a practical operating model; and produces explicit rules, responsibilities, exceptions, controls, tests, and rollout guidance.
What is included
- Evaluation context
- Learning and program objectives
- Evaluation levels
- Measure and evidence map
- Survey design
- Question set
- Timing and sampling
- Bias and accessibility
How to use it
1. Download the learning-feedback-survey-and-evaluation-designer-SKILL.md file 2. Upload it to your AI, operational, or project workspace 3. Provide the current process, users, goals, evidence, and constraints 4. Add ownership, approval, risk, and implementation requirements 5. Use the output for design, review, testing, or rollout
Examples
Create evaluation for an AI workshop using immediate feedback, later application checks, project evidence, and instructor review.
A complete professional deliverable with context, decisions, ownership, workflows, edge cases, risks, controls, validation criteria, and an implementation roadmap.
FAQ
What is this skill for?
Will it invent facts or results?
Can it improve an existing process?
Does it include edge cases?
Can it assign ownership?
How is this different from generic advice?
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