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Prompt Evaluation Cheat Sheet for Product Managers

Why Prompt Evaluation Matters

The 7-Step Eval Workflow

The 7-Step Eval Workflow Deep Dive

Step 1: Write Initial Prompt Draft

Step 2: Create Evaluation Dataset

Step 3: Run Prompt Against All Test Cases

Step 4: Collect All Claude Responses

Run evaluation and collect all outputs

Store results for analysis

Step 5: Grade Each Response

Apply grader to all results

Apply model grader

Step 6: Calculate Overall Performance

Step 7: Improve Prompt and Iterate

Hands-On Examples and Implementation

Real-World Example Results

Complete Implementation Example

Usage example

Generate dataset

Test initial prompt

Calculate average score

Grading Systems and Operationalization

Grading System Comparison

Getting Started Checklist

Planning Phase

Implementation Phase

Optimization Phase

Production Phase

Key Takeaways for PMs

Knowledge Checks

Quiz: Why Prompt Evaluation Matters

Quiz: The 7-Step Eval Workflow

Quiz: Dataset Creation and Execution

Quiz: Grading and Performance Analysis

Quiz: Iteration and Optimization

Understanding Prompt Eval Pitfalls

Course Feedback

End-of-Course Survey

Turn prompting from guesswork into a measurable, repeatable product capability. Prompt Evaluation Mastery for Product Managers: Workflow to Impact teaches you a rigorous, end-to-end evaluation process so you can ship AI features with confidence. In this practical program, you’ll learn a 7-step workflow to design prompts, build representative test datasets, run batch evaluations, grade responses with model- and rubric-based scorers, calculate performance, and iterate toward production quality. You’ll apply the system through hands-on examples and compare grading strategies to choose what fits your product’s tolerance for risk and scale. By the end, you can translate business goals into evaluation metrics, reduce hallucinations and regressions, and align AI behavior with user outcomes. Whether you’re building copilots, automations, or analytics assistants, this course gives you the tools to operationalize prompt quality—so stakeholders see reliable impact, not demos. If you’re ready to move beyond ad-hoc tweaks and establish a durable PM-led eval practice, this course is your playbook.

Prompt Evaluation Mastery for Product Managers: Workflow to Impact

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            <p>AI features live or die by the quality of their prompts—and by how rigorously those prompts are evaluated before they reach users. Prompt Evaluation Mastery for Product Managers: Workflow to Impact translates that reality into a pragmatic, repeatable approach you can operationalize in product environments. You’ll start with a concise Prompt Evaluation Cheat Sheet and a clear case for why evaluation matters for accuracy, safety, cost, and velocity. Then, you’ll adopt a 7-step evaluation workflow that transforms prompt fiddling into measurable, scalable product impact.</p>
<p>The course takes you from first draft to production-grade prompts through a deep dive on each step: drafting the initial prompt, creating an evaluation dataset, running comprehensive test cases, collecting model outputs, grading responses with human and model-based rubrics, calculating overall performance, and iterating for improvement. You’ll reinforce learning with hands-on examples, including dataset generation, test execution, and performance scoring, plus a complete implementation walkthrough. To help you ship with confidence, you’ll compare grading systems, follow a getting-started checklist, and move through planning, implementation, optimization, and production phases. Knowledge checks throughout ensure retention on workflow, dataset design, grading, and iteration—culminating in key takeaways tailored for PMs who need to move from experimentation to reliable, repeatable outcomes.</p>
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