2. Evaluating The Success Of The Packaging Prototype Against Brief And Specifications (5.2)
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2. Evaluating the Success of the Packaging Prototype Against Brief and Specifications

2. Evaluating the Success of the Packaging Prototype Against Brief and Specifications

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The Logic of Evaluation * **Chunk Text:** To evaluate a design properly, you must define success through specific, measurable criteria. * **Detailed Explanation:** Evaluation is the bridge between a prototype and a finished product. It removes the "I think it works" bias and replaces it with "The data proves it works." By justifying your methods, you show that your testing is targeted and strategic. * **Real-Life Example or Analogy:** Think of a car safety rating. They don't just say a car is "safe." They use crash-test dummies for **Quantitative** data and driver surveys for **Qualitative** comfort levels.

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Chapter Content

To evaluate a design properly, you must define success through specific, measurable criteria.
* Detailed Explanation: Evaluation is the bridge between a prototype and a finished product. It removes the "I think it works" bias and replaces it with "The data proves it works." By justifying your methods, you show that your testing is targeted and strategic.
* Real-Life Example or Analogy: Think of a car safety rating. They don't just say a car is "safe." They use crash-test dummies for Quantitative data and driver surveys for Qualitative comfort levels.

Detailed Explanation

Evaluation is the bridge between a prototype and a finished product. It removes the "I think it works" bias and replaces it with "The data proves it works." By justifying your methods, you show that your testing is targeted and strategic.
* Real-Life Example or Analogy: Think of a car safety rating. They don't just say a car is "safe." They use crash-test dummies for Quantitative data and driver surveys for Qualitative comfort levels.

Examples & Analogies

Think of a car safety rating. They don't just say a car is "safe." They use crash-test dummies for Quantitative data and driver surveys for Qualitative comfort levels.

Mixed Methods for Better Results * **Chunk Text:** Integrate both qualitative and quantitative techniques. * **Detailed Explanation:** If you only use numbers, you miss the human emotion. If you only use feelings, you miss the structural physics. A truly "Comprehensive" evaluation uses both to get a view of the product's performance. --

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Chapter Content

Integrate both qualitative and quantitative techniques.
* Detailed Explanation: If you only use numbers, you miss the human emotion. If you only use feelings, you miss the structural physics. A truly "Comprehensive" evaluation uses both to get a view of the product's performance.

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Detailed Explanation

If you only use numbers, you miss the human emotion. If you only use feelings, you miss the structural physics. A truly "Comprehensive" evaluation uses both to get a view of the product's performance.

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Examples & Analogies

No real-life example available.

Key Concepts

  • Alignment: Ensure criteria match your initial design specifications.

  • Mixed Methods: Using a "toolkit" approach to gather different types of evidence.

  • Reliability: Ensuring that if you ran the test again, you would get the same result.

Examples & Applications

Example 1: A student creating compostable snack bags includes a "Decomposition Log" to track the material over days.

Example 2: A student uses a -point Likert scale survey to measure how "premium" the packaging feels to the target audience.

Memory Aids

Interactive tools to help you remember key concepts

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Memory Tools

  1. Establish Criteria
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Memory Tools

What am I testing? Why this method? Who is the tester?

Flash Cards

Glossary

Justification

A logical defense of why a specific method was chosen.

Reference links

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