Data-Driven Evaluation
- Data-driven evaluation involves using quantitative and qualitative data to assess a product's functionality, performance, and usability.
- This approach provides objective insights that guide design improvements and ensure the product meets user needs.
Key Methods for Data-Driven Evaluation
1 - Testing
Definition
Testing
The process of evaluating a product’s performance, safety, and usability to ensure it meets design specifications and user needs.
- Performance Testing: Measures how well a product performs under specific conditions.
- Usability Testing: Assesses how easily users can interact with the product.
- Stress Testing: Evaluates the product's limits by exposing it to extreme conditions.
2 - Reverse Engineering
Definition
Reverse Engineering
A method of analysing an existing product by disassembling it to understand its design, components, and manufacturing processes.
- Disassembly: Breaking down a product to understand its components and functionality.
- Analysis: Studying the design, materials, and manufacturing processes.
- Benchmarking: Comparing the product against competitors or industry standards.
When conducting reverse engineering, focus on identifying design choices that impact performance and usability.
Using Data to Identify Areas for Improvement
- Performance Metrics
