Prototype Assessment Criteria
What data points are needed to make the go, no-go decision during the assessment of an evolutionary prototype?
To make a “go” or “no-go” decision during the assessment of an evolutionary prototype, several critical data points are typically considered:
- User Feedback and Satisfaction: Input from actual users regarding the prototype’s usability, functionality, and whether it meets their needs or expectations.
- Technical Feasibility: Assessment of whether the technology underlying the prototype is stable, scalable, and capable of supporting the final product’s requirements.
- Performance Metrics: Evaluation of the prototype’s performance, including speed, reliability, and responsiveness, compared to the expected benchmarks.
- Requirement Fulfillment: Analysis of how well the prototype meets the core requirements and objectives defined at the outset of the project.
- Cost and Resource Analysis: Review of the costs incurred so far and the resources needed to continue versus the initial budget and resource availability…
To make a “go” or “no-go” decision during the assessment of an evolutionary prototype, several critical data points are typically considered:
- User Feedback and Satisfaction: Input from actual users regarding the prototype’s usability, functionality, and whether it meets their needs or expectations.
- Technical Feasibility: Assessment of whether the technology underlying the prototype is stable, scalable, and capable of supporting the final product’s requirements.
- Performance Metrics: Evaluation of the prototype’s performance, including speed, reliability, and responsiveness, compared to the expected benchmarks.
- Requirement Fulfillment: Analysis of how well the prototype meets the core requirements and objectives defined at the outset of the project.
- Cost and Resource Analysis: Review of the costs incurred so far and the resources needed to continue versus the initial budget and resource availability…
To make a “go” or “no-go” decision during the assessment of an evolutionary prototype, several critical data points are typically considered:
- User Feedback and Satisfaction: Input from actual users regarding the prototype’s usability, functionality, and whether it meets their needs or expectations.
- Technical Feasibility: Assessment of whether the technology underlying the prototype is stable, scalable, and capable of supporting the final product’s Prototype Assessment Criteria requirements.
- Performance Metrics: Evaluation of the prototype’s performance, including speed, reliability, and responsiveness, compared to the expected benchmarks.
- Requirement Fulfillment: Analysis of how well the prototype meets the core requirements and objectives defined at the outset of the project.
- Cost and Resource Analysis: Review of the costs incurred so far and the resources needed to continue versus the initial budget and resource availability…
