QUESTIONNAIRE FOR ASSESSING DESIGN PRACTICES
Bibliographic record
Abstract
In 2010, an exploratory survey on methods, tools and design techniques (MTT) has led to a better understanding of design practices of small and medium enterprises (SMEs) located in Eastern Quebec. The results of this survey have shown that most companies report having a structured design process, while only some resort to MTT. Following this study, a new research was launched to develop performance indicators for the design process, but also, and more generally, for design projects. To do this, a tool was developed to characterize and evaluate the design practices of companies as a way to establish performance indicators following a longitudinal study. A questionnaire was developed as a tool based on a model of design system consisting of six dimensions (human, management, environment, product, process and techno-scientific). In the questionnaire, each dimension is characterized by different descriptors which are analyzed by four aspects that measure: i) if the descriptors are taken into consideration (the occurrence of the descriptors), ii) the importance of the descriptors according to the project success , iii) the company’s performance level related on the descriptors and iv) the involvement of partners. For validation purposes, the tool was tested on a pilot basis by eight companies. This paper introduces the questionnaire and the model that directed its construction and the types of analysis that can be conducted using the data collected.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".