From Artefacts to Meanings: Reframing organisational value propositions through systemic analysis of user-product relationships
Bibliographic record
Abstract
The world is facing complex societal issues that continuously call for organisations to transition towards future-proof models. Design practices are no exception to this. As a case study, this paper focuses on the journey of a company that designs, manufactures, and sells products in the juvenile sector and has operated according to the traditional linear business models for over twenty years and now acknowledges a need for change. Our study starts by challenging future ambitions of the company through a system-oriented framework to eventually explore the role of design(ers) in employing systemic analysis of entanglements to reframe the organisation’s value propositions. Our study sheds light on the opportunities that emerge with the expansion of the solution space when the company culture is moved from an artefact-based focus towards a meaning-based focus. Deriving from a series of co-design sessions, we present the evolutionary path of user-product relationships through the product’s lifetime and use this timeline to translate the interdependent system dynamics into tangible and actionable strategic directions. We redefine what the notion of “ownership” should look like in an alternative paradigm that enables resilient futures. As a result, we present three core vision principles that guide the future of innovation in the company and thirteen key propositions that illustrate these principles with the aim of transitioning not just the company itself but also the mindset towards new product value in the market as a whole.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.038 |
| Scholarly communication | 0.016 | 0.020 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".