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The co-design diagnosis is critical to assess the co-design needs through an exploratory approach. This step, which must be completed before any workshops with identified users, should clearly assess the technical system (Digital infrastructure, Data, Information, Usage, Value-Embedding Usage, and Users’ Needs) and the relationships between the actors, which plays a critical role in shaping the overall success of the co-design journey.
It helps identify missing elements and key challenges, with the goal of structuring a consistent co-design action plan. While workshops — organized based on a thorough diagnosis— will follow, the diagnosis is an independent and foundational step that must be continuously nourished and refined, especially after establishing initial contacts, and throughout the co- design process.
The co-design diagnosis should be performed to assess:
1) The technical system and its missing elements
2) The processes and competencies required to complete the technical system
3) The actors and their interactions
To perform an effective diagnosis on each of these dimensions, the diagnosis of each co-design initiative relies on the representation of the service on a ‘data-information-value’ framework introduced in the Worksheet 2. It represents the ‘data journey’ from raw data to information, up to usages, the actors involved in the different transformation processes and the competencies required.
Worksheet 2.0 — Co-design diagnosis and the Data-Information-Value Framework.pdfWorksheet 2
Co-design diagnosis and the
Data-Information-Value Framework
This document presents Phase 2 of the co-design process, dedicated to the Co-design diagnosis. It introduces the Data-Information-Value (DIV) Framework, which offers a structured and systematic approach for identifying, prioritising, and directing co-design needs within DestinE service development. Building on the foundations established in Phase 1 “Approaching Users”, the diagnosis phase helps service providers examine how data is transformed into information, how this information is mobilised in users’ contexts, and where value is ultimately created, or lost, within the ecosystem.
The DIV Framework serves as both an analytical lens and a design-support instrument. It enables service providers to characterise technical, organisational, and relational conditions that shape the data journey, from upstream digital infrastructure to downstream user practices. Through this representation, the framework helps reveal gaps, misalignments, and dependencies that require co-design efforts, offering a shared basis for structuring a coherent sequence of workshops focused on usefulness, operability, and usability. Applied iteratively, the DIV Framework supports a progressive deepening of understanding as user engagement evolves
Worksheet 2.1 — Competency map.pdfWorksheet 2.1
Competency Map
The competency map offers a structured way to identify, align, and manage the diverse skills required across the full lifecycle of DestinE-based service development. In a context where technical, scientific, operational, and business expertise must converge, it provides an essential foundation for ensuring that services are technically robust, usable, relevant, and sustainable. By clarifying the roles and contributions of all involved stakeholders, the competency map strengthens coordination, reduces project risks, and supports the design of coherent co-design relationships.
This document introduces a comprehensive competency framework covering the key phases involved in transforming raw data into valuable services, from data provision and modelling to service design, delivery, and use. It helps teams diagnose their internal strengths, identify critical gaps, and determine where collaboration or capacity-building is needed. When used collectively, it supports project teams in designing balanced partnerships and allocating tasks strategically, ensuring that the project benefits from the right expertise at the right moment. The competency map also plays a central role in structuring co-design activities. By making explicit the competencies that must be aligned between partners and those that must be matched with user capabilities, it provides a clear basis for framing workshop objectives and organising effective collaboration.
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