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Submission date: 
Tuesday, 2 March, 2021


This document is the first of a series of deliverables that will detail the evaluation process. It presents the proposed methodology, the time planning of the evaluation methods proposed within the project lifecycle, the specific objectives they pursue and their expected impact.

It provides an initial approach to the evaluation methodology differentiating between Impact Analysis (IA)evaluations which are intended to assess the expected impact of the project and how evidence based policies contribute to the policy modelling process and its implementation, and Quality Validations (QV), which try to determine how to validate the innovative tools and modules developed within the project, specifically the Policy Development Toolkit(PDT).

As an introduction the Public Policies Implementation Process is described, considering how the Policy Cloud project contributes to this aim at the different stages of this process, presenting also the way the policy definition and implementation process is linked to the evaluation methodology proposed in this document.

The Evaluation and Recommendation Process section begins with a brief introduction to the key points on which the methodology is based: impact assessment, technology acceptance and validation of the interaction and usability aspects. With these concepts in mind, the proposed methodology for evaluation and recommendation is presented. It consists of different interventions throughout the project to evaluate, both the expected impact of Policy Cloud as a project that could contribute to evidence-based policy development and, to this end, whether the solutions provided within the project, including the Policy Cloud PDT, will contribute to this function and to what extent.

Finally, in the Use Cases Evaluation section, the particularities for the evaluation of each use case will be defined. At this stage of the project it is not necessary to have the basis of the evaluation very closely established, but it is necessary to clearly identify the most relevant policy makers for each use case, and their functions.

The final result of these deliverables, once the different phases will be completed, isto understand how the Policy Cloud PDT integrates into the working practices of the policy makers and how they use the toolkit. To gather all the data and insights they will be interviewed to report the benefits, unexpected inconveniences and all the possible outcomes to be able to identify best practices and lessons learnt to achieve new improvements.