Common use of Data Analysis Clause in Contracts

Data Analysis. The survey will comprise Yes and No questions and Likert scales. For the first type of questions, the analysis will provide frequencies of responses. For Likert scales, the analysis will provide mean average of results as well as frequencies of responses for each item in the scale. Depending on final number of interviews, the answers to the introductory session describing respondents would allow to segment results and identify which factors drive and inhibit acceptance by gender, age, family status, etc. The final model will be instrumental for the analysis and assessment of MAtchUP social acceptance in the 3 Lighthouse cities but can be also a very powerful tool after project’s end. Indeed, the analysis of results can be leveraged for several activities, also in the post-project exploitation phase: 1. To monitor the evolution of social acceptance over time and verify which variables drive change (those variables represent factors that need attention when deciding on next steps in the exploitation phase). 2. To identify areas of improvement for MAtchUP. As an example, if awareness is a key problem, then recommendations can be made on how to better promote the existence of the solution. If citizens using electric vehicles disliked the support, then actions should be taken to improve it. Etc. 3. To personalize the value proposition according to citizens’ needs and perceptions. The segmentation of results by age bands can for example drive the ideation of different value propositions for young people versus elderly and decide on ways to promote the project and overall go-to-market strategy.