Today more than ever, it is evident the role that data can play when designing policies. Data not only aids in shaping effective strategies but also fosters reflexive practices within Public Administrations, promoting knowledge management and smarter governance. However, multiple gaps concur to affect data understanding and interpretation, hindering its subsequent translation into policy-valuable information. To address these challenges, the article proposes a two-fold approach: (i) illustrating a narrative approach for building profiles of cities as narrative feedback from sets of data and (ii) investigating their potential as a (self-) evaluation and a decision-making support device. The feedback structure relies on the conceptual model developed for the DIGISER Project, which investigated multidimensional digital transformation processes across European cities. By employing dynamic feedback mechanisms, data from the project dataset is transformed into discursive form. The effectiveness of the approach and its device is validated through a qualitative enquiry on a textual excerpt provided to three different departments of one of the cities that participated in the survey. The study corroborates that designing narrative feedback as semantic interpretations can trigger understanding, (self-)reflection and support policy change, informing policy formulation and facilitating cross-silo interactions across administrative units engaged in digital transformation processes. [ABSTRACT FROM AUTHOR]