Evaluation Utility Metrics (EUMs) in Reflective Practice.

Abstract

The article proposes three evaluation utility metrics to assist evaluators in evaluating the quality of their evaluation. After an overview of reflective practice in evaluation, the different ways in which evaluators can hold themselves accountable are discussed. It is argued that reflective practice requires evaluators to go beyond evaluation quality (i.e., technical quality and methodological rigor) when assessing evaluation practice to include an evaluation of evaluation utility (i.e., specific actions taken in response to evaluation recommendations). Three Evaluation Utility Metrics (EUMs) are proposed to evaluate utility: whether recommendations are considered (EUM_c), adopted (EUM_a), and (if adopted) level of influence of recommendations (EUM_li). The authors then reflect on their experience in using the EUMs, noting the importance of managing expectations through negotiation to ensure EUM data is collected and the need to consider contextual nuances (e.g., adoption and influence of recommendations are influenced by multiple factors beyond the control of the evaluators). Recommendations for increasing EUM rates by paying attention to the frequency and timing of recommendations are also shared. Results of implementing these EUMs in a real-world evaluation provide evidence of their potential value: practice tips led to an EUM_c = 100% and EUM_a > 80%. Methods for considering and applying all three EUMs together to facilitate practice improvement are also discussed.