Investigations in mental health can take multiple perspectives to explain their results. The current chapter will build an argument for reflecting on the results obtained by proposing a method that compares both data and theory to reach holistic conclusions. Through the example of an investigation on flourishing, an indicator of mental health, the chapter will chart how findings can sometimes be different from what is supported by the theory on which the hypothesised relationships are built. The chapter defines “theory-driven” and “data-driven” in the context of this example. Drawing from theories of data and statistical analysis, a “data-driven” approach is then proposed for constructing a model that complements the “theory-driven” model. It is argued that for a more nuanced understanding of mental health, examining both these models together will lead to the development of actionable steps that can enable both theory building and/or refinement. The limitations of using solely data-based models are also enumerated. Using a reflexive approach, advantages and implications for presenting both a data-driven and a theory-driven model are elucidated to better inform research, practice, and policy in mental health.