Mindsets, behavioral archetypes grounded in user beliefs and actions, are increasingly used in user-centered design (UCD) to communicate complex user behaviors. However, the lack of methodological rigor and transparency in the development of mindsets has limited their credibility and broader application. This study presents a structured six-step methodology for creating and validating mindsets from qualitative data, developed in the context of cybersecurity for micro and small businesses. Drawing from established practices and practitioner insights, this method integrates behavioral theory, thematic analysis, and evidence-based segmentation to produce distinct, actionable mindsets. Key steps include applying the MECE (Mutually Exclusive, Collectively Exhaustive) principle to distill qualitative data, identifying behavioral tensions to define the quadrant axes, conducting face-validity checks, and drawing on best practices from the extant persona literature. Our resulting mindsets were evaluated through an online survey of 20 professionals who are subject matter experts (SMEs) in cybersecurity. Results indicated high perceived validity and usability, with 75-80% of participants finding the mindsets highly representative and highly likely to improve support of micro and small businesses. Feedback highlighted usability strengths alongside areas for refinement, including the importance of making targeted engagement recommendations actionable as well as some concerns about naming conventions. Our findings suggest that this methodology produces mindsets that are empirically grounded, replicable, and practically useful for engagement design. This study contributes a validated, transferable framework for mindset creation that can be applied across domains in which understanding user motivation and behavior is critical.
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