The purpose of this study was to examine the potential of textual analysis techniques to inform strategy development in a small business. An evidenceinformed, theoretical framework was developed moving from abstract ideas and concerns to enhanced strategic insights through an application of the textual analysis techniques of term frequencies, n-gram frequencies, and thematic analysis to an author-created corpus comprised of 250 independent writings created by firm leadership. The findings of this study suggest that term and bigram frequencies, along with AI-identified themes are useful for revealing points of strategic focus and concern. Correlation analysis of termusage preferences between the participants provided a rigorous and objective approach for assessing and establishing the degree of strategic alignment between the founder and senior partner. This research provides a foundation for engaging more consistently with organizational strategy development by reducing the randomness associated with impromptu participation in strategic meetings and contributes to the research literature on applied textual analysis and strategy development.