Qualitative Inquiry: The Texture of Organisational Culture
The noise colours everything. Looking around most boardrooms these days, we see the same questions come up - what direction should the company focus its energy? How can we know this is the right direction? The conversation circles and re-circles around finding a singular solution that will solve the problem. Surgical. Sterile.
But, of course, this isn’t how anything really works in the world. The messiness of an organic being and the systems they create is a feature not a bug. It is a sign of life; a good kind of friction. One that could spark reflection and better action. But it’s one thing to know and an entirely different thing to act.
Welcome to the final piece in this series of Provocations, where we’ve been exploring complexity and the lies surrounding it. The false promises of the grand plan and the tensions that arise within this landscape.
When we become an organisation’s Thinking Partners, a familiar scene often greets us. A CXO bewildered, an overwhelming quarterly dashboard. Green indicators seek to assure this leader that, by quantifiable accounts, the company is thriving. But they know this isn’t the full picture. And that’s why we’re there.
Warm data
Since its inception, Thinking Partners has worked to keep this promise - we will not avoid complexity. This means that we’ve spent a majority of our time experimenting with, observing and reflecting on a variety of approaches and frameworks. Every company is unique, every corporate culture has its own texture that spills beyond the numbers on a spreadsheet.
When we exit the executive suite and walk the floor, we gather a very different kind of insight - what researcher Nora Bateson calls warm data.
Nora Bateson, founder of the International Bateson Institute noted that while cold data defines variables and their frequencies, warm data explores the messy, qualitative, and deeply intertwined dynamics of a living system and it is a gift to leaders and coaches who are committed to looking beyond the tyranny of the metric.
Warm data is specific data about the contextual relationships and interplay that give a complex system its vitality (Bateson, 2019). Just as knowing individual family members is insufficient when trying to understand the family dynamic as a whole, a leader cannot truly comprehend an organisation by studying isolated individuals or departments.
In the Warm Data booklet, Bateson sets out seven distinct criteria to complement the complexity of living networks which aim to oppose the reductionism of the standard scientific method (Bateson, 2019). This methodology requires observing the observer to identify how our own presence changes the system, gathering multiple descriptions to trace the patterns connecting disparate contexts, and holding space for the paradoxes, inconsistencies, and varied timelines inherent in living networks. It deliberately balances holism and reductionism, demands cultural and epistemological responsibility for how we define “knowledge”, and treats the unspoken aesthetic, tone, mood and atmosphere of human interactions as vital data rather than subjective noise. Together, these seven criteria provide a rigorous, non-linear blueprint for tracking an organization's living reality without sanitizing the very complexity that gives it life.
And this is the cost of over-indexing towards output as numbers. We lose the texture of reality - which, as we covered in our first article, is made up of mostly conversations and interactions that build up over time to form an organisation’s culture; an organisational life.
How we look (some of our methodological tools)
To help leaders navigate this living complexity, we draw on a rich array of multidisciplinary approaches. Rather than imposing a single rigid framework, we adapt our lens to the unique contours of each organization.
The reflex of a machine, could it be said to have one, is to fall back on quantification - plug in the right stimulus and elicit the ‘correct’ response. When over-reliance on numbers fails, leaders and their teams might panic and react by generating even more metrics. Qualitative inquiry breaks this loop, transforming Nora Bateson's concept of 'warm data' into a structured methodology by shifting the focus from how many to why and how.
In his book, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (2009), John W. Creswell notes that qualitative research is an immersive, investigative process focused on understanding social interactions and phenomena.
In our context, coaches often deeply embed themselves within the corporate environment to capture participants’ genuine perspectives, ultimately making sense of the data by systematically analysing, comparing, and classifying patterns.
The main goal is to explore how processes with the company unfold, relying on descriptive text and visual data rather than numbers.
While Creswell (2009) provides a macroscopic procedural framework that is broader, Smith, Flowers, and Larkin (2009) adopt a more specialised focus in the form of Interpretative Phenomenological Analysis (IPA) and provide a dedicated blueprint for its execution.
As a subset of qualitative analysis, Interpretative Phenomenological Analysis (IPA) uses several distinct foundational principles to understand how individuals perceive and make sense of their own lived experiences.
In an organisational context, we use detailed, first-person accounts from leaders to uncover the critical nuances, personal meanings, and unique cultural contexts that explain corporate behaviour. This framework demands an idiographic focus - i.e., the coach deeply examines the executive’s specific case rather than applying generic management formulas. This developmental process is inherently interpretive, requiring the coach’s active engagement and their own insights to help the leader co-construct new perspectives and strategies.
Finding balance
Rejecting the tyranny of the metric does not mean abandoning metrics entirely. Cold data provides a baseline operational tracking, highlights structural trends, ensures compliance, and offers essential financial guardrails.
Cold data tells you where the system is experiencing strain; warm data tells you why it is happening and how the response of the system. The goal has never been to replace quantitative measurement, but to balance and combine the clarity of cold data with the vitality of warm data.
Together, these three frameworks can be used as a cohesive diagnostic lens for modern organisations: Nora Bateson’s concept of warm data shows us the systemic necessity of looking beyond numbers, John W. Creswell provides the structural methodology to help map complex corporate environments, and Paul Flowers’ idiographic IPA framework delivers the precise, human-centric tools required to decode an executive’s individual experience.
By blending ecosystemic awareness with conscientious qualitative inquiry, we are able to actually help leaders solve their problems and contextualise cold data they already have; nuanced feedback from a wider range of stakeholders enables better decision making, produces more informed strategies and encourages more robust management approaches.
Instead of running from complexity, leaders can finally harness it!
Bibliography
Bateson, N. (2019). Warm Data: Theoretical framework and criteria. International Bateson Institute.
Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). SAGE Publications.
Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretative phenomenological analysis: Theory, method and research. SAGE Publications.
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