How Tribal Thinking Hinders Organisational Agility—And What Leaders Can Do About It

By Nathan Waterhouse · 2025-01-07

Imagine opening a news alert on your phone to find: ‘Alien spacecraft detected entering our solar system’. How would you respond? How would society respond? This is a favourite polemic in science fiction, including a recent novel by Peter Cawdron, Love, Sex and the Alien Apocalypse, which poses an intriguing idea:

“As much as science has transformed humanity, Alice understands that science is an outlier in history—a unicorn. Science is not normal for anyone. What’s normal is arguing and being defensive.”

Alien invasion might sound far-fetched, but the underlying question remains: how do people—and organisations—react when faced with unfamiliar or challenging information?

This raises a central question: are we, as humans, truly wired for evidence-based reasoning – or do our tribal instincts tend to dominate when confronted with the unknown? In the workplace, the same underlying tensions can surface when we need agile, collaborative thinking but encounter resistance and siloed viewpoints.

Why Tribalism Matters to Senior Leaders

Tribalism, in essence, refers to prioritising the attitudes and beliefs of one’s own group over empirical data or outside perspectives. This is a formidable challenge in large organisations, where siloed structures, internal politics, and cultural norms can stifle innovation, impede collaboration, and limit adaptive thinking.

Although many modern institutions value evidence-based decision-making, this “logos” approach is relatively new in the broader arc of human history. Far more ingrained is “mythos”—the storytelling and shared narrative traditions that have fostered group cohesion for millennia. Our cultural and evolutionary heritage means that, when facing new information, we may lean on ingrained beliefs rather than data.

A Personal Encounter with Tribal Thinking

During the first lockdown, my family and I contracted COVID-19 in March 2020—before the official lockdowns began—and I suffered from symptoms for a couple of months. One day, I had an electrician over to provide a quote, and I explained why I was keeping my distance. I told him I had COVID-19. He was visibly shocked and then dismissed my statement, insisting that the virus was “fake.” Despite standing before him as walking proof, his ingrained belief system couldn’t integrate this contradictory evidence.

This anecdote perfectly illustrates our collective struggle: we often resist facts that clash with our established worldviews or the beliefs of our tribe.

The Evolutionary Roots of Tribalism

Psychologist Robin Dunbar’s (1992) research suggests our social cognition evolved to handle only a certain number of meaningful relationships (the Dunbar number - around 150). Maintaining shared narratives within a small “tribe” promoted trust and reduced conflict, boosting survival.

Social Identity and the Power of “Us” vs “Them”

According to Tajfel and Turner (1979), our identity is heavily influenced by group affiliations. This can generate an “ingroup bias,” causing us to favour the perspectives of our familiar team or department over external data. The classic conformity experiments by Solomon Asch (1951) show how peer pressure can overpower objective fact.

While these ingrained behaviours helped early humans thrive, they can sabotage modern collaborative environments that demand open-mindedness and cross-functional cooperation.

Cognitive Biases: Why We Cling to Comfort

Human thinking is plagued by biases such as:

In a corporate setting, these biases can lead leaders or teams to resist things such as:

The Role of Algorithms—and Internal Echo Chambers

Platforms such as TikTok, Facebook, X, and YouTube use algorithms that reward engaging, often polarising content. Users receive curated posts that reinforce existing viewpoints, exacerbating a “tribe-versus-tribe” dynamic. While this is widely discussed in the context of public discourse (for an insightful deep dive into what started the culture wars, listen to ‘Things Fell Apart’), similar mechanics can thrive in large organisations through siloed structures, team cliques, or leadership echo chambers.

In large enterprises, departments can function as insular tribes with distinct cultures and narratives—reinforcing in-group beliefs. This can create echo chambers, stifling cross-functional dialogue and obscuring valuable external perspectives. These silos can lead to insular decision-making and exacerbate the tendency to accept information that supports the in-group’s perspective while dismissing evidence from other teams or external sources.

In my last post, I explored how carefully worded AI prompts can reduce systematic bias in AI outputs. Interestingly, artificial intelligence can bring fresh perspectives precisely because it is not inherently bound by human tribal biases. Careful engineering of AI prompts and datasets can reduce systematic distortions in AI outputs. However, technology itself is not a silver bullet: if teams feed AI systems only the data that confirms internal biases, the technology becomes yet another echo chamber.

Strategies for Fostering Evidence-Based Leadership

So how do senior leaders counteract our built-in inclination to form rigid tribes and reject uncomfortable facts? Here are several approaches:

  1. Educate to identify. Equip staff to spot manipulated or biased content. When people understand how echo chambers form, they are more likely to question their own newsfeeds, group chats, or departmental assumptions.

  2. Have Cross-Tribal Conversations. Sponsor initiatives that bring together teams from different parts of the organisation. Structured forums—such as ‘town hall’ debates, innovation labs, or cross-departmental “hack days”—help colleagues gain broader perspectives.

  3. Set Shared Objectives. Focus on enterprise-wide goals (e.g., global expansion, sustainability targets, or digital transformation). When teams rally around a common mission, it becomes easier to transcend departmental loyalties.

  4. Promote Emotional Resilience. Practices like mindfulness or cognitive-behavioural techniques help individuals pause and reflect rather than react impulsively to emotionally charged information.

  5. Lead by Example. When executives demonstrate evidence-based decision-making—citing credible data, openly acknowledging new insights, and adjusting strategies in response—they model the mindset they expect throughout the organisation.

  6. Reward Collaboration and Openness. Incentivise teams to share information, challenge assumptions, and provide constructive feedback. Consider recognition programmes for individuals who bring fresh data or challenge outdated processes. Celebrating evidence-driven successes fosters a culture of innovation.

Embracing Tribal Bonds—Without Losing Objectivity

Tribal connections also bring positive elements: loyalty, camaraderie, and social support. We don't need to eliminate these bonds; rather, we can balance community spirit with openness to new, sometimes challenging, information.

By becoming more aware of our innate biases, pushing for responsible tech (both AI and internal communication systems), and fostering inclusive, data-informed dialogues, leaders can help their organisations stay focused on the best available evidence—even if it goes against group assumptions.

Questions for Your Organisation

  1. Where do you see tribal thinking in your organisation? Consider teams, departments, or projects in which certain narratives take hold, regardless of data.

  2. Which biases are strongest among your leadership or frontline teams? Confirmation bias, motivated reasoning, or belief perseverance?

  3. How do you currently reward cross-silo collaboration? Reflect on whether your recognition and reward structures unintentionally reinforce tribal boundaries.

  4. Could AI or data analytics help highlight inconvenient truths or blind spots? Think about whether your data strategy is wide-ranging enough—and whether you invite debate around its findings.

Senior leaders who ask these questions—and act on the answers—can harness the best of their organisation’s collective talent. By bridging tribal divides and embracing evidence-based solutions, we stand a better chance of addressing the major challenges that face today’s enterprises. Integrate these questions into your next executive offsite or leadership team discussion. Challenging assumptions openly can reveal immediate opportunities for cross-functional collaboration.

The next time you hear an opinion that seemed steeped in tribal bias, try asking 'what have you observed that led you to that conclusion?'

How do you see tribalism shaping decision-making in your organisation? Are there ways you’ve successfully built bridges across teams or silos? I’d love to hear your experiences.

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