Consulting Notes

Spreadsheet Eeyores Clash with Tigger‑like Storytellers

By Olivia Brown August 15, 2026
Spreadsheet Eeyores Clash with Tigger‑like Storytellers - spreadsheet insurance
Spreadsheet Eeyores Clash with Tigger‑like Storytellers

The rise of the spreadsheet has reshaped insurance, but a growing reliance on numbers may be eclipsing the softer skills that keep the industry adaptable.

From Ledgers to Cells: How Excel Changed the Game

When Microsoft Excel entered the market in 1985, it introduced a level of precision that quickly displaced many manual practices. Toby Clegg notes that the tool removed the “breathing space” once available for brokers to craft narratives around disappointing results. The binary nature of spreadsheet columns—black for loss, red for gain—offers an unambiguous view that leaves little room for the “broker bullshit” of sentiment or timing.

Insurance has always leaned on the law of large numbers, yet the industry also contends with hard and soft market cycles, sudden capacity spikes, and occasional bursts of innovative underwriting. Those trends cannot be reduced to a single column of data. While technical premiums remain essential, seasoned underwriters rely on judgment built from experience, a sense of when something “doesn’t quite smell right,” and the scar tissue gathered from past mistakes.

Quantitative Purism vs. Qualitative Insight

According to Clegg, the spreadsheet‑centric mindset resembles a “Sith” approach: numbers dominate, and discussion ends once a model produces a result. In contrast, the “Jedi” stance values balance, recognizing that sentiment, narrative, and human judgment still matter. If pure numbers dictated every decision, moral hazard could be perfectly quantified and every risk priced to exact technical premium, resulting in profit streams as predictable as tides.

Attempts to replace intuition with sophisticated segmentation or data analysis have often amounted to “alchemy wrapped in jargon.” Even as artificial intelligence (AI) promises to solve complex problems, its developers are feeding models vast libraries of old books, from Victorian travelogues to obscure literature. This suggests that AI, despite its quantitative foundation, still needs context, language, and ambiguity—essentially, stories.

Businesses that ignore personality and sentiment risk losing more than just revenue.

Related: Sabre hikes premiums 16% amid motor market pressure

The need for balance is clear: financial discipline and statistical underwriting are indispensable, but they must coexist with the qualitative guardians—persuasion, creativity, and storytelling—that build trust and uncover opportunities.

In practice, the shift toward spreadsheet dominance could erode those very traits. As firms automate more of the product and service chain, the role of trained humans may shrink, leaving the industry vulnerable to the loss of adaptability that comes from lived experience.

Markets are ultimately made by people, not cells, and those who can blend quantitative rigor with narrative flair will continue to find success.

From a practical standpoint, the current trend suggests that insurers who invest solely in spreadsheet‑driven processes may miss subtle cues that signal emerging risks or opportunities.

For frontline brokers, maintaining a habit of qualitative assessment—such as gauging client sentiment during renewal conversations—can provide early warnings that raw data alone would overlook. This blend of data and dialogue can improve retention rates and help firms manage volatile market conditions more effectively.

Remembering that the spreadsheet was intended to be a servant, not a master, may help the industry recalibrate. Many professionals still instinctively reach for the blue Word icon when drafting proposals, finding it a safer and more hopeful space than the green‑filled cells of Excel. That small preference hints at a broader desire to preserve narrative alongside numbers.

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