SWOT Analysis Examples: Every Entry Was an Assumption

SWOT analysis examples in textbooks show tidy grids with plausible entries. Real cases show something uglier: organisations that trusted their top-left box without checking whether the strength still held. One verification step would have caught the collapse before the board approved.

In 2015, Sears Holdings listed "iconic brand portfolio" as a top strength in its strategic planning. Craftsman, Kenmore, DieHard. Three names American consumers recognised instantly. Three years later, Sears filed for Chapter 11. Revenue had fallen from $36 billion to $16 billion while that entry sat untouched in the top-left box of every SWOT grid the company produced.

The grid was not empty. It was full of entries that looked like evidence but functioned as beliefs. "Strong brand recognition" is a fact. "Strong brand recognition keeps customers buying from us" is an assumption, and nobody at Sears tested it. I have watched this sequence repeat across manufacturing, financial services, and the public sector: a completed SWOT analysis creates a feeling that strategic thinking has been done, because the entries sit inside a structure that implies rigour. What the structure actually contains is a set of claims arranged to look like conclusions.

A SWOT analysis example is a completed grid of strengths, weaknesses, opportunities, and threats, where every entry is an untested assumption until verified.

What Every SWOT Analysis Example Skips

Search online and you will find hundreds of SWOT analysis examples, most of them published by consulting firms and business schools that treat the grid as a finished product. The format never varies: a 2x2 matrix with four labelled boxes and entries that read as statements of fact. Every example reinforces the same unexamined assumption: that sorting observations into categories is the valuable part of strategic thinking.

Hill and Westbrook studied what actually happened in 50 UK companies that ran SWOT workshops. Twenty of them generated more than 40 items per session, and not one company used those outputs in later strategy formulation. The items were categorised and forgotten. The tool remained dominant in business school syllabuses and consulting practice regardless, because the people who teach SWOT are not the ones who suffer when the output goes unused.

A SWOT analysis grid treats a hunch and a verified fact as the same kind of entry. "Strong brand portfolio" occupies the same cell as "expanding customer base," and neither is examined for significance or shelf life. The standard process for running a SWOT does not ask whether an entry is still true, how much it matters to the decision the team is actually making, or what evidence supports the claim.

Sears: When Brand Strength Was an Assumption

Sears Holdings listed Craftsman, Kenmore, and DieHard as core strengths in strategic assessments and investor presentations throughout the 2010s. The entries were factual in one narrow sense: American consumers recognised the brand names. Recognition, however, is not the same as preference. It does not mean customers will pay a premium, visit a Sears store, or choose Sears over competitors when the same product sits on a rival's shelf at a lower price with better service.

Revenue fell from roughly $36 billion in FY2013 to roughly $16 billion in FY2017. Eddie Lampert's investment thesis rested on the assumption that brand equity was durable and that recognition translated into purchasing behaviour. Consumer research told a different story: shoppers found Craftsman tools and Kenmore appliances at Amazon and Home Depot, with lower prices and more convenient fulfilment. The "strength" in the grid was a belief that nobody had checked. Sears filed for Chapter 11 in October 2018, roughly three years after a SWOT analysis example for the company would have listed "iconic brand portfolio" as its most prominent strength.

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Any team copying that template for their own company would have inherited the same untested assumption: that recognition equals preference. I have seen this specific entry, "strong brand portfolio," appear in at least a dozen grids across industries where the brand had stopped driving purchasing decisions years earlier. Stage 3 of the Universal Decision-Making Method asks what the team is actually assuming and rates each assumption by influence and confidence. "Brand recognition equals customer preference" scores high influence and low confidence: the Critical zone, where the assumption demands investigation before any strategy depends on it. Sears never ran that investigation, and consequently a strength that had been eroding for a decade continued to appear in the top-left box as though it were settled.

Peloton and GE: When Facts Decayed Into Assumptions

During the pandemic, Peloton's revenue surged roughly 300 percent. Management treated this as a "structural shift in consumer behaviour" and committed accordingly: a $400 million factory in Ohio, expanded manufacturing capacity, and aggressive hiring. The company's market capitalisation reached roughly $50 billion at its peak, built on the assumption that demand would persist after lockdowns ended. A SWOT grid drafted in mid-2020 would have listed "explosive demand growth" under Strengths and "accelerating shift to home fitness" under Opportunities. Both entries were accurate at the time of writing. Neither was tested for durability, because the grid does not distinguish between a condition verified as permanent and one that may be situational.

Rate each SWOT entry by how much it influences your decision and how confident you are it is true, before the grid crosses into a commitment. Start the Walk →

When lockdowns ended, revenue fell from roughly $4.0 billion in FY2021 to roughly $2.8 billion in FY2022. The Ohio factory was scrapped, restructuring charges reached $611 million, and approximately 2,800 employees were let go. The entries in the grid were facts that had decayed into assumptions, and nobody noticed because the grid has no mechanism for flagging temporal change. The same pattern repeats across PESTEL analysis examples from Nokia to BP, where each team catalogued the right factor and left the premise underneath it unexamined. In Deciding, Roger and I described this as the core instability of any planning snapshot: facts do not stay factual, and a framework that treats an observation as permanent will miss the moment when confidence in that observation should have dropped.

General Electric under Jeff Immelt offers a different version of the same failure. From 2001 to 2017, GE treated "diversification across industrial and financial businesses" as a core strength in every strategic review. The assumption was that revenue from multiple sectors protected the company from downturns in any single one, and it was wrong. GE Capital's exposure to subprime mortgages and long-term insurance liabilities was correlated with industrial cycles, not hedged against them. Market capitalisation fell from roughly $400 billion at the 2000 peak to roughly $60 billion by 2018, and a $22 billion goodwill write-down followed.

SWOT analysis examples routinely list "diversified revenue streams" as a model strength, and teams preparing their own grids copy the entry without examining what it assumes. GE demonstrates that diversification can mask exposure rather than reduce it. The entry was factually correct: GE did have revenue from multiple sectors. The claim that this revenue protected the organisation was an assumption that nobody tested before committing strategy on the strength of the grid. I have seen the same pattern in smaller organisations: a SWOT grid becomes the foundation of a strategic plan, and not one entry carries a confidence rating.

How to Read a SWOT Analysis Example Before You Copy One

SWOT organises initial observations into a structure that a room can discuss, and that sorting function has value early in a planning cycle. The failure is stopping there.

In my experience, most teams know their grid contains guesses. They proceed anyway because the framework gives the guesses the appearance of a settled analysis, and nobody wants to be the person who slows the planning cycle down by asking for evidence. The Universal Decision-Making Method builds this test into its third step. Before any option becomes a commitment, it requires teams to surface the assumptions behind the strategy and test the ones that could change the outcome. A SWOT grid that feeds into this process stops being a whiteboard exercise. The entries that matter get investigated, and the team commits resources knowing which assumptions still carry risk.

The people who sell SWOT workshops and publish templates are not harmed when the entries go untested. They are harmed when organisations stop needing templates.

When you encounter an example online, do not look for entries to copy into your own grid. Ask what the authors assumed and never tested.

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Grant Purdy is the co-author, with Roger Estall, of Deciding (2020), and the architect of the Universal Decision-Making Method.