How to Do SWOT Analysis | 5 Steps and Examples Complete Guide
"I don't know how to actually do SWOT analysis," "We filled in the four boxes but it never connects to strategy," "Even after seeing examples I can't apply it to my own company"—even though SWOT analysis is widely known by name, surprisingly few organizations are running it well in practice. In corporate strategy, marketing planning, and new business development, teams routinely fill in the four quadrants and stop there.
This article is for executives, business leaders, marketing leads, and corporate strategy professionals searching for "how to do SWOT analysis." We start with a refresher on the structure, then walk through five practical steps (defining purpose and scope, mapping the external environment, mapping the internal environment, prioritizing the four quadrants, and translating findings into strategy via cross-SWOT) along with industry examples. We also cover writing templates, common operational pitfalls and remedies, and how to make SWOT data-driven. By the end, you should be ready to run a SWOT analysis from start to finish in your own organization.
Before diving into individual steps, confirm the overall flow of SWOT analysis and prepare what you need before you begin. Without proper preparation, the quality of the discussion drops sharply once you start working through the steps.
SWOT analysis is a framework that organizes the current state of an organization or business along four elements: Strengths, Weaknesses, Opportunities, and Threats. It is structured as a four-quadrant matrix with internal versus external factors on one axis and positive versus negative factors on the other. The fundamental distinction is that internal factors are "things you can change" and external factors are "things you cannot change"—getting this clear up front determines the precision of every step that follows. The real purpose of SWOT analysis is not to fill in the four quadrants but to feed the cross-SWOT step (SO, ST, WO, WT strategies) and translate findings into concrete strategy and action. Keep that final goal—an action plan—in mind as you learn the procedure.
To run SWOT analysis smoothly, prepare three things in advance. First, the basic data on the business or unit being analyzed: revenue, costs, customer counts, and market share for the past one to three years; the trajectory of key KPIs; customer survey results; turnover; hiring numbers—all consolidated into a single document. Second, a list of external information sources: industry reports, competitor IR materials, third-party research, government statistics, Google Trends, social listening results, and other reliable primary and secondary sources organized in advance. Third, a workspace for the discussion: whiteboards and sticky notes for in-person sessions, or collaborative tools like Miro, FigJam, or Notion for remote ones. Without these in place, discussions stall while people "go fetch the data," participants lose focus, and analytical quality suffers.
The time required varies with the depth of the analysis. The minimum is a half-day to one-day workshop that runs from purpose-setting through cross-SWOT in a single sprint—sufficient for confirming direction at the divisional level. A medium-scope effort takes one to two weeks, including pre-workshop data collection, the workshop itself, post-workshop synthesis, and executive review—the standard cadence for medium-term plans and marketing strategy formulation. For full-scale operation, treat SWOT as a living document and review it semi-annually or quarterly. Manage it in a continuously editable tool such as Notion, Confluence, or Google Docs, and add a "SWOT change-point review" as a standing item on executive or strategy review meetings. This approach is especially effective in fast-moving environments.
Of the five steps, this is the one that most determines final quality. It looks understated, but the care you take here translates directly into productivity in every later discussion.
Start by articulating the purpose of the SWOT in a single sentence. Examples include "We want to set the direction of our medium-term plan," "We need to decide whether to enter a specific market," or "We want to identify the priority investment areas for next year's marketing budget." Be explicit about what decision the analysis is meant to support. If you start with "let's just do a SWOT," the granularity and perspective of the items will diverge and you will not be able to land on an action plan. In practice, write "Purpose of this SWOT: ◯◯" in large type on the first slide of the workshop and keep returning to it whenever the discussion drifts.
Next, decide the unit of analysis. The same SWOT exercise will produce very different strengths and weaknesses depending on whether you are analyzing the entire company, a specific business unit, a particular product, or a target market. "Strengths of the entire company" and "strengths of business unit A" are different things, and confusing them derails the discussion. Define scope using four elements: target business, target market, target customer segment, and time horizon. For example: "Subject: BtoB SaaS new product X / Market: mid-sized Japanese firms (300–1,000 employees) / Customer: heads of marketing departments / Horizon: next three years." That level of specificity makes it easy to filter out items like "that's a company-wide strength, not a strength of this product."
The quality of a SWOT analysis is largely determined by the composition of the participants. Running it with executives only produces an analysis that lacks ground-level reality; running it with the front line only produces one that lacks strategic perspective. Ideally, assemble a cross-functional group of five to ten people including executives, business leaders, front-line leads, marketing, sales, customer success, and data analytics. Bringing in outside perspectives via consultants, advisors, key customers, or partner companies is also effective. Too many participants, however, dilutes the discussion, so consider splitting into a core team that runs the discussion and an extended team that reviews the output. Designating a clear facilitator to drive progress and enforce category distinctions also significantly improves productivity.
The recommended way to do SWOT analysis is to start with the external environment (O and T). Starting with the inside narrows your field of view to the present situation and causes you to overlook important external opportunities and threats.
When mapping the external environment, the PEST framework (Politics, Economy, Society, Technology) ensures comprehensive coverage. Under Politics: industry regulation, tax policy, subsidies, geopolitical risk, trade policy. Under Economy: business cycles, foreign exchange, interest rates, consumption trends, industry growth rate. Under Society: demographics, lifestyle changes, value shifts, sustainability. Under Technology: tech trends in AI, cloud, mobile, sensors; emergence of competitors or substitute technologies; patent activity. For each category, brainstorm 15–30 "events that affect the industry" first, then split them into "opportunities" (positive for your business) and "threats" (negative for your business). If you start sorting opportunities versus threats too early, you will narrow the field prematurely; surface events first, then categorize.
Once PEST has covered the macro environment, use Five Forces to add threats rooted in industry structure. The five forces are: rivalry within the industry, threat of new entrants, threat of substitutes, buyer (customer) bargaining power, and supplier bargaining power. In BtoB SaaS, for example, you might surface threats such as feature-expansion arms races and price competition (rivalry), entry by hyperscaler platforms (new entrants), in-house builds or spreadsheet workarounds (substitutes), tougher purchasing committees (buyer power), and rising cloud infrastructure costs (supplier power). Five Forces captures the "intra-industry dynamics" that PEST tends to miss, making it indispensable in highly competitive industries. Using both frameworks together minimizes blind spots in your external environment scan.
The quality of external analysis is determined by the quality and breadth of your sources. Primary sources are information you collect directly: customer interviews, voices from the sales floor, support ticket trends, original surveys—strong for hypothesis testing and ground-truth verification. Secondary sources are external information: industry reports (Yano Research Institute, Fuji Keizai, ICT Research Institute, etc.), market research firms (Nielsen, GfK, MMD Research, etc.), government statistics (METI, MIC, Cabinet Office), competitor IR and earnings materials, news, trade press, Google Trends, social listening, and SEO / advertising data (Ahrefs, Semrush). Primary sources alone narrow your view; secondary sources alone strip out ground reality. Combining them is essential. Note your sources in the analysis document so participants can later check "what's the basis for this opportunity"—this dramatically improves reproducibility.
To make this concrete, take a fictional mid-sized BtoB SaaS company (a marketing measurement platform). For opportunities, we identified: (1) Japanese marketing-DX investment growing at roughly 10% annually, (2) sharp rise in demand for first-party data and MMM driven by third-party cookie regulations, (3) high expectations for AI-powered automation of analytics, (4) inbound interest from major agencies seeking data integration partnerships, and (5) growing attention to domestic alternatives as overseas SaaS providers raise prices. For threats, we identified: (1) feature expansion by hyperscaler platforms (Google, Adobe, etc.), (2) Japan entry by all-in-one MA tools from overseas, (3) marketing budget cuts driven by economic downturn risk, (4) tighter privacy regulation (revisions to Japan's Act on the Protection of Personal Information), and (5) intensifying competition for skilled data engineers. Annotating each item with "timing of impact" and "impact magnitude" (high / medium / low) makes prioritization easier in later steps.
With the external picture in hand, identify your strengths and weaknesses. Rather than listing "things we're good at" subjectively, always include competitor and customer perspectives—this is the key to making SWOT actually usable in practice.
For internal-environment scanning, the "Company" lens of 3C analysis (Customer, Competitor, Company) and the activity categories of value chain analysis (primary: inbound logistics, operations, outbound logistics, sales and marketing, service / support: procurement, technology development, HR, general management) ensure broad coverage. Inventory your resources across five categories: people (headcount, skills, talent portfolio), products (offerings, equipment, locations), capital (financial strength, cash flow, capital structure), information (customer data, know-how, brand), and organization (culture, decision-making speed, team structure). Surface 20–30 attributes per category, then judge each as "strength," "weakness," or "neutral."
The two most important axes for judging strengths and weaknesses are "relative comparison with competitors" and "value seen from the customer." Relying on internal opinion alone leads to traps where "what we are good at" is something customers do not value, or where "we feel we have an edge over competitors" is actually parity. In practice, identify the top three to five competitors and build a comparison table for each attribute, scoring "us / Competitor A / Competitor B / Competitor C" on a three- or five-point scale. If you stand out as higher, it is a strength; if lower, a weakness; if comparable, neutral. Then cross-reference each attribute with customer survey results or NPS data and split items into "genuine strengths where customers value our edge" and "vanity strengths where customers don't care." That distinction sharpens the SWOT into something genuinely useful for strategy formulation.
To pinpoint which strengths are sources of sustainable competitive advantage, VRIO analysis is highly effective. VRIO evaluates each strength against four criteria: Value (economic value), Rarity, Imitability, and Organization (whether the company is set up to exploit the strength). Value asks "does this strength translate into customer value or revenue," Rarity asks "is this strength scarce or absent in competitors," Imitability asks "is it costly and time-consuming to imitate," and Organization asks "is the organization equipped to leverage this strength strategically." Yes on all four indicates sustainable competitive advantage; through Imitability indicates temporary advantage; through Rarity indicates competitive parity; Value alone indicates competitive disadvantage. Tagging strengths with VRIO assessments makes it easier to choose which strengths to anchor SO strategies on in the cross-SWOT step.
Continuing with the fictional BtoB SaaS marketing measurement company, for strengths we identified: (1) ten data-science professionals with deep statistical-modeling expertise—rare in the industry (VRIO: sustainable advantage); (2) high enterprise customer loyalty with 95% retention and NPS of +45; (3) a track record of direct data integrations with major Japanese agencies; (4) an in-house MMM algorithm that does not depend on third-party cookies; and (5) healthy financials enabling long-term investment. For weaknesses we identified: (1) low brand awareness in the SMB segment (5% share of branded search); (2) thin self-serve features, requiring high-touch deployment; (3) absence of global talent for international expansion; (4) a dated UI that looks behind modern SaaS standards; and (5) a sales organization heavily skewed toward enterprise, weak at acquiring mid-sized firms. Annotating each item with the competitor comparison rationale and customer survey reference lets the team verify the basis instantly during later discussions.
Items you have surfaced are not yet usable for strategy if you simply list them. Prioritize and narrow to top items so the SWOT graduates from "discussion memo" to "decision-grade material."
Aim to narrow the 10–30 items per quadrant down to three to five. Use two criteria. First, business impact—the effect on revenue, profit, and customers. Second, feasibility or likelihood of materialization—how likely an opportunity or threat is to materialize, or how realistically a strength or weakness can be activated or fixed. Items with both high impact and high likelihood are top priority; high-impact, low-likelihood items go on the watch list; low-impact items are typically removed. Run the narrowing process via show-of-hands or dot voting (each participant places three stickers on the most important items)—it captures subjective judgment in a transparent way and produces results everyone can support.
To visualize the narrowing process, build a 2x2 matrix per quadrant with impact (large / medium / small) on the horizontal axis and feasibility / likelihood (high / medium / low) on the vertical axis, then place each item using sticky notes. Items in the upper right (high impact, high likelihood) are top candidates; lower right (high impact, low likelihood) goes on the watch list; upper left (low impact, high likelihood) becomes short-term tactical action; lower left (low impact, low likelihood) is typically out of scope. Letting workshop participants move sticky notes on this matrix together makes prioritization visual and accelerates consensus dramatically.
Continuing the BtoB SaaS example, the four quadrants narrow to: strengths—"data-science talent / enterprise retention and NPS / direct agency integrations / cookie-independent MMM algorithm" (4 items); weaknesses—"low SMB awareness / thin self-serve features / absence of global talent / sales organization skew" (4 items); opportunities—"marketing-DX investment growth / surge in MMM demand from cookie regulation / inbound agency partnerships / interest in domestic alternatives as overseas SaaS raises prices" (4 items); threats—"feature expansion by hyperscalers / all-in-one MA entry / budget cuts from a downturn / data-engineer hiring competition" (4 items). Annotate each with "impact: large / medium / small" and "likelihood: high / medium / low" so they can serve as inputs to the cross-SWOT step.
This step is the culmination of the how-to. Multiply the four quadrants to derive four types of strategies, and ultimately translate them into action plans complete with KPIs.
SO strategies (Strengths × Opportunities) use your strengths to capture external opportunities and pursue offensive growth. The trick to writing them is a single-sentence template: "Use [strength ◯◯] to capture [opportunity ◯◯] and achieve [target outcome]." Applied to the BtoB SaaS example: "Use our cookie-independent MMM algorithm (strength) to capture the surge in MMM demand driven by cookie regulation (opportunity), launch an MMM-specialized product for enterprises, and reach 1 billion JPY in annual revenue within three years." Because SO strategies should prioritize the highest-return combinations, list every strength × opportunity intersection first, then narrow to two or three candidates with the largest expected three-year impact.
ST strategies (Strengths × Threats) use your strengths to push back against external threats. The template is: "Use [strength ◯◯] to minimize or neutralize [threat ◯◯], and protect or achieve [target result]." In our BtoB SaaS example: "Use our high enterprise retention and NPS (strength) against feature expansion by hyperscaler platforms (threat) by differentiating through data integration and high-touch enablement, and keep our existing-customer churn rate below 3%." The key mindset is to push threats back with strengths rather than merely avoid them. The new value propositions you create in response to threats often become new strengths in their own right.
WO strategies (Weaknesses × Opportunities) reinforce weaknesses so you do not miss opportunities. The template is: "Address [weakness ◯◯] with [reinforcement plan], capture [opportunity ◯◯], and achieve [target outcome]." For BtoB SaaS: "Address our thin self-serve feature set (weakness) with a PLG-style UX overhaul and external partner integrations, capture marketing-DX investment growth (opportunity) reaching into the mid-sized firm segment, and create 500 million JPY in new ARR from the SMB and mid-market segments within two years." Because WO strategies require upfront investment with delayed payoff, executive commitment and a medium-term horizon are essential. Writing the reinforcement plan as a concrete project makes the later transition into an action plan smoother.
WT strategies (Weaknesses × Threats) are defensive moves to minimize damage where weaknesses and threats overlap. The template is: "For [area] where [weakness ◯◯] meets [threat ◯◯], adopt a [retreat / avoidance / contraction / partnership] approach to minimize [risk impact]." For BtoB SaaS: "For overseas markets where the absence of global talent (weakness) meets entry by overseas all-in-one MA platforms (threat), forgo solo expansion and concentrate on deepening the domestic market; address overseas opportunities through local partner-led models, capping risk exposure at 300 million JPY." WT strategies are psychologically hard to write and tend to be deferred due to sunk-cost bias, but "deciding what not to do" frees up resources for other strategies.
Once cross-SWOT has produced four strategies, decompose each into actionable steps with measurable KPIs. The minimum elements of an action plan are six: (1) what (specific initiative), (2) who (owner), (3) by when (deadline), (4) with what budget (investment), (5) what to measure (KPI), and (6) what target value indicates success. For the SO example above: "Develop the MVP of the MMM-specialized product by Q3 2026 with a five-person CTO-led team, target 80 million JPY in initial investment and 100 million JPY in first-year ARR. KPIs: opportunities (50 / month), win rate (25%), average ARPU (2 million JPY / year)." Only when you reach this level of specificity does SWOT analysis become a real driver of management decision-making and execution.
Below are template formats and industry examples to use as starting points when you actually sit down to write a SWOT. Treat them as drafts you can copy and adapt.
The standard template is a single landscape page with the four quadrants laid out as a matrix. The conventional placement is Strengths in the upper left, Weaknesses in the upper right, Opportunities in the lower left, and Threats in the lower right. Each cell should have fields for: (1) item title (10–30 characters), (2) supporting data or rationale (with numbers and source), (3) impact rating (large / medium / small), and (4) priority (1–5). In the margins, note the analysis subject, date, owner, and next review date so the freshness of the document is easy to assess later. Standardizing templates across Notion, Google Sheets, PowerPoint, and Miro makes cross-divisional comparison and executive sharing painless.
Industry-specific examples to illustrate. For BtoB SaaS: strengths might include "proprietary algorithm" and "enterprise customer base"; weaknesses include "weak SMB awareness" and "sales-organization skew"; opportunities include "DX investment growth" and "regulatory shifts"; threats include "hyperscaler entry" and "talent competition." For e-commerce: strengths typically include "product-review assets" and "high repeat rate"; weaknesses, "sensitivity to logistics cost increases" and "ad dependency"; opportunities, "cross-border e-commerce growth" and "adoption of video commerce"; threats, "price cuts by major platformers" and "retargeting becoming harder due to cookie regulation." For restaurants: strengths often include "location" and "loyal regulars"; weaknesses, "staff retention" and "a ceiling on average ticket"; opportunities, "inbound tourism recovery" and "delivery demand"; threats, "rising labor and ingredient costs" and "new openings of nearby competitors." Knowing the typical lenses by industry makes it easier to avoid blind spots in your own analysis.
Three tips for raising the quality of what you put into the template. First, back every item with numbers or concrete facts. Instead of "strong sales force," write "45% senior sales reps, 35% large-deal win rate (industry average 22%)." Second, keep item titles at a length where the meaning is clear at a glance—roughly 10–30 characters. Too short loses meaning; too long loses scannability. Third, balance the number of items across the four quadrants. Listing ten strengths and only two weaknesses tilts the discussion and signals self-favoring evaluation. Aim for three to five items per quadrant; that balance produces material that is both objective and comprehensive.
Even when you understand the procedure, you will hit walls in actual practice. Below are three of the most commonly heard issues and the corresponding remedies.
It is common for the four quadrants to stay sparsely filled even after the workshop starts. The root cause is usually inadequate preparation in steps 1–2 or fixed perspectives among participants. Three remedies. First, apply PEST, Five Forces, 3C, and VRIO sequentially to forcibly shift perspective. Second, run a role-play exercise where participants think as "the customer," "a competitor's CEO," or "our company five years from now" to break out of fixed mindsets. Third, augment with primary data—interviews with outside experts, customers, or former employees—to enrich the discussion material. As a last resort, refer to competitor IR materials or industry reports during the workshop and use the external view to restart the conversation.
Sometimes the discussion stalls because opinions diverge. The cause is usually that step 2 onward proceeded without a clear purpose and scope, or that there is no mechanism to integrate different viewpoints. Remedies: First, return to step 1's purpose and scope and ask, "What are we discussing this for, again?" Second, use dot voting (each person places three to five stickers on the most important items) or anonymous polls to make opinions quantifiable, shifting the conversation from emotion to fact. Third, where opinions remain split, record both views ("both positions noted") and let executives decide later based on data. Rather than chasing full consensus in a single workshop, design for staged convergence across multiple sessions.
Another classic issue is the SWOT artifact going stale because no one updates it. The remedy is to design from the start for SWOT to be operated as a living document rather than a one-off deliverable. Concretely: (1) lock semi-annual or quarterly review meetings into the calendar; (2) add a "SWOT change-point review" as a standing agenda item in executive and strategy review meetings; (3) manage the document in a collaborative tool such as Notion or Confluence with an audit log of edits; and (4) document the rule that significant external shifts (regulatory changes, major competitor moves, technology breakthroughs) trigger ad-hoc updates. Capturing these as a one-page "SWOT operating rules" document and sharing it with stakeholders prevents the practice from depending on any single person.
Applying the SWOT how-to to marketing and performance-measurement domains gains a lot when paired with quantitative data, raising precision substantially.
In digital marketing, ground SWOT in actual data from Google Analytics 4, Search Console, and ad platforms when assessing strengths and weaknesses. Before writing "content assets are a strength," check Search Console to see how your organic traffic compares with the industry baseline and which top-ranking keywords are genuinely ahead of competitors. If "ad efficiency" is a weakness, compare CPA and ROAS across Google Ads and Meta Ads against industry benchmarks to back the claim quantitatively. Likewise for opportunities and threats: confirm trend changes for related keywords in Google Trends, or detect competitor SEO shifts in Ahrefs or Semrush. The result is analysis grounded in numbers rather than gut feel.
A more advanced approach is to integrate SWOT with marketing mix modeling (MMM) and attribution analysis—an emerging standard among data-driven digital marketing leaders. MMM statistically estimates each channel's contribution from historical advertising spend and revenue, providing quantitative evidence for the strengths (which channels work efficiently) and weaknesses (which channels underperform on ROI) within the SWOT. Attribution analysis evaluates touchpoints leading to conversion, helping surface opportunities such as new channels that are working well as first-touch drivers. As cookie regulations tighten in 2026, MMM that does not depend on third-party cookies has gained importance, and the integrated SWOT × MMM approach has become a key enabler of data-driven management.
The standard procedure for SWOT analysis is five steps: (1) decide purpose, scope, and participants; (2) map the external environment (opportunities and threats); (3) map the internal environment (strengths and weaknesses); (4) organize the four quadrants and set priorities; and (5) translate findings into strategy and action plans via cross-SWOT. Leave behind a deliverable at every step, combine SWOT with complementary frameworks like PEST, Five Forces, 3C, and VRIO, and use quantitative data to compensate for subjectivity, and the precision and credibility of the analysis improve dramatically.
The three points to drill in for real practice. First, articulate purpose and scope in a single line; this determines the precision of every subsequent step. Second, analyze the external environment before the internal one; widening the lens before looking inward prevents you from missing opportunities. Third, always continue through cross-SWOT and into KPI-bearing action plans; this is the single biggest defense against "analyzed but never acted on."
When learning from examples, regardless of industry, three writing tips lift the quality of the template output: back items with numbers or concrete facts, keep titles at 10–30 characters where meaning is clear at a glance, and balance the number of items across the four quadrants. Common workshop issues—items not surfacing, discussions not converging, updates not continuing—are also preventable through deliberate facilitation design and operating rules.
If you want to put SWOT to work in the digital domain, ground strengths and weaknesses with data from GA4, Search Console, and ad platforms, and quantify down to the channel level using marketing mix modeling (MMM) and attribution analysis. Strategic decision-making becomes substantially more precise. NeX-Ray provides infrastructure that supports each quadrant of the SWOT with data, including next-generation MMM and attribution analysis that work even under cookie restrictions.
SWOT analysis is not a framework where you fill in four boxes and stop—it is a powerful tool for driving strategic conversations across the organization. Use the five steps, examples, templates, and writing tips in this article as a foundation for putting SWOT into real practice in your corporate strategy, marketing strategy, and new business planning.
A comprehensive guide to SWOT analysis for executives, business owners, marketing leads, and corporate strategy professi...
A complete guide for web managers, SEO specialists, and engineers searching "robot.txt" or "robots.txt": fundamental con...
A complete guide for executives, marketing leaders, and owned media managers searching "owned media ROI" or "owned media...
