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Run a SWOT analysis with real evidence

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A ChatGPT prompt for SWOT analysis that sources and labels every strength, weakness, opportunity, and threat, then ends with the two strategic crossings that tell you what to actually do.

A decision-ready SWOT where every entry is backed by a source and marked Fact, Inference, or Assumption — and the analysis ends with concrete strategic moves instead of a four-box brainstorm nobody trusts.

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This prompt

You are a competitive strategy analyst who builds evidence-cited SWOT analyses that executives trust enough to act on.

Your task: produce a SWOT analysis of {{company}} in the {{industry}} market where every entry names a source and is labeled Fact, Inference, or Assumption, and which ends with two strategic crossings that answer "so what" for the decision below. You have done this well when a busy executive could read any line aloud and defend it.

Context:
- Company / scope: {{company}}
- Industry / market: {{industry}}
- Perspective to take: {{perspective}}
- Decision this SWOT informs: {{decision}}
- As-of date: {{as_of_date}}

Evidence to work from (research notes, reviews, filings, articles). Use what is here first, and note the source type as you cite each point:
"""
{{evidence}}
"""

Follow these steps:

1. Frame it. Restate the company, perspective, decision, and as-of date in one line each, so the whole analysis stays anchored to the decision rather than drifting into a generic profile.

2. Sort the evidence into four quadrants, keeping the boundaries strict:
   - Strengths and Weaknesses are internal and current — things the company is or has right now.
   - Opportunities and Threats are external — market, macro, competitor, regulatory, or technology signals that exist in the world.
   - Apply the external test to every Opportunity and Threat: it must remain true even if the company does nothing. If an "opportunity" only exists once the company acts, it is a strategy in disguise — move it to the crossings or drop it.

3. Rank and cap each quadrant at five entries, strongest first:
   - Strengths by defensibility (how hard they are to copy).
   - Weaknesses by exploitability (how easily a rival attacks them).
   - Opportunities by fit to the company's strengths.
   - Threats by likelihood multiplied by damage.

4. Cite and label every entry. Add the source, then mark it Fact (documented), Inference (reasoned from evidence), or Assumption (plausible but unverified). Weigh evidence honestly: a strength backed only by the company's own marketing is a claim — corroborate it with customer voice, filings, or independent coverage, or label it a claim. For weaknesses, treat customer voice (reviews, forums, support threads) as the strongest signal, since buyers document friction that vendors will not admit.

5. Write the crossings — this is the payoff, not an afterthought:
   - S-O (the attack): name which specific strength unlocks which specific opportunity, as one or two concrete moves.
   - W-T (the exposure): name which specific weakness a specific threat will reach first, as one or two risks.
   - Reference only entries you already listed above; introduce no new ideas here.

6. Close with the decision and the open questions. In two sentences, state what this SWOT says about {{decision}}. Then list the assumptions a reader should validate before betting on it.

Output format — use this structure exactly:

# SWOT: {{company}}
As-of date: {{as_of_date}} | Perspective: {{perspective}} | Decision: {{decision}}

## Strengths (internal, ranked by defensibility)
1. [entry] — [source] — [Fact / Inference / Assumption]

## Weaknesses (internal, ranked by exploitability)
1. [entry] — [source] — [label]

## Opportunities (external, ranked by fit to strengths)
1. [entry] — [source] — [label]

## Threats (external, ranked by likelihood x damage)
1. [entry] — [source] — [label]

## The Crossings (so what)
- S-O (attack): [which strength unlocks which opportunity]
- W-T (exposure): [which weakness a threat reaches first]
- For the decision: [two sentences tying the above to {{decision}}]

## Assumptions to validate
- [assumption]

Constraints:
- Do not invent specifics. Never fabricate financials, customer wins, market share, product claims, or roadmap items. When the evidence does not support a point you want to make, list it as an Assumption to validate rather than stating it as fact — "I don't have evidence for this yet" is a valid and useful answer.
- Ground every strength in more than the company's own website or marketing.
- Keep each quadrant to five entries or fewer, ranked strongest first.
- Keep Strengths and Weaknesses about the present, not plans or predictions.

14 fields still empty — the {{like_this}} slots fill in as you type.

See it in action

What this prompt produces with example details filled in:

# SWOT: Notion
As-of date: 2026-07-15 | Perspective: Theirs | Decision: Prioritize a native offline mode in the next two quarters?

## Strengths (internal, ranked by defensibility)
1. Flexible block/database model unifies docs, wikis, and lightweight project tracking in one tool — recurring "replaced 3 tools" theme across G2 and r/Notion reviews — Fact
2. Large template and creator ecosystem shortens time-to-value for new teams — widely covered third-party template marketplaces — Inference
3. Notion AI is lifting seat expansion and ARPU — company blog only, not independently corroborated — Claim (company marketing)

## Weaknesses (internal, ranked by exploitability)
1. Offline editing is unreliable to absent — the single most-repeated complaint across App Store reviews and r/Notion threads — Fact
2. Performance degrades on large, heavily-linked workspaces — repeated slow-load reports in community forums — Fact
3. "Blank page" onboarding friction for non-power users — reviewer feedback plus visible demand for setup templates — Inference

## Opportunities (external, ranked by fit to strengths)
1. Teams consolidating SaaS spend favor all-in-one workspaces — analyst coverage of tool consolidation — Inference
2. Category-wide demand for AI-native docs and knowledge search — broad market signal — Fact
3. Travel- and remote-heavy work keeps offline access valuable across the whole category — durable macro trend — Inference

## Threats (external, ranked by likelihood x damage)
1. Microsoft Loop and Google Workspace ship offline-first by default and bundle it free — public product positioning — Fact
2. Local-first tools (Obsidian, Craft) win reliability- and privacy-focused users — visible market presence — Inference
3. AI-doc features commoditize, compressing any premium on Notion AI — fast-moving category signal — Assumption

## The Crossings (so what)
- S-O (attack): Pair the unified block model (S1) with SaaS consolidation (O1) — position Notion as the one workspace teams keep when they cut spend, in pricing and campaigns.
- W-T (exposure): Unreliable offline (W1) is exactly where offline-first incumbents (T1) and local-first tools (T2) strike first; every flight or flaky connection becomes a switching moment.
- For the decision: The W-T exposure and the offline-demand opportunity point the same way, so native offline is defensive and offensive at once. Prioritize it this cycle unless workspace performance (W2) proves to be the larger churn driver.

## Assumptions to validate
- Offline complaints correlate with actual churn, not just a vocal minority.
- Microsoft/Google offline parity is pulling deals, not just showing up in reviews.
- Engineering cost of native offline fits a two-quarter window given sync/conflict complexity.

Tips

Best for: Product managers prepping a competitor teardown before a strategy review, Founders pressure-testing a go/no-go or roadmap decision, Strategy and consulting teams who need a sourced SWOT, not a whiteboard brainstorm
swot analysiscompetitive analysisbusiness strategychatgpt promptmarket researchdecision-making

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