competitive-moat-analysis

When to use

• A strategist needs a competitor map for a market / segment — not a feature-comparison sheet, but a where-they-are-strong / where-we-are-strong / where-no-one-is read.
• A board pack or fundraise narrative claims a moat; the question is which moat, how durable, and what would erode it.
• A market-entry decision needs white-space identification — where can we win cleanly because incumbents structurally can't follow?

Do NOT use for narrative / messaging surface (route to Wing-3 positioning-strategy for the outward-facing pitch; this skill produces the internal cognition that pitch rests on), per-package adoption comparisons (route to competitive-positioning (Wing-1 package-peer comparison)), or build-vs-buy decisions (route to build-buy-partner (P1)).

Cognition cluster

• Mental model 18 — Where to play, where not to play. A moat is read as much from what we refuse to do as from what we do. Trying to win everywhere = winning nowhere. See mental-models.md § 18.
• Mental model 28 — Inversion. "What would force a customer to leave us for an incumbent?" The inversion answer surfaces the load-bearing moat assumption. If the answer is "nothing", the moat is wishful; if the answer is concrete, that's the real fragility. See mental-models.md § 28.
• Mental model 21 — Second-order thinking. Moats compound or decay; "feature parity today" says nothing about "feature parity in 18 months". Read each moat by its compounding rate, not its current state. See mental-models.md § 21.
• Context-spine — customer-segment + product + org-stage. Read customer-segment for which incumbent matters in which segment (the enterprise incumbent is rarely the SMB incumbent). Read product for which moats are real vs roadmap. Read org-stage for moat realism (pre-revenue moats are claims; growth-stage moats are evidence).

Procedure

Step 0: Frame the competitive set honestly

Most "competitor lists" are too broad. For each candidate competitor, ask:

1. Do they sell to our customer-segment slot, or an adjacent one? Different segments = different competitive set.
2. Do customers actually evaluate them against us, or are they a "we sometimes get compared" mention? Evaluation-set ≠ market-set.
3. Are they direct (same outcome) or indirect (different outcome, same budget line)? Both matter; tag which.

Output: the evaluated-against set, the adjacent set, and the indirect-budget-competitor set — three distinct lists.

Step 1: Map the moat dimensions

Pick 4–7 dimensions where moats actually live — not feature checklists. Canonical dimensions:

1. Data network effect — does data accumulated by each customer compound across all customers?
2. Two-sided network effect — does each new participant make the product more valuable to existing participants?
3. Switching cost — does integration depth, data lock-in, or workflow embeddedness raise the exit cost?
4. Distribution lock-in — do we own a channel competitors can't replicate (community, partner ecosystem, OEM)?
5. Cost-structure advantage — is our unit-economics floor structurally lower than competitors' (route to unit-economics-modeling (O1) for the read)?
6. Domain capability — proprietary algorithm, regulatory licence, certification stack, or proprietary dataset.
7. Brand / trust — only legitimate in regulated / high-stakes segments where trust is the gating factor.

Don't list dimensions where no one has a moat; those are commodities.

Step 2: Score each competitor on each dimension

For each (competitor × dimension) cell:

1. Their position — strong / moderate / weak / not-applicable.
2. Our position — same scale.
3. Evidence — file, doc, customer quote, public artifact. Cells without evidence = unknown, not parity.

The output is a matrix. Cells without evidence are surfaced, not silently called ties.

Step 3: Inspect the inversion — what would erode each moat we claim?

For each dimension where we score strong:

1. What's the technical / business mechanism that holds it?
2. What competitor move would erode it in 18 months? (new pricing model, new vertical entry, new tech wave, regulatory shift)
3. What evidence would tell us it's eroding? (leading signal, not lagging revenue)

A moat without a named erosion path is unfalsifiable — flag as "claimed-moat, unstressed".

Step 4: Identify the white-space

White-space = (segment × need) cells where no one currently has a strong position. For each:

1. Why is no one there? (capability gap, distribution gap, no incumbent has it as a focal job, regulatory complexity)
2. Is the gap durable or just slow-to-fill? (durable = structural barrier; slow = first-mover gets a 12-month window then incumbents follow)
3. Does our context-spine slot (org-stage, product, segment) let us address it?

White-space ≠ TAM; it's where we can plant a flag and defend it.

Step 5: Validate the moat read before emitting

Before producing the artifact, verify three things:

1. Evidence coverage — confirm every strong cell cites concrete evidence; uncited strong cells are demoted to claimed and must be re-run.
2. Inversion mitigation — assert that every claimed moat has a named erosion path and at least one leading signal to monitor; un-stressed moats are unfalsifiable and must be flagged.
3. White-space ≠ wishlist — check that each white-space cell has a named structural reason no one is there; un-named white-space is wishful and must be demoted.

All three must pass. If any fails, return to the failing step.

Step 6: Emit the moat read

Produce the moat-and-white-space artifact. P3 feeds P2 (market-entry-analysis) for beachhead defensibility, P4 (vision-articulation) for "why us" framing, and Wing-3 positioning-strategy for the outward-facing narrative.

Related Skills

WHEN to use this

• Internal moat reading for board, fundraise, strategy off-site.
• Beachhead defensibility check before market entry.
• White-space identification for product / segment expansion.

WHEN NOT to use this

• Outward-facing positioning narrative — route to Wing-3 positioning-strategy; P3 produces the internal read, positioning-strategy produces the external pitch.
• Package-vs-peer adoption comparison — route to competitive-positioning (Wing-1 meta).
• Build-vs-buy on a capability gap — route to build-buy-partner (P1).
• Market-entry sequencing — route to market-entry-analysis (P2); P2 composes this skill for beachhead defensibility.
• Vision narrative — route to vision-articulation (P4); P4 composes this skill for the "why us" frame.

When the agent should load this

• "Who are we actually competing with?"
• "What's our moat?"
• "Where's the white-space?"
• "What would force a customer to leave us?"
• "Wo gewinnen wir wirklich?"

Output

1. competitive-set.md — evaluated-against / adjacent / indirect-budget lists, each named with one-sentence rationale.
2. moat-matrix.md — competitor × dimension grid; evidence-cited cells; unknowns surfaced.
3. moat-stress-test.md — for each claimed moat: erosion path, leading signals, falsifiability flag.
4. white-space-map.md — (segment × need) cells no one owns; durability tag; addressability check against context-spine.

Gotcha

• "Brand" as a moat is rarely real outside regulated / high-trust segments. Be skeptical.
• "Feature parity" today is not a moat read; it's a snapshot. Read the compounding rate.
• White-space without a named structural reason no one is there = wishlist. Push back hard on un-named white-space.
• The competitive set is usually too broad. Most "competitors" don't show up in customer evaluation sets.

Do NOT

• Do NOT treat feature lists as moat dimensions; moats live in compounding / lock-in / structural-cost dimensions.
• Do NOT call cells parity when there's no evidence — surface as unknown.
• Do NOT claim a moat without a named erosion path and leading signals.

Runnable example

Series-B vertical SaaS in healthcare scheduling.

• Step 0 — Evaluated-against: 2 vertical incumbents + 1 horizontal scheduling tool. Adjacent: 3 general-purpose calendar SaaS (different segment). Indirect: in-house clinic-management software custom builds.
• Step 1 — Dimensions: switching cost (workflow embeddedness), domain capability (HIPAA + state-licensure handling), distribution lock-in (EHR-integration partnerships), cost-structure, data network effect.
• Step 2 — Matrix scored with evidence: we score strong on domain capability (HIPAA certs + 50-state licensure rules) and switching cost (24-month deployment investment); incumbent A strong on distribution (5 EHR integrations); horizontal tool weak across all healthcare dimensions.
• Step 3 — Erosion path for switching-cost moat: "incumbent A ships migration-tooling that cuts switch cost by 70 %." Leading signal: incumbent A hiring senior eng for "migration platform."
• Step 4 — White-space: mid-size dental specialty groups (50–200 providers); incumbents focus on hospitals (too small) or solo practitioners (margin too thin). Structural reason: regulatory complexity per state × dental-specialty workflows mean horizontal tools don't customize enough; hospital-focused incumbents won't down-segment.
• Step 5 — Validate: every strong cell evidence-cited; switching-cost moat has erosion path + leading signal; white-space has structural reason. Pass.
• Step 6 — Emit moat-and-white-space artifact; P2 composes it for the dental-specialty beachhead defensibility read.