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/market-landscape-scan

@eb7a51e

Map a market's segments, players, substitutes, and whitespace with cited evidence. Use when entering or re-evaluating a market before sizing, positioning, or picking competitors to study.

Use this Skill: https://skilld.dev/gh/deanpeters/product-manager-skills/market-landscape-scan

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examplessample.md

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Market Landscape Scan — Worked Example

All companies, products, URLs, and figures below are fictional, invented to show the schema doing its job. The same fictional market — field service management (FSM) software for mid-market trades — runs through the examples of the whole chain: this scan feeds the competitive-research-snapshot example, which feeds competitive-intel-watch, which feeds battle-card-builder. Read them in order to see how a stable schema lets each skill consume the prior one's output.

Invocation: Run a market landscape scan on field service management software for mid-market trades (HVAC, plumbing, electrical), North America — this supports a decision on whether Fieldlight expands from scheduling into full FSM.


Market Landscape Snapshot

1. Scope

Market / problem space: software that runs a trades business's day — scheduling, dispatch, quotes, invoicing ("field service management" is the vendor term; owners say "the thing that runs my board") Boundary: North America; companies with 10-200 technicians Decision supported: whether Fieldlight expands from scheduling-only into full FSM As-of date: 2026-06-15

2. How This Market Segments

  • Owner-operators graduating off paper (10-30 techs): buy on price and setup time; churn when the software demands a back-office they don't have — Inference (review mining: setup complaints cluster under 30 techs; reviews roundup)
  • Dispatch-led shops (30-100 techs): a full-time dispatcher is the real user; buy on board speed and tech-app adoption — Fact (trade association survey, Apr 2026)
  • Multi-branch operators (100-200 techs): buy on reporting and payroll integration; often run two systems during M&A — Inference (job postings at acquirers list dual-system admin roles)
  • Vendor/buyer disagreement: vendors segment by trade vertical (HVAC vs. plumbing editions); buyers in owner forums segment by whether they employ a dispatcher — Fact (forum thread, May 2026). The vertical editions are packaging, not market structure.

3. Player Map

Direct players

  • Wrenchline: the incumbent; serves dispatch-led and multi-branch shops; wedge is depth (payroll, inventory, fleet); momentum signal: 14 years of trade-show sponsorships but hiring slowed to backfill-only — Fact (careers page, Jun 2026)
  • Vantiga FSM: enterprise suite player moving downmarket; wedge is the parent suite's ERP tie-in; momentum: launched a "Vantiga Go" mid-market tier in March — Fact (press release)

Adjacent players (could enter)

  • General scheduling tools (incl. Fieldlight today): already own the calendar; adjacency matters because the scheduling wedge is how DispatchCrow entered — Fact (their own origin story, about page)

Substitutes and non-consumption

  • Whiteboard + phone + group text: persists because the dispatcher can see the whole day at once and nothing beats a phone call for a same-day change; strongest in the 10-30 tech segment — Inference (forum polls; no vendor admits to competing with a whiteboard, all of them do)
  • Spreadsheets + generic invoicing apps: the graduation path off paper; persists because it's free and the owner already knows it

Emerging entrants

  • DispatchCrow: entered via scheduling two years ago, now shipping quoting and payments; bet: owner-operators will buy one cheap tool that grows with them; traction signal: Series A announced Jan 2026 — Fact (funding coverage)

4. Dynamics

  • Where the money is: dispatch-led shops carry the highest willingness-to-pay (per-tech pricing tolerated at 3-4x the owner-operator rate) — Inference (published pricing tiers across 6 vendors); payments attach is where vendors expand revenue without raising sticker price — Fact (two vendors' earnings language cites "payments attach rate"; investor deck)
  • Where the momentum is: the low end — owner-operator tools adding features monthly while incumbent release notes slow — Fact (changelog cadence comparison, Jan-Jun 2026); tech-app quality is the new battleground — Inference (review complaints shifted from "missing features" to "my techs won't use it")
  • Consolidation or fragmentation: consolidating at the top (two acquisitions in 18 months), fragmenting at the bottom — Fact (acquisition coverage)
  • Technology or regulatory shifts in play: AI-drafted quotes appearing in two products' betas — Fact (both changelogs); contractor-classification rules could reshape how techs are scheduled — Assumption (proposed rule, not final)

5. Whitespace and Dead Zones

  • Nobody serves the 10-30 tech segment with real dispatch tooling: opportunity or dead zone? Two prior entrants targeted it and moved upmarket within two years — Fact (postmortem interview); but both cited acquisition cost, not absent demand — Inference (founder cites CAC, not churn). Verdict: conditional whitespace — viable only with a self-serve motion. Assumption to validate: this segment will self-onboard without a sales call.
  • No incumbent has a credible offline mode for rural crews: opportunity or dead zone? Review complaints exist but cluster in a small minority of shops — Fact (9 of ~400 mined reviews). Verdict: likely dead zone as a wedge; table stakes at most.

6. So What?

  • Implications for the decision in Scope:
    1. Fieldlight's scheduling wedge is the proven entry path into FSM — DispatchCrow just walked it — Fact (their trajectory), confidence: high
    2. Expanding puts Fieldlight into direct contact with Wrenchline in the dispatch-led segment, where depth matters and Fieldlight has none yet — Inference, confidence: high
    3. Payments attach, not per-seat price, is where the expansion pays back — Inference (vendor economics above), confidence: medium
  • Players to deep-dive next: Wrenchline (the incumbent Fieldlight would collide with), DispatchCrow (the entrant running Fieldlight's own playbook, two years ahead)
  • Assumptions to validate:
    1. Fieldlight's current customers want quoting/invoicing from us rather than their accounting tool
    2. The 10-30 tech segment self-onboards without sales assist
    3. Wrenchline's slowed hiring signals retrenchment rather than efficiency

Why this example works

  • The vendor/buyer disagreement is load-bearing. The whole expansion decision reframes once you see buyers segment by "do we employ a dispatcher," not by trade vertical. That one bullet is worth more than the player map — and it came from a forum thread, not an analyst quadrant.
  • Non-consumption got a real entry. The whiteboard is Wrenchline's biggest competitor and Fieldlight's too; omitting it would have made the market look more penetrated than it is.
  • Both whitespace claims faced the dead-zone test, and they resolved differently. One survived conditionally (with the condition named as an assumption to validate); one was honestly called a dead zone. An example where every gap is an "opportunity" would be teaching the pitch, not the scan.
  • Section 6 hands off cleanly. The two deep-dive players are exactly what the competitive-research-snapshot example picks up next.

Source: SKILL.md on GitHub

1 warning2mo3 checks · Risk SAFE
  • Gen Agent Trust Hub2mo

    The skill provides a structured framework for market landscape analysis using public intelligence sources. It emphasizes evidence-based reporting and includes measures to prevent fabrication and hallucination.

  • Socket2mo

    No alerts

  • Snyk2mo

    Risk: MEDIUM · 1 issue

Signed by skilld at eb7a51e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last month.

Activeupdated 3 months ago
argument-hint
[market or problem space, and the decision it supports]
type
workflow
theme
market-intelligence
Other metadata
intent
Autonomous market discovery: map how buyers segment the market, who plays where (direct, adjacent, substitutes, emerging), where the money and momentum are, and whether apparent whitespace is opportunity or dead zone — with labeled evidence, so sizing and positioning start from structure instead of vibes.
best_for
[
  "Mapping who plays in a market before committing to enter or re-position",
  "Scoping a new product line with a defensible view of segments and substitutes",
  "Producing the landscape view that feeds TAM/SAM/SOM sizing and competitor deep-dives"
]
scenarios
[
  "We're considering a move into contract-analytics tooling — map that market for me",
  "My exec team keeps citing an analyst quadrant; show me how buyers actually segment this space"
]
estimated_time
20-40 min per run

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