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/competitive-research-snapshot

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Research a competitive landscape with cited snapshots, a comparison matrix, and so-what implications. Use when a product decision needs competitive grounding, not a market report.

Use this Skill: https://skilld.dev/gh/deanpeters/product-manager-skills/competitive-research-snapshot

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examplessample.md

≈1.8k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Competitive Research Snapshot — Worked Example

All companies, products, URLs, and figures are fictional. This example continues the scenario from market-landscape-scan/examples/sample.md: Fieldlight, a scheduling tool for trades businesses, is deciding whether to expand into full field service management (FSM). The landscape scan named two deep-dive players — Wrenchline and DispatchCrow — and this snapshot picks them up, adding Vantiga FSM because its downmarket move touches the same buyers. The output below becomes the baseline that the competitive-intel-watch example diffs against.

Invocation: Competitive research snapshot for Fieldlight — decision: does the FSM expansion lead with quoting or with dispatch? Competitors: Wrenchline, DispatchCrow; landscape scan from June 15 is in session.

Note what the skill did with that invocation: all three budget questions were answered inline, so it asked nothing and went straight to the search plan. It also credited the landscape scan instead of re-researching the market structure.


Competitive Research Snapshot

1. Scope

Company/product: Fieldlight (scheduling for trades businesses, expanding toward FSM) Category: field service management for mid-market trades Decision supported: whether the FSM expansion leads with quoting or with dispatch Competitors analyzed: Wrenchline (incumbent we'd collide with), DispatchCrow (running our playbook, two years ahead), Vantiga FSM (enterprise suite moving downmarket into the same buyers) As-of date: 2026-06-28

2. Competitor Snapshots

Competitor: Wrenchline

  • Positioning: "the operating system for the trades" — Fact (homepage, Jun 2026)
  • Relevant capability: dispatch board with capacity planning; the deepest in category per reviewer consensus — Fact (review site category report)
  • Likely strength: switching costs — payroll, inventory, and fleet modules make it the system of record; multi-year contracts standard — Fact (pricing page, contract terms listed)
  • Likely weakness: tech-app adoption; "my techs won't use it" is the largest complaint cluster, 40+ reviews since January — Inference (review mining; no adoption data published)
  • Key source URL: pricing page

Competitor: DispatchCrow

  • Positioning: "the first tool a growing shop buys, the last one it outgrows" — Fact (homepage, Jun 2026)
  • Relevant capability: shipped quoting in November, payments in April — expansion sequence was quote → invoice → payments, not dispatch — Fact (changelog)
  • Likely strength: self-serve onboarding; free tier to 5 techs, no sales call below 30 — Fact (pricing page)
  • Likely weakness: dispatch depth; their board lacks capacity planning and reviewers switching upmarket cite it — Inference (feature absence is Fact per docs; that it drives churn is inferred from 6 switching reviews)
  • Key source URL: changelog

Competitor: Vantiga FSM

  • Positioning: "field service, connected to the business" (ERP tie-in) — Fact (product page, Jun 2026)
  • Relevant capability: "Vantiga Go" mid-market tier launched March — Fact (press release)
  • Likely strength: wins where the buyer already runs the Vantiga suite — Assumption (their claim; no independent mid-market win evidence found)
  • Likely weakness: implementation weight; only two Go-tier reviews exist and both mention implementation partners — Inference (thin evidence, noted)
  • Key source URL: product page

3. Quick Comparison

Dimension Fieldlight Wrenchline DispatchCrow Vantiga FSM
Target customer shops of 10-100 techs (scheduling-led) dispatch-led and multi-branch, 30-200 owner-operators, 5-50 Vantiga-suite accounts trying mid-market
Core use case scheduling and the day board full back office for the trades grow-with-you toolkit field service inside the ERP
Main strength tech-app adoption (our reviews) depth and switching costs self-serve motion suite tie-in
Main weakness no quoting/invoicing yet tech-app adoption dispatch depth implementation weight
Evidence quality high (own data) high high low — mostly their own marketing

4. So What?

  • Product strategy implications:
    1. Lead with quoting, not dispatch: DispatchCrow's quote → payments sequence is a proven expansion path for a scheduling-led product, and dispatch is where Wrenchline is strongest — Inference (their changelog trajectory + Wrenchline's review moat), confidence: high
    2. Our tech-app adoption strength attacks Wrenchline's largest complaint cluster — the wedge writes itself, but only in dispatch-led shops, which we reach after quoting funds the roadmap — Inference, confidence: medium
    3. Vantiga Go is not a near-term threat to our segment — Assumption to validate (evidence quality low; revisit when independent reviews exist), confidence: low
  • Competitive risks:
    1. DispatchCrow adds capacity planning before we ship quoting, closing their gap while we open ours — Assumption, watch their changelog
    2. Wrenchline bundles a "lite" tier to defend the low end — Assumption, no signal yet
  • Product opportunities:
    1. Quoting integrated with the schedule ("quote from the calendar") — neither rival does this — Fact (feature absence per both docs)
    2. Win the dispatcher later with adoption-led dispatch: board built for techs who already like our app — Inference
  • Assumptions to validate:
    1. Our customers want quoting from us rather than their accounting tool (carried forward from the landscape scan — still open)
    2. DispatchCrow's churn upmarket is real and reachable by us
    3. Vantiga Go's mid-market traction is as thin as its review count suggests

Why this example works

  • The decision shaped everything. "Quoting or dispatch?" is why the snapshots dwell on expansion sequences and dispatch depth rather than, say, marketing spend. A section that didn't serve that question didn't ship — that's Just Enough Mode.
  • The Evidence quality row did its job. Vantiga's column is rated low, and the So What section respects that: Vantiga gets an assumption to validate, not a strategy implication. Weak evidence was contained, not laundered.
  • Labels carry the argument's weight. The headline recommendation (lead with quoting) is an Inference with its basis shown, so a skeptical exec can attack the basis instead of the vibe.
  • It builds on the chain. The landscape scan chose the competitors; this snapshot inherited an open assumption from it; the As-of date (2026-06-28) is what the competitive-intel-watch example diffs against next.

Source: SKILL.md on GitHub

1 warning2mo3 checks · Risk SAFE
  • Gen Agent Trust Hub2mo

    The skill is a structured workflow for competitive research that processes information from external websites. It has a low risk of indirect prompt injection, mitigated by built-in verification steps including evidence quality ratings and mandatory labeling of facts versus assumptions.

  • 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
[company/product/segment, and the decision it supports]
type
workflow
theme
market-intelligence
Other metadata
intent
Autonomous competitive research as a workflow: search plan, competitor selection, just-enough research, Fact/Inference/Assumption labels, real URL citations, and next-step options — producing a stable snapshot schema that battle cards and delta monitors consume and diff.
best_for
[
  "Grounding a positioning, roadmap, or deal-support decision in cited competitive evidence",
  "Creating the baseline snapshot that the competitive intel watch diffs against",
  "Board or exec prep that needs labeled facts instead of confident storytelling"
]
scenarios
[
  "We're rewriting our positioning next sprint — get me a cited read on our top three competitors",
  "Sales keeps losing to one rival; I need evidence on where they're actually strong and weak"
]
estimated_time
20-40 min per run

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