competitive-research-snapshot
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.
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Competitive Research Snapshot
Purpose
Research a company's competitive landscape using a workflow, not a one-shot answer: search plan →
competitor selection → just-enough research → fact/inference labels → real URL citations → next-step
options. The output is a decision-support snapshot, not a market report — and because its schema is
stable, downstream skills (battle cards, delta monitors) can consume it and diff it. Because it
proceeds on labeled assumptions when questions go unanswered, it can run as an agent task or on a
schedule; re-run it and diff against the prior snapshot.
Input
Works best with: the company, product, or segment to research, and the decision this research
should support (positioning, roadmap bet, deal support, board prep) — the decision determines what
"just enough" means.
Also useful: known competitors (or explicit permission to identify them), and any prior snapshot
or market-landscape-scan output in session — the skill builds on evidence already gathered rather
than re-researching it.
Input supplied inline with the invocation — text after the skill name, a pasted context dump, or an
appended ARGUMENTS: line — counts as answers already given. Use it against the question budget;
don't re-ask.
Arriving empty-handed? That works too. The skill opens with at most 3 questions (subject,
decision, competitors) and proceeds on labeled assumptions if they go unanswered.
Example invocation: Competitive research snapshot on our expense-automation product — decision:
which roadmap bet wins Q1. Competitors: [Competitor A], [Competitor B]; find a third if one matters.
Key Concepts
autonomous-investigationcontract in full — question budget of 3, search-plan gate, Fact/Inference/Assumption labels, Just
Enough Mode, stable schema, 4-option Final Step.
+ SIGINT (pricing pages, site changes) — see
intelligence-collection-disciplines.decision named in Scope. Research value is decision support, not page count.
competitive-intel-watchdiffs the world against this document. Section order never changes.
who don't. Use provided competitors; if none, identify the top 3 (4 only if clearly needed), each
with name, why relevant, source URL, and confidence.
share, customer wins, roadmap items, product claims.
tam-sam-som-calculator;you need deep intel on one company's strategy and executives →
company-research / company-intel;the facts are already gathered → go straight to the battle card.
Application
1. What company/product/segment?
2. What decision should this support?
3. Known competitors, or should I identify them?
If unanswered, proceed with labeled assumptions.
from inference. Continue unless revised.
name; why relevant; source URL; confidence.
customer stories, press releases, investor materials, credible news, analyst/review sites.
Output schema (do not reorder)
~~~markdown
Competitive Research Snapshot
1. Scope
Company/product: | Category: | Decision supported: | Competitors analyzed:
2. Competitor Snapshots
For each competitor, max 5 bullets:
Competitor: [Name]
3. Quick Comparison
| Dimension | Company | Comp 1 | Comp 2 | Comp 3 |
|---|---|---|---|---|
| Target customer | ||||
| Core use case | ||||
| Main strength | ||||
| Main weakness | ||||
| Evidence quality |
4. So What?
Each bullet: label, confidence, source URL where relevant.
~~~
A copy/paste fill-in version of this schema, with quality checks, lives in template.md.
Final Step (offer exactly 4 options)
battle-card-builder)Accept 1, 2, 3, 4, 1 and 2, Verbose Mode, or a custom path.
Examples
A competitor snapshot with honest labels (fictional):
> ### Competitor: Ledgerline
> - Positioning: "finance automation for mid-market CFOs" — Fact (homepage, Jul 2026)
> - Relevant capability: approval-chain builder shipped in May — Fact (release notes)
> - Likely strength: ERP integrations; 40+ listed, reviewers confirm the top 5 work well — Fact (G2 reviews)
> - Likely weakness: implementation time; complaint cluster across 11 reviews since March — Inference (review mining; no benchmark data)
> - Key source URL: pricing page
The "Evidence quality" row doing its job: the comparison matrix rates Comp 3's column low —
every claim traces to their own marketing. The So What section then refuses to list Comp 3 as a
primary risk: "insufficient independent evidence — Assumption to validate via customer
references." That row exists so weak columns can't masquerade as strong ones.
See examples/sample.md for a complete worked snapshot (fictional
FSM-software market) that consumes the market-landscape-scan example and becomes the baseline thecompetitive-intel-watch example diffs against. examples/sample-industrial.md
shows the same schema on an industrial evidence diet — filings, registries, and honest
absence-of-evidence.
Common Pitfalls
serve the decision in Scope, it's padding — Just Enough Mode is the contract.
a Fact about what they claim; whether it works is review-site territory or an Inference, labeled.
deep — the comparison matrix should be full, not wide.
each So What bullet is what makes it usable in a roadmap argument.
is theater — that's what
competitive-intel-watch is for.References
autonomous-investigation (Workflow) — the governing protocolintelligence-collection-disciplines (Component) — discipline sources and signal chainsmarket-landscape-scan (Workflow) — upstream: surfaces which players deserve this snapshotcompetitive-intel-watch (Workflow) — downstream: diffs future runs against this baselinebattle-card-builder (Workflow) — downstream: turns the snapshot into a field-action cardcompany-research, company-intel — single-company deep divesmarket-intelligence/competitive-research-snapshot-prompt.md in thehttps://github.com/deanpeters/product-manager-prompts repo.