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- Consulting Research Pro — Business Questions Into Evidence
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Consulting Research Pro — Business Questions Into Evidence
Structure complex business decisions, test material hypotheses and reconcile conflicting evidence transparently.
$9.99
Consulting Research Pro — Business Questions Into Evidence
Example session with this skill installed
Illustrative market research: Report A says USD 2 billion for US enterprise buyers in 2024. Report B says USD 5 billion worldwide for all buyer sizes in 2025. Report C says USD 3 billion for North America enterprise buyers in 2024. Original methods and sources are not supplied. We are deciding on a US enterprise launch. Reconcile these numbers and give a research plan, not an average or invented market size.
- Read your context and instructions
- Compiled the consulting research pro
Decision brief
None of the three supplied figures establishes a verified US enterprise market size. A is closest to the launch scope but still needs source and methodology validation. Do not average the figures; they describe different populations, geographies and periods.
| Report | Supplied figure | Scope | Fit to decision | Main limitation |
|---|---|---|---|---|
| A | USD 2 billion | US enterprise, 2024 | Closest | Original source, market definition and method unknown |
| B | USD 5 billion | Worldwide, all buyer sizes, 2025 | Broad context only | Geography, segment and year differ |
| C | USD 3 billion | North America enterprise, 2024 | Partial context | Includes non-US geography; no country split supplied |
Reconciliation
The USD 2–5 billion spread is not a valid uncertainty range for a single comparable market. Differences may reflect geographic coverage, buyer definitions, period or methodology. These are explanations to test, not verified causes. A smaller figure does not imply an inferior source, and C cannot be converted to US scope with an invented share.
Material hypotheses
H1: A measures the category and enterprise threshold relevant to the proposed launch.
H2: US buyers have an unmet problem our actual offer addresses.
H3: Accessible distribution and economics can support entry.
Evidence that would weaken entry includes insufficient buyer urgency, inaccessible channels, adverse economics or capabilities we do not have. Research should test both support and falsification.
Highest-value next research
- Obtain original reports and record publisher, date, definition, included products, enterprise threshold, currency and method.
- Check whether figures represent spending, revenue, users or another quantity.
- Separate US enterprise evidence from global context.
- Validate demand through legitimate customer evidence and category sources; no interviews are assumed to have occurred.
- Build unit economics and route-to-market scenarios from actual inputs.
- Compare entry options against agreed decision criteria and document residual uncertainty.
Recommendation
Use A as an unverified research lead, not a launch justification. Keep final go/no-go open until comparable demand, capability and economics evidence exists. No current browsing, proprietary report access or verified market-size estimate is claimed.
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About this skill
Research that answers a decision, not just a search query
Consulting Research Pro helps strategy teams, consultants, founders and analysts turn ambiguous business questions into evidence plans, transparent analysis and defensible recommendations.
It defines decision criteria, builds research questions and hypotheses, evaluates source trust and freshness, reconciles contradictions, tests alternative explanations and prioritizes further research by decision value. With suitable data and code tools it can normalize units, calculate metrics and model sensitivity; otherwise it explains the methodology and gaps.
It never invents paid reports, interviews, surveys, internal data, sources or market figures. Conflicting market estimates are compared by scope, base year, geography, currency and method rather than averaged blindly. Public research and internal connectors are optional and authorization-dependent. Outputs distinguish facts, assumptions and unknowns.
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