Consulting Industry Research Pro

Problem

Industry research outputs often look complete but are hard to audit: market size lacks boundary definitions, competitive structure stays qualitative, consumer categories miss price, brand, and review sample rules, and conclusions such as KSF, SCP, and lifecycle stages lack a derivation chain. This skill turns external industry research into a source-backed, evidence-labeled workflow with delivery gates, centered on no number without a source, separation of facts and judgment, and cross-source validation for key metrics.

How it works

• Decomposition and sourcing: split the task into market size, competitive structure, value chain, policy, drivers, and industry performance/concentration; for consumer categories, add price bands, brand matrix, product attributes, and user reviews.
• Collection and validation: use WebSearch to locate URLs and WebFetch to extract page content; key numbers require at least two independent sources and consistent definitions, then produce a data verification table.
• Frameworks and judgment: fill validated facts into five forces, PEST, TAM-SAM-SOM, SCP, lifecycle, and KSF templates; KSF candidates must pass six-dimension scoring, multi-framework support, and leader performance evidence.
• Delivery gates: before generating Word, PPT, or spreadsheets, check placeholders, data freshness, market boundary tables, five-force entity tables, and consumer-category sections to reduce unverified claims.

Boundaries

Best for external industry or market research, consumer category analysis, and industry-level KSF, trend, and opportunity/threat analysis. It is not a substitute for enterprise diagnostics, tax compliance research, or deep macro PESTEL delivery. Without advanced collection tooling, dynamic or anti-bot pages may underdeliver; paid data, personal information, and sensitive client data must stay within compliance and redaction limits.