market-research-reports

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---
name: market-research-reports
description: Build evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios. Use for market definition, industry and customer evidence, competitive landscapes, TAM/SAM/SOM reconciliation, forecast sensitivity, and auditable report scaffolds.
license: MIT
compatibility: Python 3.11+ standard library for optional offline CLIs. The optional LaTeX template uses XeLaTeX or LuaLaTeX. Online research requires user-approved network access and source-specific terms; bundled scripts make no network, LLM, or image calls.
metadata:
  version: "1.2"
  skill-author: "K-Dense Inc."
---

# Market Research Reports

## Purpose

Create decision-focused market reports whose claims, calculations, assumptions,
and uncertainties can be audited. Match depth and format to the question and
evidence. There is no required length, chapter count, visual count, or output
format.

Do not:

- imitate or imply affiliation with a consulting, analyst, or research brand;
- invent citations, quotes, market shares, or paid-market figures;
- present TAM/SAM/SOM or a forecast as one certain truth;
- treat a framework, chart, or fluent narrative as evidence;
- provide investment, legal, antitrust, tax, accounting, or regulatory advice.

## Operating principles

1. **Define before sizing.** Fix product, customer, geography, channel, period,
   measure, unit, denominator, currency/base year, and taxonomy.
2. **Map every claim.** Every factual or quantitative claim has a claim ID and
   exact source IDs.
3. **Separate statement types.** Distinguish facts, estimates, calculations,
   forecasts, opinions, and recommendations.
4. **Prefer primary evidence.** Use official statistics, regulator records,
   filed company disclosures, and transparent original studies before
   secondary synthesis.
5. **Preserve uncertainty.** Retain source conflicts, revisions, scenario
   ranges, sensitivity, and limitations.
6. **Keep methods reproducible.** Use local structured inputs and deterministic
   calculations when practical.
7. **Collect lawfully and ethically.** No deception, PII disclosure, access
   circumvention, confidential material, or trade-secret acquisition.

## Workflow

### 1. Establish the research contract

Clarify:

- decision, audience, deadline, and materiality threshold;
- formal market definition and adjacent exclusions;
- buyer, payer, user, transaction, and value-chain level;
- geography and treatment of imports, exports, and channels;
- historical period, forecast period, and retrieval cutoff;
- revenue/expenditure, gross output/value added, units, capacity, users, or
  another measure;
- stock/flow, gross/net, taxes, and denominator;
- currency, base year, and nominal/real/current/constant basis;
- industry and product classification with version;
- permitted data sources, primary research, confidentiality, and output format.

Ask a focused question when a missing choice would materially change the
denominator or result. Otherwise state a provisional scope and proceed.

Use `references/report_structure_guide.md` for modular report design.

### 2. Build the evidence plan

Route each question to the source closest to the underlying event:

1. primary law, regulator decision, official filing, or official statistic;
2. original company filing or attributable first-party disclosure;
3. transparent survey/study with inspectable methods;
4. institutional or peer-reviewed research using identifiable primary data;
5. industry association data with disclosed coverage;
6. reputable secondary synthesis;
7. lawfully accessed paid estimate with inspectable scope and method;
8. news/commentary for leads or attributable events.

For company data, prefer the official filing system in the relevant
jurisdiction. For industry, labor, prices, population, trade, and national
accounts, prefer the responsible national statistical agency or central bank.
For cross-country work, use harmonized World Bank, IMF