Business Analysis Framework Toolkit
A two-phase consulting-report system: build a rigorous analysis framework from a 20+ framework catalog (SWOT, Porter's Five Forces, BCG Matrix, TAM-SAM-SOM, DCF, and more) with per-chapter data requirements, then synthesize collected data into a McKinsey-voice report under a strict no-hallucinated-numbers rule.
A consulting-grade report that skips straight to prose either fabricates numbers to sound confident or reads like a data dump nobody interpreted — the fix is planning which frameworks and which data each chapter actually needs before a single sentence gets written.
Who it's for: consultants and analysts producing market, brand, or competitive analysis reports, product managers building investor-ready market sizing decks, corporate strategy teams standardizing report structure across a function, anyone who needs a McKinsey/BCG-style deliverable without hallucinated statistics
Example
"Analyze the Gen-Z skincare market" → A framework document selecting TAM-SAM-SOM + Product Life Cycle for market sizing, Porter's Five Forces + Strategic Group Mapping for competition, and RFM + Consumer Decision Journey for consumer profiling, each chapter with its own data requirements and search keywords — then, once real data is collected, a synthesized report where every chart and claim traces to that data and nothing is invented
CLAUDE.md Template
New here? 3-minute setup guide → | Already set up? Copy the template below.
npx ccplaybooks add business-analysis-framework-toolkit# Business Analysis Framework Toolkit
A two-phase process for producing consulting-grade analytical reports — market analysis, brand strategy, consumer insights, financial analysis, industry research, competitive intelligence, or investment due diligence. Phase 1 builds a rigorous analysis framework (chapter skeleton, data requirements, visualization plan) before any data collection happens. Phase 2 synthesizes collected data into the final report. The two phases are meant to be separated by a data-gathering step in between — don't skip straight from framework to prose without real data behind it.
## Data Authenticity Protocol (Non-Negotiable)
Every number, chart, and claim in the final report **must** trace back to data actually collected or actually provided — never invented, estimated, or simulated. If a data point is missing, the report says "data not available," not a plausible-sounding number. Every major claim and every chart must be traceable to its source. This rule governs both phases: it shapes what Phase 1 asks for, and it's the hard constraint Phase 2 writes under.
## Phase 1: Build the Analysis Framework
### Step 1.1 — Understand the Research Subject
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What This Does
Splits consulting-grade report writing into two disciplined phases. Phase 1 takes a research subject and domain (market, brand, financial, industry, consumer, investment, or competitive), selects 2–4 complementary frameworks from a catalog spanning strategic analysis (SWOT, PESTEL, Porter's Five Forces), market and growth (BCG Matrix, Ansoff, TAM-SAM-SOM), consumer behavior (RFM, Consumer Decision Journey, Jobs-to-be-Done), financial valuation (DCF, DuPont, Comparable Company Analysis), and competitive positioning (Blue Ocean, Strategic Group Mapping) — then builds a chapter skeleton where every chapter names its objective, its framework, its hypothesis, its exact data requirements, and its visualization plan.
Only after real data is collected against that plan does Phase 2 synthesize the final report, under one non-negotiable rule: the Data Authenticity Protocol. Every number and chart must trace to actually-collected data — missing data gets flagged as "not available," never invented. Each section follows a fixed narrative chain — Observation (What) → Attribution (Why) → Implication (So What) — so the report reads as interpreted insight in a consulting voice, not a data dump.
Quick Start
Step 1: Create a Project Folder
mkdir business-analysis && cd business-analysis
Step 2: Download the Template
Click Download above, then:
mv ~/Downloads/CLAUDE.md ./
Step 3: Build a Framework
claude
Give Claude a research subject and its scope (geography, time range, industry segment) and ask it to build the Phase 1 analysis framework. Once you've gathered the real data it calls for, come back and ask it to run Phase 2 and synthesize the final report.
Tips & Best Practices
- Resist starting Phase 2 with a thin data package "to keep momentum" — a report built on gaps just relocates the gap-filling problem into hallucinated-sounding prose. Close the required data gaps first.
- The framework-selection step is where reports most often go wrong: two frameworks that measure the same thing (Porter's Five Forces and Strategic Group Mapping can easily collapse into one section) waste a chapter instead of adding depth — be deliberate about what each one uniquely contributes.
- Keep the consolidated data-collection task list deduplicated across chapters — two chapters often want the same market-size figure; request it once.
Limitations
- This builds the framework and the final report — it is explicitly not a data-collection or web-research tool, and needs a real research step (an agent or a human) between its two phases.
- The framework catalog favors business and strategy domains; a genuinely technical or scientific research report needs different tooling.
- Best suited to reports with real data behind them — for a quick, low-stakes internal memo, this level of structure is more overhead than the task warrants.