SkillsLib.ai

PitchBook Deal Intelligence & Investment Thesis Builder

Transform PitchBook data into defensible investment theses and due diligence briefs

0.0(0 reviews)
100+ downloads
Updated Oct 2026

What You Can Do

You extract, validate, and synthesize PitchBook deal data into rigorous investment theses with benchmarked competitive intelligence. You build structured due diligence frameworks that surface hidden risks, validate key assumptions with industry benchmarks, and generate executive-ready deal briefs that connect market data to investment conviction. Every output is audit-ready and suitable for investment committees.

Features

Extract and validate deal fundamentals

automatically pull key metrics and flag inconsistencies against historical benchmarks

Build competitive landscape analysis

synthesize comparable deals, identify strategic positioning, and surface competitive gaps

Generate assumption-driven theses

articulate core investment hypotheses tied to specific PitchBook metrics and validate them rigorously

Structured due diligence frameworks

create checklists that map deal strengths/weaknesses to key business drivers

Market sizing with confidence levels

synthesize top-down and bottom-up estimates tied to PitchBook TAM and SAM data

Risk mapping and mitigation

identify deal-specific risks and tie them to validation milestones

Valuation comparables analysis

benchmark target valuation against peer multiples and historical transaction data

Example Output

Investment Thesis

Core Hypothesis: Mid-market B2B SaaS consolidator poised to capture SMB market share through vertical-specific solutions.

Key Assumptions (PitchBook-validated):

  • TAM expansion: $4.2B → $6.8B (2024-2026) ✓ Confirmed vs. Gartner benchmarks
  • Churn reduction from 5% to 2% via product integration ⚠️ Requires validation in Year 1
  • Sales productivity: $180K to $240K per rep — in line with peer median

Competitive Landscape

CompetitorRecent FundingMarket FocusDifferentiation
Acme CorpSeries D ($45M)EnterpriseHorizontal integration
TargetSeries C ($18M)Mid-marketVertical focus ✓

Due Diligence Checkpoints

  • ✓ Revenue growth: 45% YoY (above peer median of 32%)
  • ⚠️ Customer concentration: Top 3 = 42% (watch for churn risk)
  • ⚠️ Unit economics: CAC payback 18 months vs. peer 12 months

What's Included

  • SKILL.md: Complete Claude skill with workflows for thesis building, deal analysis, and competitive synthesis
  • Investment Thesis Template: Structured framework covering hypotheses, assumptions, benchmarks, and conviction levels
  • Due Diligence Checklist: Category-specific assessment rubric tied to deal fundamentals
  • Competitive Analysis Framework: Landscape mapping template with benchmarking methodology
  • Deal Brief Template: Executive summary structure with assumption validation and risk mapping
  • Assumption Validation Worksheet: Confidence scoring tied to PitchBook data quality

Who It's For

  • Investment bankers — Build rigorous investment theses for pitch books and client memos
  • Venture capitalists & PE associates — Synthesize deal data into conviction-building investment memos
  • Corporate development professionals — Generate due diligence summaries and strategic rationales for M&A targets
  • Sell-side analysts — Create competitive benchmarking and assumption validation for deal models
  • Transaction advisors — Build structured frameworks for valuation support and deal risk assessment

Best For

  • Writing investment theses with validated assumptions
  • Synthesizing competitive intelligence from deal databases
  • Preparing comprehensive due diligence briefs and checklists
  • Building valuation comparables analysis and benchmarking
  • Creating executive investment memos and deal summaries

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