Skill Guide

Startup due diligence including technical, market, and team assessment

A structured, multi-disciplinary process for systematically evaluating a startup's viability, competitive edge, and risks by scrutinizing its technology stack and codebase, total addressable market and business model, and founder capability and team dynamics.

This skill is the primary risk mitigation tool for investors, acquirers, and corporate venture arms, directly protecting capital and informing valuation. It determines whether to allocate resources, shaping the success of investment portfolios and strategic partnerships.

1 Careers

1 Categories

8.7 Avg Demand

25% Avg AI Risk

How to Learn Startup due diligence including technical, market, and team assessment

Master the three core pillars: 1) Technical: Learn basic software architecture (monolith vs. microservices) and common tech debt indicators. 2) Market: Understand TAM/SAM/SOM models and unit economics (CAC, LTV). 3) Team: Study founder-market fit frameworks and analyze cap table structures.

Conduct due diligence on 3-5 real, public startup case studies (e.g., from 'The Pitch' podcast or public Series A data). Focus on connecting data points-how a weak team signal correlates with specific market risk. Avoid the 'confirmation bias' mistake by using a structured checklist to challenge your initial positive or negative impression.

Lead or shadow a real due diligence process for a live investment. Develop expertise in one domain (e.g., SaaS metrics, AI technical risk) to become a lead analyst. Master the synthesis of conflicting signals across all three pillars into a concise investment memo with a clear 'go/no-go' recommendation and valuation range.

Practice Projects

Beginner

Case Study/Exercise

Analyze a Public Series A Deck

Scenario

You are provided with the anonymized pitch deck and basic financial summary of a recently funded B2B SaaS startup.

How to Execute

1) Use a standard checklist (e.g., Sequoia's) to score the market size claim. 2) Review the tech stack slide and list three questions you would ask the CTO. 3) Assess the founding team's background against the problem they are solving.

Intermediate

Case Study/Exercise

Red Team a Due Diligence Report

Scenario

You are given a completed, positive due diligence memo for a consumer social app. Your role is to act as the 'skeptic' and find the weaknesses.

How to Execute

1) Challenge the market size by identifying overlooked competitors or regulatory risks. 2) Scrutinize user growth metrics for signs of unsustainable spend (e.g., CAC > LTV). 3) Research the founders' prior exits or failures for undisclosed issues. 4) Write a one-page counter-memo outlining the top 3 risks.

Advanced

Case Study/Exercise

Live Deal Analysis and Recommendation

Scenario

A venture capital fund partner asks you to evaluate a Series B fintech startup with a pre-money valuation of $80M. You have access to the data room, management calls, and customer references.

How to Execute

1) Construct a detailed financial model challenging their revenue projections. 2) Conduct technical interviews with the engineering leads, focusing on scalability and security. 3) Perform back-channel reference checks on the CEO. 4) Draft a final investment memo recommending a specific valuation range and key conditions for investment.

Tools & Frameworks

Mental Models & Methodologies

TAM/SAM/SOMUnit Economics (CAC/LTV)CAP Table AnalysisFounder-Market FitTechnical Debt Assessment

Apply TAM/SAM/SOM to pressure-test market claims. Use CAC/LTV to gauge business model sustainability. Analyze CAP tables to understand incentive alignment. Evaluate founder-market fit for founder risk. Use technical debt models to assess long-term engineering cost.

Software & Platforms

Crunchbase / PitchBookSimilarWeb / SEMrushGitHub / GitLab (for public repos)Tableau / Google Data Studio

Use Crunchbase/PitchBook for funding history and competitor landscape. Use SimilarWeb/SEMrush for traffic and customer acquisition channel analysis. Review public GitHub activity for engineering team productivity. Use visualization tools to synthesize financial and market data.

Interview Questions

Answer Strategy

Structure the answer using the pillars (Architecture, Data, Team, Scalability). Mention specific tools (e.g., reviewing model versioning, infrastructure costs). The red flag should be concrete, e.g., 'proprietary training data with unclear provenance or licensing, which creates significant legal and competitive risk.' Sample Answer: 'I'd first review the AI model architecture and its dependency on proprietary vs. open-source data. A major red flag would be unclear data provenance, creating IP risk. I'd also assess infrastructure costs against projected scale, as AI-heavy operations can have non-linear scaling costs.'

Answer Strategy

Tests ability to disaggregate individual genius from team/system risk. Probe for frameworks to assess team scalability. Sample Answer: 'I would conduct separate interviews with the core engineers to assess their clarity on architecture, technical debt management, and deployment processes. I'd look for established practices like code review and CI/CD pipelines. The risk isn't the CTO's inexperience per se, but whether the technical foundation can scale without a crisis if the CTO needs to be augmented or coached.'