N16-1: Pre-Acquisition Technical Assessment
The engineering leader's guide to evaluating whether a target is worth acquiring — before the LOI.
🎯 What You'll Learn
- ✓ Evaluate tech stack compatibility
- ✓ Estimate integration costs
- ✓ Identify deal-breakers
- ✓ Build technical DD checklists
Lesson 1: Tech Stack Compatibility Matrix
Build a compatibility matrix: your stack vs target stack. For each layer (frontend, backend, data, infrastructure, ML), score compatibility: Compatible (same or similar tech), Translatable (different but mappable), Incompatible (requires full rebuild). Each "incompatible" layer adds $200K-1M in integration costs.
Frontend, backend, data, infrastructure, ML, DevOps — score each.
Translatable layers require adapter work: 2-4 engineering months per layer.
Incompatible layers require full rewrite: 6-12 engineering months per layer.
Build a compatibility matrix for a potential acquisition target. Score each layer and estimate total integration cost.
Lesson 2: Integration Cost Estimation
The integration cost iceberg: what you see (codebase merge) is 20%. What you don't see: data migration (20%), testing and validation (15%), customer migration (15%), team onboarding (10%), documentation (10%), and unexpected issues (10%). Multiply your initial estimate by 3x for realistic budgeting.
Whatever the engineering team estimates, multiply by 3.
Schema mapping, data transformation, quality validation.
Moving customers from the old system to the new without downtime.
Estimate integration costs for a target acquisition using the 3x rule. Break down each cost category.
Lesson 3: Technical Deal-Breaker Identification
Five findings that should kill a deal: (1) No automated testing on critical paths, (2) Single-point-of-failure architecture, (3) Unresolvable security vulnerabilities, (4) Key-person dependency on <2 engineers, (5) Regulatory non-compliance that requires re-architecture. Any one of these can cost more to fix than the entire acquisition price.
No automated tests = unreliable deployments = integration will break everything.
One database, one server, no failover = one incident from data loss.
The target doesn't meet your compliance requirements (SOC2, GDPR, HIPAA).
Run the 5 deal-breaker checks on a target company. Document findings with severity and remediation cost estimates.
Continue Learning: Track 16 — M&A Technical Integration
2 more lessons with actionable playbooks, executive dashboards, and engineering architecture.
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Module Syllabus
Lesson 1: Lesson 1: Tech Stack Compatibility Matrix
Build a compatibility matrix: your stack vs target stack. For each layer (frontend, backend, data, infrastructure, ML), score compatibility: Compatible (same or similar tech), Translatable (different but mappable), Incompatible (requires full rebuild). Each "incompatible" layer adds $200K-1M in integration costs.
Lesson 2: Lesson 2: Integration Cost Estimation
The integration cost iceberg: what you see (codebase merge) is 20%. What you don't see: data migration (20%), testing and validation (15%), customer migration (15%), team onboarding (10%), documentation (10%), and unexpected issues (10%). Multiply your initial estimate by 3x for realistic budgeting.
Lesson 3: Lesson 3: Technical Deal-Breaker Identification
Five findings that should kill a deal: (1) No automated testing on critical paths, (2) Single-point-of-failure architecture, (3) Unresolvable security vulnerabilities, (4) Key-person dependency on <2 engineers, (5) Regulatory non-compliance that requires re-architecture. Any one of these can cost more to fix than the entire acquisition price.