Engineering Health = Technical Debt + Delivery Velocity + Team Behaviors
Hero culture, tech debt bankruptcy, and unpredictable delivery are symptoms, not root causes. The real question: Can teams say 'no' to unrealistic deadlines safely? Does quality get sacrificed for speed under pressure? Do exceptions become the norm?
We measure 93 signals across architecture (systems), SDLC maturity (processes), and team resilience (behaviors). Pre-LOI ready for PE firms. <2 weeks. $12K-$15K (Rapid Scan) or $45K-$65K (Full TRI).
Why Engineering Due Diligence Misses the Root Causes
Traditional engineering diligence catalogs architecture, code quality, tech debt, and deployment velocity. All useful. Often insufficient. What they miss: the behavioral patterns that determine whether "good processes" actually run or whether they get bypassed under pressure.
What We Measure and Why Behaviors Matter
We collect evidence on three layers, because engineering outcomes are rarely "just technical."
Systems (What Exists)
Architecture patterns, technical debt inventory, SDLC tooling (CI/CD, testing, monitoring), code quality metrics, reliability practices, documentation, infrastructure-as-code.
Processes (How Work Should Run)
Release management procedures, change control gates, incident response protocols, planning cadence, QA processes, code review standards, deployment workflows.
Behaviors (How Work Actually Runs)
Can teams push back on unrealistic timelines? Do QA gates get skipped when deadlines loom? Is quality sacrificed for velocity under pressure? Do engineers communicate blockers safely, or hide them?
Why Behavioral Evidence Matters for Engineering
A team with "good SDLC practices" that routinely bypasses code review under pressure is high-risk because the process exists in policy, not in practice. Engineering teams that can't say "no" to product when timelines are unrealistic will ship brittle code, accumulate hidden debt, and burn out. Traditional firms note these risks as "culture concerns." Signalomix scores them as measurable signals inside PE due diligence.
Three-Layer Engineering Health Assessment
93 signals across 12 dimensions: architecture sustainability, technical debt, development velocity, code quality, testing maturity, release process, incident response, monitoring, documentation, engineering culture, talent retention, technical leadership. Evidence-based scoring benchmarked against industry cohorts.
Three Decisions This Assessment Enables for PE Firms
- Pre-LOI screening: Will technical debt delay integration? Is engineering velocity predictable or hero-dependent? Can the team scale post-acquisition?
- Retention risk quantified: Which engineers are key dependencies? What's the attrition risk if CTO changes? Mitigation cost and retention plan for first 90 days.
- IC scorecard: Engineering risk index, top drivers (debt, velocity, culture), deal impact, $M at risk and timeline for remediation. Portfolio-grade format you can compare across deals.
12 Dimensions: Architecture, Velocity, Culture
We score engineering health across technical systems, development processes, and team behaviors, because engineering risk is rarely "just code."
Each dimension produces an evidence-based score benchmarked against industry cohorts (SaaS, FinTech, HealthTech). We measure actual capability across systems, processes, and behaviors, not just what exists on paper.
Pre-LOI Engineering Assessment: Will Technical Debt Delay Integration?
For PE firms, the question isn't "does tech debt exist?", it's "will it block integration, delay value creation, or require expensive re-platforming?"
What We Identify Pre-Close
- Hero culture → key person dependencies, attrition risk (15-25% post-CTO change)
- Tech debt bankruptcy → scaling blocked, re-platform required ($2M-$10M, 12-18 months)
- Fragile architecture → reliability incidents damage customer retention
- Slow delivery velocity → missed roadmap commitments, competitive disadvantage
- Poor testing maturity → production bugs, customer churn
- Cultural risk: Can teams push back safely? Quality sacrificed under pressure?
What You Get for IC
- Engineering health risk index (quantified, benchmarked)
- Technical debt quantified: $M remediation cost, timeline, integration impact
- Velocity assessment: predictable vs. hero-dependent delivery
- Retention risk analysis: key person dependencies, CTO transition plan
- Fix-first plan: 30/60/90 priorities (debt paydown, process enforcement, culture fixes)
- Portfolio-grade format: comparable across deals, trackable post-close
What You Get: IC Scorecard + Technical Roadmap
IC-Ready Risk Scorecard
Engineering health risk index, top 5 drivers, deal impact translation, tech debt quantified ($M, timeline), not 80-page narrative. Portfolio-grade format comparable across deals.
Post-Close Technical Roadmap
Prioritized remediation plan: tech debt paydown, SDLC enforcement, architecture improvements, team retention, with mitigation cost, timeline, and ownership.
Retention Risk Analysis
Key person dependencies identified, attrition risk quantified (especially if CTO changes), retention plan for critical engineers, behavioral evidence on team stability under stress.
PE Impact: $2M-$10M Tech Debt Discovered Pre-Close
Signals Measured
Architecture, tech debt, velocity, quality, testing, release process, incident response, culture, retention, scored, benchmarked, rolled up to risk index
IC-Ready Output
Pre-LOI screening or post-LOI deep dive. Risk scorecard + technical roadmap + retention plan, diligence that becomes execution agenda
Team Risk Quantified
Can they push back on unrealistic timelines? Does quality get sacrificed under pressure? Will they stay if CTO changes? Scored, not noted.