Technical Due Diligence Calculator
This is the core technical-risk score hub for diligence workflows. It is designed for investors and acquirers who need a structured first-pass technical risk signal before full diligence.
Preliminary technology risk assessment. This is directional and should be followed by full technical due diligence.
Risk score
61/100
Overall assessment
Proceed with Conditions
Proceed only with clear remediation conditions and execution tracking.
Remediation cost
$165,800 - $343,800
Remediation timeline
3-6 months
Architecture
81
Technical debt
50
Delivery health
56
Team risk
63
Security
70
Cloud efficiency
50
Roadmap realism
25
Model
Weighted risk model
20/20/15/15/15/10/5
Top findings
- -Backup/DR restoration is not validated.
- -Roadmap realism shows elevated risk (25/100).
- -Technical debt shows elevated risk (50/100).
- -Cloud and infrastructure efficiency shows elevated risk (50/100).
- -Engineering delivery health shows elevated risk (56/100).
Architecture Fitness
Architecture shape, reliability, and recovery profile.
Technical Debt
Maintainability pressure from coverage, bugs, and legacy constraints.
Engineering Delivery Health
Release velocity and change stability indicators.
Team and Key-Person Risk
Team resilience, documentation, and concentration risk.
Security and Compliance
Control posture, testing discipline, and recovery readiness.
Cloud and Infrastructure Efficiency
Spend exposure and platform automation maturity.
Product and Roadmap Realism
Forward feasibility and claim reliability.
Risk-Score Hub
How the Risk-Score Hub Works
Scores seven diligence dimensions in one model: architecture fitness, technical debt, engineering delivery, team and key-person concentration, security and compliance, cloud efficiency, and roadmap realism.
Converts questionnaire inputs into weighted category scores and an overall due-diligence risk score for faster triage decisions.
Treats key-person, delivery, cloud, roadmap, and AI-technical concerns as score dimensions inside the hub to avoid thin doorway pages per micro-intent.
Returns directional output for prioritization. Use this as intake before code-level review, architecture deep-dive, and operational validation.
Field Setup Guide
Each field below explains what to input and how to keep assumptions consistent across reviewers.
Architecture style
Select the closest current architecture pattern. Use the current production shape, not a target future state.
Prod incidents / month
Average monthly production incidents requiring real intervention, not minor alerts.
MTTR (hours)
Mean time to recover service after incidents, measured in hours.
Horizontal scaling risk
Operational risk of scaling current workloads under growth pressure.
Test coverage (%)
Practical automated test coverage for critical business paths, not vanity coverage.
Release delays / month
How often releases are delayed due to technical blockers.
Open bugs
Active unresolved defects relevant to production stability and delivery.
Legacy systems
Count of legacy dependencies that materially constrain delivery or operations.
Deployment frequency
Current delivery cadence in production under normal operating conditions.
Lead time (days)
Average days from approved change to successful production release.
Failed deploy rate (%)
Percent of deployments that fail or require rollback or hotfix.
Hotfixes / month
Monthly emergency fixes applied after release due to instability.
Team size
Number of engineers actively responsible for the platform in scope.
Bus factor
Number of people whose loss would materially disrupt delivery continuity.
Attrition (%)
Annualized team attrition rate used as concentration and continuity signal.
Documentation maturity
How complete and operationally useful architecture and runbook documentation is.
MFA enabled
Whether multi-factor authentication is broadly enforced for critical systems.
Pen test recency
How recently formal penetration testing was completed.
SOC2 status
Current compliance maturity status used as a control signal.
Secrets management
Whether secrets handling is structured and controlled rather than ad-hoc.
Backup/DR tested
Whether backup and disaster recovery restoration has been tested, not only documented.
Cloud spend / month
Monthly cloud spend for the scoped platform, including core workloads.
IaC maturity
Maturity of infrastructure-as-code and repeatable environment management.
Monitoring maturity
Depth of observability, alert quality, and operational coverage.
Rollback maturity
Reliability and speed of rollback during failed releases.
Roadmap confidence
Confidence that roadmap commitments are technically feasible on current foundations.
Major rewrite planned
Whether a major rewrite is expected, which can indicate structural risk.
AI claims validated
Whether AI-related technical claims are validated with operating evidence.
Frequently Asked Questions
+Who is this page for?
It is for investors, acquirers, and leadership teams running technical diligence triage before deeper review.
+Does this replace full technical due diligence?
No. It is a structured first-pass screen that helps prioritize where deep diligence should focus.
+Why are delivery, team, and cloud risk included in one model?
Deal risk is multi-dimensional. Diligence outcomes depend on architecture quality and execution capability together.
+How should we set questionnaire values if data quality is mixed?
Use conservative values and document assumptions. For unknown metrics, choose the more cautious band and refine after evidence review.
+Can this score be compared across targets?
Yes, if the same interpretation rules are used. Consistent inputs make relative comparison useful for triage sequencing.
+What should happen after a high-risk score?
Move to deep diligence: architecture review, code-level sampling, security validation, and leadership interview synthesis.
Related Technical Diligence Pages
Buy-Side Technical Due Diligence
M&A-focused technical diligence framing for acquirers: integration risk, IP and license ownership, key-person retention, post-close scalability, and rebuild risk.
Open ->Startup Technical Due Diligence Calculator
VC and growth-investor diligence framing for startup technical risk: scaling durability, founder concentration, speed-versus-debt tradeoffs, and 10x readiness.
Open ->SaaS Due Diligence Calculator
SaaS-specific technical due diligence framing: multi-tenancy isolation, cloud unit economics, churn as technical signal, uptime and SLA history, and platform durability.
Open ->Remediation Cost Calculator
Estimate post-diligence remediation budget and timeline from issue severity mix, engineering capacity, and blended delivery cost assumptions.
Open ->