Buy-Side Technical Due Diligence
This buy-side route is for acquisition decisions. It reframes technical risk for post-close execution: integration complexity, ownership clarity, retention concentration, and scale durability.
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.
Buy-Side Method
How Buy-Side Diligence Framing Differs
Prioritizes post-close integration and execution risk, not only product health in isolation.
Highlights diligence checks around IP and licensing ownership, architecture mergeability, data and platform coupling, and key-person dependency through transition.
Frames score interpretation for build-versus-rebuild and phased remediation planning during deal modeling.
Use this as a pre-deal screen before full code, architecture, security, and integration diligence workstreams.
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
+How is this different from the core diligence hub?
The buy-side page uses the same core scoring engine but shifts interpretation toward acquisition integration and post-close execution risk.
+Why map acquisition-related aliases here?
Acquisition and buy-side queries share an M&A intent that is materially different from generic technical-risk triage.
+Can this estimate integration effort directly?
It provides directional risk framing; integration effort still requires architecture and delivery-plan deep-dive.
+What buy-side fields deserve the closest scrutiny?
Bus factor, documentation maturity, deployment failure rate, and secrets or DR controls often drive post-close execution friction.
+How should deal teams use the remediation range output?
Treat it as planning exposure for negotiation and post-close planning, then validate with technical workstream leads.
+Can this support a thesis on synergy timing?
It can inform early timing assumptions, but integration architecture and team dependency analysis must confirm the schedule.
Related Technical Diligence Pages
Technical Due Diligence Calculator
Investor and acquirer risk-score hub for technical due diligence across architecture, delivery, team, security, cloud, and roadmap signals.
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 ->