Most operational due diligence checklists floating around the internet read like they were written by someone who has never actually sat in a deal team room at 2 AM trying to decide whether a management team can execute a $400M value creation plan. They list obvious items — "review org chart," "assess IT systems" — without telling you what to actually measure or what the red flags look like.
This checklist is different. It reflects what experienced PE operating partners actually track during diligence, organized by the operational dimensions that predict post-close performance.
Communication Health (5 Points)
- Cross-functional information flow — Map how information moves between engineering, sales, product, and finance. Healthy companies show distributed communication graphs. Unhealthy ones route everything through one or two nodes.
- Response latency by seniority — Measure the average time between a message sent and a meaningful response, segmented by organizational level. When executives take 3x longer to respond than ICs, decision-making is bottlenecked at the top.
- Meeting-to-async ratio — Calculate the percentage of decisions made in meetings versus asynchronous channels. Companies above 70% synchronous decision-making struggle to scale past 150 people.
- Communication silos — Identify departments that rarely interact directly. Engineering and customer success not talking is a leading indicator of product-market drift.
- Information half-life — How long does it take for a critical update (pricing change, product pivot, policy shift) to reach 80% of the organization? Healthy companies: under 48 hours. Troubled ones: over two weeks.
Execution Health (5 Points)
- Cycle time trend — Track the time from work item creation to completion over the last 12 months. A rising trend means the organization is accumulating friction.
- Commit-to-deploy ratio — In engineering organizations, the gap between code committed and code deployed reveals process overhead and risk tolerance.
- Rework rate — What percentage of completed work gets reopened within 30 days? Above 15% signals quality problems or unclear requirements.
- Deadline accuracy — Compare projected completion dates against actual delivery for the last 20 major initiatives. Chronic overestimation (missing deadlines by 30%+) points to planning dysfunction or resource constraints.
- Blocked work inventory — At any given time, what percentage of active work items are blocked? Above 20% indicates systemic dependency problems.
Decision Velocity (5 Points)
- Time-to-decision by category — Segment decisions into operational (day-to-day), tactical (quarterly), and strategic (annual). Measure median elapsed time from question raised to decision made. Operational decisions taking more than 48 hours is a warning sign.
- Decision reversal rate — How often are decisions revisited within 30 days? Some reversal is healthy (learning). Above 25% means the organization lacks conviction or the decision-making process is broken.
- Approval chain depth — Count the number of approvals required for common actions: hiring, spending above $5K, launching a feature, changing a process. More than three layers for any routine decision is bureaucratic drag.
- Escalation frequency — Track how often decisions escalate beyond the team that owns the problem. Rising escalation rates mean the wrong people are in the wrong roles, or authority is poorly distributed.
- Decision documentation — Can the company produce a clear record of why major decisions were made in the last 12 months? Companies that cannot are operating on institutional memory, which is fragile.
Organizational Structure (5 Points)
- Span of control — Calculate the average number of direct reports per manager. Below 3 means management bloat. Above 10 means managers are stretched and coaching is absent.
- Actual vs. formal reporting lines — Compare the org chart to real communication patterns. If the CTO's top communication partner is the VP of Sales (not engineering leads), the org chart is fiction.
- Key person dependency — Identify individuals who are single points of failure. If removing one person would break more than 30% of active workflows, that is unhedged risk.
- Layer count — Count the number of organizational layers from CEO to individual contributor. For companies under 500 people, more than 5 layers suggests premature bureaucracy.
- Role clarity — Assess whether critical functions (revenue operations, data engineering, security) have clearly assigned ownership or are spread across multiple people with ambiguous accountability.
Talent and Retention Signals (5 Points)
- Regrettable attrition trend — Track voluntary departures of high performers over 24 months. A spike 6-9 months before a deal often means insiders see problems the data room does not show.
- Engagement decay patterns — Measure changes in communication volume, collaboration breadth, and response times for individual employees. Disengagement is visible in behavioral data 60-90 days before a resignation letter.
- Hiring velocity vs. plan — Compare actual hiring against the staffing plan. Persistent unfilled roles (open 90+ days) in critical functions signal either compensation problems, employer brand issues, or unrealistic planning.
- Onboarding effectiveness — Measure time-to-productivity for new hires by tracking when their communication and execution patterns converge with tenured employees. If new hires take 6+ months to ramp, the organization has a knowledge transfer problem.
- Leadership bench depth — For each critical leadership role, assess whether a credible internal successor exists. Single-threaded leadership with no bench is a deal risk that compounds post-acquisition.
How to Use This Checklist
Score each item on a 1-5 scale, where 1 represents a critical finding and 5 represents no concern. Any item scoring below 3 should appear in the investment committee memo with a remediation plan and estimated cost.
The items most frequently missed by deal teams — communication silos, decision reversal rates, and engagement decay — are the ones that tend to destroy the most value in the first 18 months post-close. They are invisible in financial statements, unmentioned in management presentations, and absent from traditional quality of earnings reports.
That gap between what the numbers say and what the organization actually does is where operational diligence earns its return.
