Definition
Operational due diligence (ODD) is the examination of a target company's operations, capabilities, costs, risks, and improvement opportunities to inform an acquisition decision and post-close action. It tests whether the business can deliver the operating assumptions underlying the investment thesis and what must change to realize the proposed value.
For VPP, the output should be more than a list of observations. Each material finding should connect evidence to an underwriting implication, a decision, and an accountable post-close action.
What operational due diligence should examine
The scope should follow the deal thesis and the target's operating model, not a universal checklist. VPP recommends prioritizing the assumptions that could materially change the investment decision or the execution plan.
- Capacity and throughput: Test whether equipment, labor, yield, maintenance, and scheduling support the proposed volume and product mix.
- Supply assurance: Review critical suppliers, qualifications, lead times, concentration, commercial obligations, and credible alternatives.
- Cost structure: Distinguish variable cost, fixed commitments, underinvestment, and expenses that will remain after a planned change.
- Service and quality: Examine delivery performance, backlog, customer requirements, defects, returns, and the resources required to address them.
- Inventory and logistics: Evaluate stock quality, working-capital needs, facilities, transportation, and constraints between operating stages.
- Execution capability: Assess management capacity, systems, data quality, dependencies, and the organization's ability to absorb change.
The diligence team should identify what is known, what is estimated, and what remains unverified. Restricted access or incomplete records should reduce confidence in an assumption, not disappear from the investment narrative.
ODD versus financial and commercial due diligence
Financial due diligence examines the financial evidence underlying the transaction, while commercial due diligence evaluates the market, customers, competition, and growth assumptions. ODD examines whether the operating system can support those assumptions and what resources, risks, and actions are involved.
These workstreams should inform one another rather than operate as separate reports. A commercial growth opportunity can be real even when the target lacks the capacity to serve it, and a financial margin target can depend on an operating change that has not been tested.
VPP recommends reconciling those dependencies before finalizing the value-creation plan. Do not treat an operating opportunity estimate as a substitute for financial validation or transaction-specific legal advice.
Example: Nameplate capacity can overstate saleable output
Consider a hypothetical manufacturer whose plan requires 160,000 good units from one constrained process. Management cites 2,000 productive running hours, already adjusted for downtime, and a demonstrated rate of 80 gross units per running hour.
The resulting 160,000-unit calculation assumes that every produced unit is saleable. Suppose diligence instead identifies a 90% good-output yield, with no recovery of rejected units included in this simplified model.
| Illustrative capacity measure | Amount |
|---|---|
| Productive running hours after downtime | 2,000 |
| Running rate | 80 units per hour |
| Gross output before yield losses | 160,000 units |
| Assumed good-output yield | 90% |
| Modeled good output | 144,000 units |
| Required good output | 160,000 units |
| Unresolved gap | 16,000 units |
At 72 good units per hour, closing the gap through additional time alone requires approximately 223 additional production hours. That is a planning requirement, not evidence that the hours, labor, materials, or downstream capacity are available.
Assume the 2,000 hours already reflect downtime and that no other bottleneck has been modeled. The diligence team must avoid subtracting the same loss twice and must validate the boundaries of each input.
The finding should lead to explicit alternatives: demonstrate a credible yield improvement, validate extra operating hours, qualify outside capacity, revise the growth ramp, or assess additional investment. Each alternative needs a cost, timing, owner, and feasibility assessment.
This example is hypothetical, not a VPP client result. It shows why a growth assumption should be connected to good output and executable resources rather than a single capacity figure.
VPP's evidence-to-execution approach
VPP organizes operational diligence around five connected work products. The depth of each depends on access, materiality, and the transaction timetable.
- Reliable data foundation: Reconcile operating, purchasing, logistics, and financial records into an agreed analytical baseline.
- Decision-ready operating views: Connect spend, items, suppliers, customers, lanes, and facilities where those relationships affect the thesis.
- Value and risk scenarios: Separate standalone improvement from deal-enabled synergy and test the constraints, investments, and downside cases.
- Execution-ready priorities: Translate findings into sequenced actions with owners, dependencies, and near-term milestones.
- Measurement and feedback: Establish how operating progress and financial effects will be validated after close.
AI-assisted preparation can be evaluated for data normalization and exception identification, but VPP recommends retaining operator and finance review of decision-critical outputs. A plausible pattern in a data set is not the same as a verified operating fact.
Pre-close planning is not permission to integrate
Transaction parties must observe applicable restrictions on sensitive information sharing and premature coordination. VPP recommends counsel-led access protocols, appropriate clean-team arrangements, and clear boundaries between analysis and execution.
A clean team is a controlled process, not blanket permission to share customer-level pricing or jointly direct the businesses. Determine what information can be used, by whom, and for which purpose before requesting or circulating it.
Frequently asked questions
- Is ODD only about finding problems? No. It should test risk and identify credible operating upside, with the resources and actions required to capture it.
- Does ODD end when the diligence report is delivered? VPP recommends carrying material assumptions and findings into the post-close operating plan. The investment thesis should remain traceable as better information becomes available.
- Can an industry benchmark establish the opportunity? It can suggest a question, but it does not establish a target's executable benefit. Validate the relevant processes, constraints, baseline, and implementation requirements.
Connect underwriting to the operating plan
VPP brings operator-led procurement, logistics, and analytical experience to the assumptions behind a transaction. Start with the investment thesis, test the conditions that matter, and turn findings into a plan the post-close team can own.