PE Value Creation
Improve execution of the value-creation plan across the hold period.
Latent Variables improves execution of priority value-creation initiatives: it tests the plan's assumptions with the organization delivering it, informs adjustments to initiatives, coordinates delivery with portfolio-company management, and measures conditions throughout the hold period.
What the operating team has throughout the hold period
A continuing record of execution conditions
The baseline persists across quarters and waves, so the operating team and management work from accumulated context rather than isolated snapshots.
Initiative decisions with evidence attached
Findings connect to the initiative or operating decision they affect, with responses both the sponsor and management can evaluate and execute.
Coordination around changes to the plan
When an initiative is adjusted, the change reaches the teams delivering it, and their constraints inform the next operating review.
Leading indicators for the value-creation plan
Repeat conversations measure whether the conditions supporting the plan are improving or deteriorating, before the effects appear in operating metrics and financial results.
How Latent Variables supports priority initiatives throughout the hold period
Test the plan's assumptions
Conversations across the company test the value-creation plan against the organization expected to deliver it, initiative by initiative, before and during execution.
Adjust the initiatives
Findings are connected to the initiatives and operating decisions they affect. Sequencing, resourcing, scope, and ownership are adjusted on evidence, with the sponsor and management working from the same information.
Coordinate the delivery
The adjusted plan reaches the teams delivering it, with the reasoning explained. Local constraints are reported to the operating team while they are inexpensive to address.
Measure through the hold
Repeat conversations across the hold period measure whether the conditions supporting the plan are improving or deteriorating, and inform each operating review. Each wave builds on the context established by the previous one.
How findings change operating interventions
Two initiatives dependent on one function
The finding
Two priority initiatives depended on the same operations team in the same quarter. Each was viable alone; together they exceeded the function's capacity.
The response
The operating team and management re-phased the initiatives, protecting the one most important to the value-creation case.
The follow-up
The next conversations verified capacity had recovered, and tracked the re-phased initiative's re-entry.
A region performing above the plan
The finding
One region was outperforming the initiative's assumptions because of a local practice the plan had not accounted for.
The response
Management codified the practice and introduced it across comparable regions as part of the initiative.
The follow-up
Subsequent waves followed the transfer, identifying what each region needed for the practice to hold.
A dependency the plan did not account for
The finding
A margin initiative assumed a data process that was not yet reliable, and teams were building manual workarounds to meet near-term milestones.
The response
The plan was adjusted to resource the dependency first, accepting a short delay in exchange for execution that could scale.
The follow-up
Later conversations tracked whether the dependency cleared, and whether the manual workarounds were retired.
How the execution evidence is produced
One instrument covers the functions, sites, and workstreams responsible for each priority initiative, and the evidence accumulates into shared campaign context across the hold period.
One instrument across the portfolio company
The same instrument runs every conversation under one evidence protocol, so a claim made in one function can be weighed against accounts from the sites and workstreams it concerns.
Site differences treated as evidence
If a priority initiative performs differently across sites, the system compares the conditions surrounding execution and identifies which differences are associated with the stronger and weaker outcomes.
Context that persists across the hold period
Later reads begin from the evidence already established, so the operating team can measure whether the conditions behind an initiative improved after it acted.
What affects execution of the value-creation plan
Sponsors and management track financial and operating performance in detail. The value-creation plan also depends on organizational conditions that this reporting was not designed to measure.
Value-creation targets are set before execution can test them
Underwriting sets targets before the organization responsible for delivering them has been observed in execution. The plan's organizational assumptions come from diligence rather than from verification.
Operating metrics report results on a lag
Financial and operating reporting confirms outcomes after the period that produced them. The conditions that will determine the next period's results develop earlier and are difficult to observe through aggregate metrics.
The same initiative performs differently across the company
Each initiative meets different functions, sites, and teams. Aggregate results obscure where the initiative is working, where it is not, and the reasons for the difference.
Bring us one value-creation initiative.
We’ll describe which assumptions we would test, how the initiative could be adjusted, and how you would measure the conditions before the metrics move.
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