For Value Creation Clients
Commercial Intelligence for the Decisions That Shape the Hold and Compound the Outcome
The difference between a value-creation plan that compounds and one that stalls usually comes down to whether the commercial thesis behind each initiative was tested against ground truth before capital, time, and management attention were committed. Monthly reporting and internal data describe what the business can see from the inside. They do not describe what customers actually value, what prospects are choosing instead, or where competitive dynamics are quietly shifting share — the outside-in signals that determine whether the plan is working.
Grounded in Outside-In Evidence
Financial metrics describe what happened. Internal reporting describes what the organization sees from the inside. Neither describes why customers are buying, why prospects are not, or where competitors are quietly gaining ground — the outside-in signals that determine whether a value creation plan is working. Matters Graph brings those signals to the table.
Built for the Decisions Value Creation Turns On
Mid-hold, the board, the operating team, and management often hold different reads on what is working, what is stalling, and what the next move should be. Outside-in commercial evidence (from customers, channel partners, and competitors) lets the three perspectives align on the same facts rather than negotiate among competing internal narratives.
Carries Through Hold and Exit
The next buyer’s diligence will pressure-test every claim in the equity story. Commercial evidence built during the hold (customer behavior observed over time, market dynamics tracked quarter after quarter, competitive position measured not asserted) turns the exit narrative from a pitch into documented commercial reality.
The next buyer’s diligence will pressure-test every claim in the equity story. Commercial evidence built during the hold turns the exit narrative from a pitch into documented commercial reality.
The Measurement Gap
A deal team’s underwriting view of the business rarely survives first contact with operations. It was built to clear IC, not to guide monthly resource allocation, pricing decisions, or the sequencing of growth initiatives across a three-to-five-year hold. Once the transaction closes, value creation teams and portfolio company management rely on the same two sources of commercial information: financial metrics that describe what already happened, and internal reporting that describes what the organization can see from the inside. Neither describes what customers are doing, what prospects are choosing instead, or where competitive dynamics are shifting. That is the measurement gap.
The gap matters because almost every consequential decision across the hold period turns on commercial questions the internal data can’t answer. Which growth initiatives are real and which are management narrative? Where is pricing power genuine and where is it fragile? Which segments are buying, which are drifting, and why? What is the true shape of the addressable market once behavioral segmentation is applied? Decisions made without evidence on these questions are decisions made on assumption. And assumption, carried across a hold period, compounds into the kind of mid-hold reset that burns quarters, pushes past multiple-expansion windows, and can force the continuation vehicle the fund did not intend to need.
Commercial assumptions, carried across a hold period, compound into the kind of mid-hold reset that burns quarters, pushes past multiple-expansion windows, and can force the continuation vehicle the fund did not intend to need.
First-principles commercial work early in the hold does not prevent every correction, but it reduces how many become dig-outs, and the cost of the ones that remain. Matters Graph builds commercial diligence and Voice of Customer programs that close the measurement gap for value creation teams and management teams working the hold period together. The work starts with commercial diligence that establishes depth of understanding early and extends into post-acquisition programs tailored to growth mandates. These programs produce leading indicators from the three groups that determine the company’s commercial future—current customers, competitor customers, and non-user prospects—in a measurement infrastructure that runs quarter after quarter, not as a one-time snapshot that goes stale before the first board meeting.
That work serves twin objectives. It helps the value creation team and management team identify the commercial moves most likely to improve performance, and it builds the measurement infrastructure that tracks progress through the hold and stands up to the next investor’s diligence at exit. Both require commercial diligence that produces real learning, not filler.
Diligence that produces real learning, not filler.
Investigators Who Seek Out the Critical Nuance
Some of the strongest-performing deals in private equity have something in common: they never had a real process. The sponsor developed a proprietary thesis over months or years, approached the target directly with a commercial view the banker-led bidders would not have for another six months, and won the deal at a price the process would not have supported. Pre-empting is not a tactic. It is a capability built from sustained commercial intelligence. That same intelligence sharpens the entry, arms the operating team through the hold, and stands behind the exit when the next buyer’s diligence tests it.
Evidence That Holds Up Under Scrutiny — First Principles
Every value creation plan is, at its core, a bet on customers. Will they buy more? Will they pay more? Will they stay? Will new ones come? A commercial strategy not grounded in the voices of the people making those purchase decisions is a strategy grounded in management representations and internal assumptions—the two sources with the most reason to describe the business the way the organization wants it to be seen. A value creation plan is a sequence of customer behaviors the operating team is betting on. Customer evidence is what turns the hypothesis into a sound plan. The only way to build that plan with conviction is to ask the people who will make those decisions.
A value creation plan is a sequence of customer behaviors the operating team is betting on. Customer evidence is what turns the hypothesis into a sound plan.
The experts that matter for a value creation commercial question are the portfolio company’s customers, its lost customers, the non-users who should be customers but aren’t, competitors’ customers, and the channel buyers and influencers who shape purchasing decisions. The evidence that matters is gathered from them, at scale, under conditions built to hold up. Consulting firms typically compete on heritage brand and broad biography: qualifications, industry veterans, and prior work on adjacent assets. They too often sell conclusions derived from that experience or repurposed from earlier portfolio companies. The answers to value creation commercial questions are not in the advisor’s head or the operating partner’s pattern-recognition. They are in the market, waiting to be collected, and reached only by thesis-driven primary research that builds conclusions from the ground up.
When primary research is conducted, it is too often sourced through expert networks whose respondents are drawn from the network’s database without verified relevance to the portfolio company’s actual buyers, users, or decision-making process, rather than custom-sourced by those responsible for cracking the case: current users, prospective buyers with the problem the product solves, the influencers and decision-makers involved in the purchase, lost customers, competitors’ customers, and the channel participants who shape which options reach the decision-maker. In most markets, the purchase itself is cross-functional and jointly made, which means the research has to reach the full decision-making group, not just the budget holder. Expert networks match firms with individuals who have indicated some connection to the relevant industry, but there is limited structural verification that their experience maps to the buying behavior the value creation plan depends on. The first few calls may surface someone genuinely relevant; beyond that, relevance declines because the network’s business model rewards completed calls, not respondent quality. The result is a set of responses that sound informed but carry no verifiable connection to the decisions the growth plan depends on. When consulting firms use these calls as source material and present curated quotes in a deck, the provenance is invisible to the board and the operating team. What remains are quotes that support the narrative, not a representative read of customers, lost customers, non-users, channel participants, and the decision-makers whose behavior the value creation plan underwrites.
High-N Research Drives Distinctive Insights
Value creation work requires statistical confidence small-sample research cannot deliver. A handful of customer calls can tell a story; they cannot confirm whether that story holds across the portfolio company’s full addressable market. The commercial assumptions in a value creation plan need to hold up at scale, not anecdotally. High-sample-size, custom-sourced Voice of Customer and Voice of Channel research is how they get tested.
The pricing lever that only exists in one segment
Management’s growth plan assumes 10–15% pricing headroom across the base. At high N, you can segment by use case, customer size, and competitive alternative. The headroom is real for one segment and near zero for another that represents 40% of revenue. The value creation plan built on blended pricing upside over allocates resources to a lever that will not pull.
The channel dependency the operating plan inherits
The sponsor’s entry diligence showed strong customer satisfaction. At high N, you discover that satisfaction scores are high among direct-sold accounts but materially lower among channel-sourced customers, who now represent a growing share of the mix. The go-to-market plan that leans into channel partners is leaning into the segment with the weakest retention.
The adjacency that looks like TAM but behaves like a different market
The value creation plan targets an adjacent vertical as a growth lever. At high N, you can measure buying behavior, decision criteria, and competitive set in that vertical separately. The adjacent buyers value different features, buy on different timelines, and churn at twice the rate. The TAM number includes them; the operating model does not fit them.
In commercial diligence, the point of diminishing returns is at significantly greater scale than what most diligence exercises attempt. That is the opposite of most market research. A small-sample study can measure an aggregate; it cannot reliably discover behavioral segments, low-incidence high-impact switching drivers, channel-specific dynamics, or lost-customer patterns that drive aggregate outcomes, each often statistically invisible at low N. A customer segment that is 10% of the base but responsible for a disproportionate share of growth or churn is the kind of concentration that decides whether a value creation plan performs, and at a sample size that produces only a handful of observations, the pattern cannot be distinguished from noise. The marginal interview is not redundant; it is often the one that reveals what the earlier interviews could not see.
The marginal interview is not redundant. It is often the one that reveals what the earlier interviews could not see.
A portfolio company’s addressable market is not what the value creation plan says it is. It is the aggregate of behavioral segments inside it, each responding to different offers, priced differently, retained differently, growing at different rates. The plan’s SAM number is the rollup; the segments are the reality. Discovering and sizing those segments requires sample sizes that small-N studies, the fifteen-to-thirty interview exercises typical of most commercial diligence providers, cannot produce. At the sample sizes we field, structured survey analytics isolate which behavioral features predict retention, expansion, and switching at the cohort level—turning segment structure from an assertion into a measured input to the value creation plan. For a value creation team building a growth thesis on an assumed SAM, an oversized SAM is not a modeling risk. It is a growth decision built on the wrong denominator.
What We Don’t Do
No sell-side CDD for bankers or sellers. Matters Graph does not produce the vendor due diligence commissioned when a portfolio company is being shopped to the next buyer, and does not represent portfolio companies being sold. The next buyer’s diligence cannot come from the same practice that sold them the asset; the evidentiary standard a value creation plan needs during the hold is incompatible with the promotional discipline sell-side work demands.
No implementation. Matters Graph does not run PMOs, deliver transformations, or serve as interim management. Findings that recommend work the firm can later sell are not findings; they are pitches. Independence between diagnosis and delivery is what makes the commercial conclusions the Value Creation team and management can use to decide.
Not an operating partner or functional leader. Matters Graph is the commercial-evidence layer the Value Creation team and management use to make decisions. It isn’t the Value Creation team, and it isn’t management. Independence between evidence and decision-maker is what makes the findings usable inside a value creation process that doesn’t need more voices, it needs a cleaner signal.
When Value Creation Teams Engage Matters Graph
- Augmenting a lean operating-partner team: When value creation coverage sits with a small operating-partner group and the bandwidth, specialist depth, or project-specific capacity for customer-sourced commercial work isn’t in-house
- Breaking through stalled decisions: When the board, the value creation team, and management have been circling the same pricing, go-to-market, or resource-allocation question for a quarter or more and the conversation is stuck on internal views that don’t move it forward. Outside-in commercial evidence often lets the three rooms align on the same facts and make the call
- Testing a new growth initiative: When management is pursuing new markets, adjacencies, or product extensions and independent evidence on demand and competitive white space is needed before capital is committed
- Validating pricing opportunities: When evidence on willingness-to-pay, price elasticity, and competitive pricing dynamics is needed to support a pricing reset, an architecture redesign, or a targeted move on a specific customer segment
- Re-underwriting mid-hold: When the thesis has stalled, the competitive landscape has shifted, or early hypotheses have met reality, and the value creation plan needs ground-up reassessment built on current market evidence
- Informing the hold-vs-exit decision: When the Value Creation team and IC are weighing whether the commercial runway ahead justifies another hold cycle or whether the business has substantially realized its commercial potential, and primary-research evidence on remaining headroom, competitive position, and next-owner runway is what the decision turns on
- Preparing for the next investor’s diligence: When the exit process will put the growth story through buy-side CDD and customer-sourced commercial evidence is needed to establish that the claims survive independent interrogation
- Standing up a commercial measurement system: When baseline commercial measures are needed at close and a recurring program is required to track progress against the value creation plan from day one, quarter after quarter, not a one-time snapshot
Commercial Diligence Built for Value Generation, Not Just Deal Support
Value creation work is a distinct commercial mandate: identify the few initiatives that can improve performance, and build the evidence base that lets the Value Creation team and management team commit to them with conviction. That is different work from transaction diligence—the rigor is the same, but the questions are different, the audience is different, and the deliverable has to survive contact with operating reality rather than the bid deadline.
The questions that matter are practical and consequential. Where is growth available—by segment, customer type, channel, geography, or product? What is constraining conversion, retention, pricing, share gain, sales productivity, channel effectiveness, or expansion into adjacencies? Which commercial levers deserve management attention now, and which belong on the ‘ideas that sound attractive but do not survive scrutiny’ pile? Matters Graph does the primary research to answer these questions with commercial evidence, not internal conjecture.
Research That Reveals What Will Actually Improve Performance
Value creation is frequently slowed by misdiagnosis. A business may appear to have a sales execution problem when the deeper issue is positioning. It may appear to need a pricing reset when the real constraint is channel conflict, customer concentration, weak product-market fit in an important segment, or a market whose practical growth ceiling is lower than management has assumed. The wrong diagnosis produces the wrong value creation plan, and the wrong plan burns a year or more of the hold period before the misdiagnosis becomes obvious.
The research required to avoid that (Voice of Customer and Voice of Channel work, competitor assessment, behavioral segmentation, win-loss patterns, pricing and packaging feedback, route-to-market evaluation, and a view of demand-side conditions grounded in primary evidence rather than management’s account) is what separates a value creation plan built to move the business from one built to fill a PowerPoint. Matters Graph does that research the way it needs to be done: primary-sourced, high-sample-size, and focused on the specific commercial questions the plan will turn on.
Analysis That Separates Real Levers From Management Narrative
Research produces evidence. Analysis is what turns evidence into decisions. Every value creation engagement begins with a set of hypotheses, from the Value Creation team, the board, management, or an early reading of the commercial facts, and analysis tests those hypotheses against the primary evidence, with an explicit posture: validated levers get pressed; hypotheses the evidence does not support get named as such, whether they came from management or from the sponsor’s own early thinking.
This matters because the gravitational pull in post-close work is toward convergence on management’s narrative. Management has the clearest picture of what the business can see from the inside; they have the longest exposure to the specific situation; and in the quarterly-meeting cadence of portfolio oversight, their reading of what is working compounds into shared truth. Independent analysis built on outside-in evidence is the counterweight. Not adversarial to management. Rigorous enough to hold its own view when the evidence points somewhere management hasn’t yet seen.
The gravitational pull in post-close work is toward convergence on management’s narrative. Independent analysis built on outside-in evidence is the counterweight.
Recommendations That Management Teams Can Realistically Execute
Recommendations are the output that justifies the research and the analysis. They are also the point at which most commercial work fails: a deck of ideas presented, nodded at, and then quietly dropped into an already-long list of value creation priorities that nobody has the capacity to execute. The recommendations that move the business are the ones that survive contact with operating reality—sequenced against what management can realistically carry, ranked by the size of the commercial evidence behind each one, and specific enough that the Value Creation team and management team know not just what to do but what to do first.
“Most commercial work fails at the recommendation stage: a deck of ideas presented, nodded at, and then quietly dropped into an already-long list of value creation priorities nobody has the capacity to execute.
The discipline of research plus analysis plus executable recommendations, applied consistently across the hold period, produces more than good individual decisions. It produces a documented, evidence-based record of how the portfolio company’s commercial position has been managed—an LP-ready management system that sponsors can point to as evidence of structured, disciplined portfolio oversight rather than ad-hoc intervention when something breaks.
Commercial Intelligence Across the Full Hold Period
Commercial needs evolve across the hold. What the Value Creation team and management need to know at 100 days is different from what they need to know at mid-hold reset, and different again in the run-up to exit. The modules below describe how commercial work adapts to each stage.
When the next investor’s diligence goes deep, the commercial claims hold up because they were built on evidence all along.
Services for Value Creation
Commercial Diligence for Value Creation
Primary-research-driven commercial analysis designed for post-acquisition use: re-measured market sizing and behavioral SAM under the new ownership, competitive landscape and positioning shifts since close, customer segmentation and decision dynamics, retention and churn relative to the underwriting assumptions, unit economics at the cohort level, pricing architecture and elasticity, go-to-market effectiveness, and the evidence needed to sharpen or revise the value creation plan. Findings are organized around the decisions the Value Creation team and management are making together, not around a deal-timeline template.
Commercial Re-Underwrites
Mid-hold diagnostic studies that reassess the commercial strategy against current market evidence: diagnosing why the business is performing the way it is, what runway remains, and whether a pivot in pricing, products, go-to-market, or channels is warranted. Scoped to the question the hold period is asking, not the question the original CDD answered.
Pricing Opportunity & Strategy
Primary-research work that identifies where the real pricing opportunity sits and the strategy required to capture it durably: which segments support which price points, which customers value what enough to pay for it, and which pricing moves will hold through competitive response rather than trigger the share loss that cancels the gain. Conjoint analysis, Van Westendorp price sensitivity, and segment-level elasticity modeling used where the evidence requires them — selected by the question, not the template.
CVG Value Management
Commercial measurement infrastructure that runs quarter after quarter through the hold period: tracking customer behavior, brand equity, competitive position, market share, and remaining headroom against the value creation plan so that progress is measured with evidence rather than asserted with anecdote. Built into the board book and the quarterly business review, not filed as a separate workstream.
Thesis-Organized Deliverables
Work product structured around the commercial decisions the Value Creation team and management are making, not around consultancy convention. Every chapter answers a question the plan raised; every finding earns its place by informing a decision. Shorter, sharper, and built to be cited in the board book, the quarterly business review, and the exit preparation materials.
Für Private Equity
Buy-side diligence built for the exit, not just the checkpoints.
Für Privatkredit
Better decisions at origination and during impairment.
Für Unternehmensentwicklung.
Diligence for acquisitions that must solve and must hold.