Market Shaping Enterprise

How to Know Which You Are

The simplest diagnostic comes from the IPI peer-group productivity charts. Plot your company’s productivity trajectory against your direct competitors over the past five years. If your curve moves with the pack: You are being shaped by the market. External forces (commodity prices, labor markets, regulatory changes, technology cycles) drive your performance in the same direction as everyone else. Your wins and losses largely mirror your peers. If your curve diverges from the pack: You may be shaping the market. Something about how you operate produces different outcomes than the same external forces produce for your competitors. Divergence alone is not proof of market shaping. A company can diverge downward through mismanagement. Productivity divergence should be treated as a signal, not definitive proof. The test is whether your divergence forces others to respond. Did competitors change their approach because of what you did? Did suppliers restructure their offerings? Did customers recalibrate their expectations?

The Core Distinction Market Shaped (Most Companies) Market Shaping (Rare) Productivity follows the peer group Productivity diverges from peers Optimizes within fixed rules Changes the rules Reacts to market conditions Creates market conditions Competes on execution Competes on operating model design Shaped BY the landscape Shapes THE landscape Market shaping reflects a shift from reacting to externalities toward integrating sensing, decision-making, and execution into a coherent system that others must follow.

What Markets Actually Pay For

Companies do not pay for productivity internally. They pay for controllability and consistency. Productivity matters only when it shows up as durable cash flow. “The only time they care is when the margins are up. So what they pay for is controllability and consistency.” – Jim Beilstein (via Mike Carroll) This insight reframes the COO’s challenge. The goal is not productivity improvement as an end in itself. The goal is demonstrating that you are in control of operations, that results are predictable, and that this control translates to margin performance that investors can rely on. One indicator shows up in earnings calls: companies using the language of control (“we delivered,” “we executed,” “we achieved”) are performing. Companies using the language of effort (“we are working on,” “we are investing in,” “we are focused on”) are struggling. This signal should be treated as a hypothesis to test rather than a deterministic indicator.

What Enables Market Shaping: The 10 Characteristics

Source: Mike Carroll’s conceptual framework These characteristics emerged from studying companies whose productivity curves diverge from their peer groups. They are not a checklist to implement sequentially. They describe what market-shaping companies look like when you examine how they operate. 1. Strategic Intent Travels as Decision Logic In most companies, strategy exists in documents and presentations but does not reach the decisions made on the plant floor. The gap between strategic intent and operational reality creates productivity efforts focused on optimizing inputs rather than changing how decisions get made. Market Shaping Enterprises close this gap by encoding strategic intent into the rules that govern operational decisions. A machine operator does not need to know the corporate strategy document. The decision logic embedded in their work already reflects it. This reduces escalation, makes trade-offs explicit at the point of action, and compresses the time between insight and execution. This encoding of intent becomes critical when external market signals require rapid operational response. 2. The Operating Model Improves Itself Most operating models are static. They define how work gets done, and improvement means doing that work better. Feedback adjusts actions, but the decision framework remains fixed. Call this a first-order operating model. Some companies operate differently. They continuously improve how decisions get made, not just what decisions get made. Decision rights, approval thresholds, and trade-off rules evolve as conditions change. The operating model learns. This prevents the slow decay where yesterday’s optimal process becomes today’s constraint. Note: The team has debated whether “second-order operating model” is the right term for this. The concept is clear, but the label may need refinement before external use. 3. Hierarchy Flattens Because Decisions Become Clearer Hierarchy exists to resolve ambiguous decisions. When someone at the edge does not know what to do, they escalate. Layers of management exist to provide that resolution. When decision logic is explicit, this mediation becomes unnecessary. Decision rights move closer to context. Approval chains give way to guardrails that define boundaries rather than gates that require permission. Management shifts from making decisions to improving the system that makes decisions. Structure flattens not through reorganization initiatives but because the need for layers disappears. 4. People Have Real Agency Agency means people can act, not just execute. In market-shaping companies, agency is built into the operating system rather than granted informally by good managers. People act faster and with greater accountability because they have the information, authority, and decision logic to act in the spirit of strategy without waiting for approval. This requires clear strategic intent, explicit constraints, and outcome-based accountability. Industrial AI and advanced analytics can extend this agency by handling routine decisions and surfacing those requiring human judgment. 5. How You Operate Becomes What You Sell Market Shaping Enterprises compete through how they operate as much as what they sell. Unique products emerge from unique production processes. Decision dynamics that enable faster experimentation, quicker scaling, and continuous adjustment create differentiation that competitors struggle to copy. This matters because products can be reverse-engineered, but operating models cannot. A competitor can see your product. They cannot see the thousands of decisions that produced it on time, at quality, at cost. When operating advantage and competitive advantage converge, you have a moat that widens with every improvement cycle. While operating-model practices can be observed, their replication is costly and uncertain due to social complexity, learning curves, and causal ambiguity. 6. Transparency Enables Speed Hidden work slows everything down. When decision logic is opaque, people second-guess, hedge, and wait. When trade-offs are visible and the reasoning behind decisions is clear, people act with confidence. Trust becomes structural rather than personal. You do not need to trust that a specific manager will make good decisions. You trust that the decision system produces good outcomes. This allows fast decisions to scale across the organization without quality loss. 7. Innovation Emerges Everywhere Centralized decision-making forces innovation to originate at the center and scale slowly. Every new idea must climb the hierarchy, get approved, get resourced, and get pushed back down. The bottleneck is not idea generation but idea processing. When decision logic is shared rather than centralized, innovation can emerge anywhere in the system. Local experiments get evaluated against clear criteria. Successful ones scale quickly because the mechanism for scaling is built into how decisions propagate. Learning travels faster than hierarchy allows. 8. Quality Is Decided, Not Inspected Most quality systems catch defects after they occur. Market Shaping Enterprises embeds quality into decision logic so that defects do not occur. Trade-offs that affect quality are explicit at every point of action. The cost of compliance approaches zero because compliance is how work gets done, not something added to work. When quality becomes consistently reliable, it resets market expectations. Customers stop accepting what competitors offer. The market-shaping company has raised the bar. As operating models mature, the marginal cost of compliance declines materially because compliance becomes how work gets done. This does not imply zero cost; prevention and learning investments remain essential. 9. Growth Comes from Building the Capacity to Build Market Shaping Enterprises do not just grow. They build the capacity to grow. This means extending decision logic, learning, and capability beyond the firm boundary through supplier networks, partner ecosystems, and platform architectures. Growth compounds when suppliers improve because they operate within your decision logic. Knowledge diffuses rapidly across the value chain. The capacity to stand up a new plant, enter a new market, or launch a new product becomes a repeatable capability rather than a heroic effort. External collaboration becomes a force multiplier for internal operating advantage. 10. Internal Execution Reshapes External Expectations When decisions are consistently faster, better, and aligned, internal execution changes what external stakeholders expect. Customers expect higher quality. Regulators see what is possible. Talent gravitates toward the company because the operating system itself is attractive. Market shaping shows up as raised norms across safety, sustainability, and performance. Competitors must respond or accept permanent disadvantage. The company’s internal design has become an external power. A Concrete Example: Decision Logic and the $10 Million Quality Problem Mike Carroll described a situation from Georgia-Pacific that illustrates how decision architecture creates or prevents market-shaping capability. The company faced a quality issue with toilet paper. The product was coming off the machine rougher than specification. Customer complaints increased. The response was to approve $10 million in capital expenditure to fix the production equipment. The root cause was different. Pulp is sold to specification, but the certificate of analysis that accompanies each shipment describes the actual characteristics of that specific batch: fiber length, curl, moisture content. The production equipment needed to be adjusted based on these incoming material characteristics to maintain output quality. No one was reading the certificate of analysis. Procurement was buying on price. Operations was running standard parameters. The $10 million capital project addressed a symptom. The actual problem was a gap in decision logic: no one had defined who was responsible for translating incoming material variation into production adjustments. A market-shaping company would have this decision logic explicit. The certificate of analysis triggers a decision about production parameters. Someone owns that decision. The trade-off between material cost and quality is visible. The $10 million problem never occurs. This example shows why hierarchy flattens when decisions are clear (characteristic 3), why quality is decided rather than inspected (characteristic 8), and why operating advantage becomes competitive advantage (characteristic 5). The same external conditions (variable pulp supply) produce different outcomes depending on whether decision logic is explicit.

What This Means for COOs

Not everything about market shaping is within the COO’s control. Product strategy, market selection, and capital allocation often sit elsewhere. But several levers are directly within the COO’s domain: Decision architecture is yours. How decisions get made in operations, who has authority, what requires escalation, what trade-offs are explicit versus hidden: these are operating model choices the COO controls. Learning speed is yours. How quickly the organization detects problems, understands causes, and adjusts is an operational capability. Closing the loop between signal and response is a COO responsibility. Controllability is yours. Demonstrating to the board and investors that operations are in control, that results are predictable, that surprises are rare: this is what COOs get paid for. New capability deployment is yours. Standing up new lines, new plants, new products at speed and quality: this execution capability determines whether strategic options are real or theoretical. While these levers are necessary, they are not sufficient on their own; they enable market shaping only when paired with real market opportunity and leadership alignment. The COO cannot single-handedly make the company market-shaping. But a COO who builds these capabilities creates the foundation. A company cannot shape markets if it cannot control its own operations. Industry Variation The applicability of market shaping varies by industry structure. Differentiated product industries (consumer goods, high tech, life sciences) can shape markets through both unique products and unique processes. Apple shapes through product design AND supply chain execution. Commodity and process industries (chemicals, pulp and paper, basic materials) have limited product differentiation. You cannot make unique gasoline. For these industries, operational excellence IS the differentiation. The operating model is the only lever. This explains why Dow keeps spinning off specialty businesses and retaining commodity chemicals. The specialty businesses can differentiate on product. The commodity businesses must differentiate on operations or not at all. For COOs in commodity industries, the market-shaping question is sharper: can your operating model produce outcomes that competitors cannot match? If not, you are shaped by the market along with everyone else. Connection to LNS Research Builds on: - Industrial Productivity Index (IPI): The peer-group charts that revealed productivity convergence - World’s Most Productive Companies: The companies that bend the curve are the candidates for market-shaping analysis - COO Strategic Imperatives: Operating model, M&A integration, and culture all connect to market-shaping capability - Intelligent Supply Network: Extending decision logic beyond firm boundaries (characteristic 9) Connects to: - M&A Integration research: M&A stress-tests decision architecture. Companies with clear decision logic integrate faster. The four dimensions (permission, latency, decision geometry, burden) describe what breaks when two companies combine. - Industrial AI: Agency (characteristic 4) requires AI that can reason causally, operate within guardrails, and extend human decision-making rather than replace it. 2026 Theme: “Market Shaping Enterprises: Benchmarking the World’s Most Productive Companies” The visual metaphor: In the past we gave COOs a windshield to see what was happening. Now we can give them a steering wheel, gas pedal, and brake so they can break away from the pack instead of flowing down the river with everyone else. Causal Model Requirements Two distinct causal models are needed to make this research rigorous: • What creates a Market Shaping Enterprise? What conditions, decisions, and capabilities cause a company to diverge from peers and force market adaptation? • What causes a company to be shaped by the market? What conditions cause productivity convergence with peers and inability to escape market forces? These are two sides of the same hypothesis. One produces advantage, one produces disadvantage. The causal model work is in progress with Mike Carroll, Steve, and Jim Beilstein. Examples Company Market Shaping Evidence Apple iPhone created a category. Competitors had to respond to touch interfaces, app ecosystems, and premium pricing. Supply chain execution enables product cadence no one matches. Tesla Early Model S reset EV expectations. Established automakers accelerated EV programs in response. Direct sales model forced regulatory battles that reshaped dealer franchise laws. Amazon API-first architecture enabled internal speed that externalized as customer expectations. Two-day shipping became the standard others had to match. Operated unprofitably while taking share, reshaping retail economics. Danaher Stock price stability indicates operational control. Danaher Business System is the operating model that produces consistent results across diverse businesses. Acquisitions get integrated into this system. However, Spin-offs from Danaher do not perform well in the market. Positioning Note: Why “Shaping” Not “Control” The team considered “operational control” as the framing but decided against it. Control sounds rigid and potentially authoritarian. It conflicts with messaging around servant leadership and empowerment. “Shaping” captures the same idea with positive connotations: you shape your future, you shape outcomes, you shape the market. It is also visual (shape of the curve) and connects directly to the IPI data.