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Harvard Business School 9-301-041 September 15, 2000 Professor Clayton M. Christensen prepared this note as the basis for class discussion rather than to illustrate either effective or ineffective handling of an administrative situation. Copyright © 2000 by the President and Fellows of Harvard College. To order copies or request permission to reproduce materials, call 1-800-545-7685 or write Harvard Business School Publishing, Boston, MA 02163. No part of this publication may be reproduced, stored in a retrieval system, used in a spreadsheet, or transmitted in any form or by any means - electronic, mechanical, photocopying, recording, or otherwise - without the permission of Harvard Business School. 1 Using Aggregate Project Planning to Link Strategy, Innovation, and the Resource Allocation Process Scholars of the strategy-making process fall into two broadly-defined camps. Those in one camp view strategy-making as a deliberate process in which managers, often aided by consultants, analyze markets, customers, competitors, technologies and the economics of a business, and define a strategic course of action for a company. In this view, strategy-making is an analytical project, followed by implementation. The other view is that strategy is an emergent understanding: strategy evolves from the cumulative impact of operating decisions taken by management. In this model, the role of senior managers in strategy-making consists of ex post recognition and rationalization of actions that a company has already taken.1 Even the outspoken scholars at the extremes of these camps acknowledge that most strategies have deliberate and emergent elements to them. Managers attempt to see into the future and chart winning courses of action. But because the future can at best be seen only dimly, most companies’ strategies are also shaped by decisions about how to react to unforeseen events that are made at many levels of the organization. Many of the decisions which with the benefit of hindsight proved to be strategically pivotal ones, seemed at the time they were made to be tactical, with only short-term importance. In both of these models, strategy and innovation are two sides of the same coin. Deliberate, analytically formulated strategy can only be implemented through the stream of new products, services and processes that a company develops and introduces into its markets. And from the emergent side of the coin, the stream of products, processes and services that has flowed into the marketplace from a company's response to suggestions by competitors, salespeople, customers and engineers is the most tangible manifestation of what that firm’s strategy actually has been. In some instances -- especially during the initial phases of an organization's life -- managers must let a viable strategy emerge. There is strong evidence that analytical processes are almost always misleading at 1 The characterization of emergent versus deliberate strategy was first articulated in Mintzberg, Henry and James Waters, “Of Strategies, Deliberate and Emergent,” Strategic Management Journal (6), 1985, pp. 257-272. The works of Professor Michael Porter, including Competitive Strategy (New York: The Free Press, 1980); and Competitive Advantage (New York: The Free Press, 1985), typify the view that strategy-making is a deliberate process. The research of Professor Robert Burgelman (for example, “An Intra-Organizational Ecology of Strategy-Making,” Organization Science, 1991) and before him, of Richard Nelson and Sidney Winter (An Evolutionary Theory of Economic Change. Cambridge, MA: Belknap-Harvard Press, 1982), are outstanding examples of the school that views strategy-making as an emergent process. 301-041 Using Aggregate Project Planning to Link Strategy, Innovation, and the Resource Allocation Process 2 such times.2 But when a viable strategy has emerged, then a crucial challenge in the strategic management of innovation is to ensure that the two sides of this coin are as coherent as possible -- to be sure that the stream of innovations coming from a company -- its emergent or de facto strategy -- mirrors the strategy that its managers and stakeholders intend to pursue -- its intended strategy. Achieving this alignment is difficult because in most companies, the processes by which strategies are formulated operate autonomously from the processes by which development projects are defined, approved, and allocated resources. This note has been written to help students understand how and why misalignment between strategy and innovation often occurs, and to equip them with tools they can use to manage the resource allocation process so that strategy and patterns of innovation mirror each other. The Resource Allocation Process The actual mechanisms by which resources are allocated and prioritized are unruly, disobedient, strong-minded processes that operate almost without regard for the will of senior management. One reason why resource allocation is such a difficult process to control is that it is a highly diffused process. Senior managers may decide, for example, to authorize a new development project, and allocate a certain amount of money for it. The real resource allocation decisions, however, are made every day, as employees who play a role in the project decide whether they will put that project at the top of their “To Do” list, or give other assignments a higher priority. The product, once fully developed, needs to be sold. Every day, salespeople make decisions about which customers to call on, and which not to call on. And when they are with customers, they decide to push certain products and not to push other products. Engineering and marketing managers assign their best people to some projects and not others. All of these decisions are crucial resource allocation decisions. Collectively, they make the senior manager's job of managing the resource allocation process extremely difficult.3 Exhibit 1: The Aggregate Project Planning Framework Base Improvement Next- Generation Radical Create New Market Reach New Customers Sell more products to existing customers Replace Current Products N at u re o f T ec h n ol og ic al C h an ge Impact on Market Breakthrough Product/ brand support Derivative Platform 2 One of the most complete presentations of such evidence is in Bhide, Amar V., The Origin and Evolution of New Business. New York: Oxford University Press, 2000. 3 One of the finest books about the resource allocation process was written by HBS faculty member Joseph Bower, Managing the Resource Allocation Process. Using Aggregate Project Planning to Link Strategy, Innovation, and the Resource Allocation Process 301-041 3 Aggregate project planning (APP) is a tool that can link a company’s intended strategy with the mechanisms through which resources are allocated across development projects.4 The APP framework, depicted in Exhibit 1, characterizes projects as breakthrough, platform and derivative / support in character, depending on the technological risk and the newness of the markets inherent in the projects. Breakthrough projects are those that result in new products and processes that create new markets -- or those that employ radically new technologies to bring more effective products to existing markets. The Intel 8088 processor would be considered a breakthrough product, located toward the lower left corner of the APP matrix. It represented a modest technological stretch beyond the prior product (up the vertical axis), but opened an entirely new market, for personal computers. Platform products are those, from a market standpoint, that enable a major improvement in market share by enabling a company to reach new sets of customers. Oftennew platforms entail next generation technology as well. Platforms can be leveraged, typically, into a variety of derivative products with modest feature extensions or functionality improvements. Hence, Intel's introductions of its 286, 386, 486, Pentium, Pentium II, Pentium III and Itanium were successive platform projects, each leveraged by a series of derivative or extension products with suffixes such as SX, LX, DX, etc. When a market is emerging or undergoing radical change -- a period in which emergent strategy processes need to predominate, the strategy-making process depicted in Exhibit 2 generally flows from right to left. Ideas for new products flow somewhat unpredictably into a company, and get filtered through the criteria employed in its resource allocation decisions. Those ideas and opportunities that get funded populate the firm's new product portfolio. The stream of new products, processes and acquisitions that emerge from the development process define the firm's de facto strategy. Exhibit 2: The emergent strategy-making process Stream of new products, processes and acquisitions Opportunities, crises, and innovative ideas stream into a company from sales, marketing & engineering employees, plus competitors, customers, etc. Set of projects and acquisitions that get funded and executed C ri te ri a e m pl oy ed in re so u r ce a l lo ca tio n When deliberate strategy processes need to predominate, however, the strategy-making process needs to begin flowing from the left to the right, as depicted in Exhibit 3. It must begin with a clearly articulated, broadly understood strategy. Management is then asked to express the strategy in terms of a stream of projects to develop new products, processes and services. If implemented, this 4 The concept of aggregate project planning was first introduced in Wheelwright, Steven C. and Kim B. Clark, "Creating Project Plans to Focus Product Development," Harvard Business Review, March-April, 1992, pp. 10-82. 301-041 Using Aggregate Project Planning to Link Strategy, Innovation, and the Resource Allocation Process 4 stream of projects -- called an aggregate project plan -- would constitute implementation of the strategy. In Exhibit 3 a two-way arrow links strategy with the APP, however, because most management teams find that when they try to express their strategy in terms of a sequence of types of projects, they cannot do it -- the strategy has not been articulated with enough clarity and detail. Hence, the attempt to define a project set requires them to go back and clarify the strategy so that it gives useful guidance to those who must allocate resources. The second step in aggregate project planning is to juxtapose the projects that are required to implement the strategy, with a sense for how many development projects a company has the capacity to execute during any given period. The interactive arrows between the capacity box in Exhibit 3 and the strategy and APP boxes reflect the fact that in most companies, the strategic ambitions of management often exceed the capacity of the organization to execute the required projects. Exhibit 3: The Aggregate Project Planning Process Clearly articulated and broadly understood strategy & product line architecture What types of projects must we execute in order to implement our strategy, given our project capacity? Which ideas or combination of ideas can most effectively fulfill the strategic mission of each project? What resources does each type of project require, and how many projects do we have capacity to execute? Managing capacity for innovation is an extraordinarily difficult problem. In their extensive studies of this problem, Wheelwright and Clark5 have shown that most companies are attempting to execute between 2x and 3x the number of innovation projects than they have the capacity to execute. One reason for this is that whereas products in manufacturing operations are relatively standard, and the amount of person and machine time required to work on them is quite predictable, innovation projects are not standard. They involve various commitments from engineering, marketing, finance, and so on. It is important for a marketing manager to know how many new product development projects her staff can handle, in addition to their on-going responsibilities to support products that already are being produced, sold and used. Because most employees and managers are optimistic, hard-working and good-willed, people who already are working at full capacity most often say, "Sure, I can do that too," when asked to take on one more thing. As employees take on more and more projects, the time required for any one project to wend its way through the development process increases -- just as it takes products a long time to work their way through a plant that maintains high levels of work-in-process inventories. 5 Wheelwright, Steven C. and Kim B. Clark, Revolutionizing Product Development. New York: The Free Press, 1992. Using Aggregate Project Planning to Link Strategy, Innovation, and the Resource Allocation Process 301-041 5 Another reason why controlling innovation commitments to fit within capacity constraints is difficult is that managers are never presented with a complete menu of projects from which to choose, at a single point in time. Opportunities, ideas, or requests for projects arise unpredictably and singly, from many sources -- engineers, executives, competitors, sales and service staff, and so on. Many of these demand an immediate response, and cannot be compared in their attractiveness to projects that have not yet been proposed. While new ideas can be compared in their attractiveness with projects that already are underway, much of the cost of ongoing projects is sunk. Hence, the full projected benefit from these projects constitutes an attractive return on the incremental cost entailed in completing the project. Hence, managers are typically forced to decide on the merits of innovation proposals singly -- typically only using a standard financial return hurdle. As a result, companies typically commit to undertake far more development projects than they have the capacity to pursue, and they become far slower at innovation than they otherwise would be. A method for determining innovation capacity is to allocate percentages of the development budget across the breakthrough, platform and derivative project categories. A typical healthy company experiencing reasonable growth might allocate 10% to breakthrough innovations, 30% to platform projects and 60% to derivatives, for example. Companies needing to accelerate growth would want higher percentages allocated to breakthrough and platform initiatives, whereas companies that needed to generate higher levels of short-term profit would skew investments toward the derivative box. From this, managers then can determine the total amount of money available to spend on projects in each category. They should then, based upon their experience, judgmentally assess how much it costs to execute a typical project in the breakthrough, platform and derivative project categories, and figure out how many projects of each type they have the capacity to execute in a given period of time. If, for example, 30% of a $100 million annual R&D budget were allocated to platform projects and such projects historically required a year and $10 million to complete, the organization would have capacity to handle three platform development projects each year. This organization would then have a "budget" of three platform development projects that it could fund each year. The system would not allow managers to approve more projects than this, because cramming more projectsinto the development funnel would only slow the progress of existing projects through the funnel. The system would mandate, conversely, that managers would need to formulate and fund three attractive platform projects each year. If it didn't -- if they diverted funding to derivative projects, or cut funding to send more profit to the bottom line, for example -- then the managers could not implement the strategy that they intended. Through processes such as this, strategy and the APP have to be changed, or capacity altered, in order to bring the plan into balance. By iterating through these steps, management can define a clear strategic direction that can realistically be implemented by executing a set of projects. The “blank bubbles” depicted in the APP in Exhibit 3 aren’t specific projects yet -- they are placeholders, or reserved blocks of capacity (in terms of money and people), that are set aside to execute projects that have a particular character. Exhibit 3 shows that as ideas flow into the company, they then need to compete against each other for one of these slots in the project plan. Because they typically can be executed quickly, entail less technical risk, utilize existing business infrastructure and are sold to current customers, derivative project proposals almost always forecast higher returns on investment than breakthrough and platform projects. In companies where proposals to develop breakthrough and platform projects must compete for resources against derivative projects, therefore, resources tend to be disproportionately allocated toward incremental, derivative investments. With a mechanism such as the APP to set aside pools of resources for each type of project, derivative project ideas will compete for funding against other derivative project ideas, but will never compete for funds with breakthrough or platform product ideas; and so on. This imposes a discipline on decision-making. Aggregate project planning is not a single, silver-bullet solution to the challenges that companies face. However, one of the most significant root causes of the pathologies observed in new 301-041 Using Aggregate Project Planning to Link Strategy, Innovation, and the Resource Allocation Process 6 product development is that resource allocation is in practice not well-linked with the company’s strategy. Often, strategy is so poorly articulated that key strategic decisions need to be made in the context of technical or customer-choice decisions that emerge in development projects -- holding up the projects' progress. Senior managers may be saying one thing, but marketing may be accepting orders or seeking customers based on entirely different criteria. Strategy-making and resource allocation are extraordinarily complex problems in practice, even in small companies. 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