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Assumption-based planning in project management is a post-planning method that helps companies to deal with uncertainty. It is used to identify the most important assumptions in a company's business plans, to test these assumptions, and to accommodate unexpected outcomes.
Conventional business planning works on the expectation that managers can extrapolate future results from past experience, but for new businesses and projects this way of planning is often not possible. Experience may be lacking or extrapolating from past experience may be misleading. [1]
Assumption-based planning methods include:
Assumption-based planning methodologies provided the foundation for other planning frameworks and tools such as Robust decision-making.
Most business planning methods or books about "how to write a business plan" indicate that you should write down your financial assumptions at the end of your plan, but assumption-based planning encourages managers to actively plan and monitor the validation of these assumptions.
The identification of assumptions may lead to a change in the business plan, so advocates of assumption-based planning argue that it should be at the core of business planning.
RAND defines an assumption as "an assertion about some characteristic of the future that underlies the current operations or plans of an organization." There are several types of assumption. Include implicit and explicit assumptions, and primary and secondary assumptions, an important aspect of critical assumption planning. The two classifications are not mutually exclusive; an assumption can be both explicit and primary.
Explicit assumptions are fully revealed without vagueness, implication, or ambiguity—though in a plan, they often rely on implicit assumptions. Implicit assumptions are not expressed and may go undetected. If implicit assumptions are wrong, this can damage projects.
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The steps of assumption-based planning (ABP) are:
Critical assumption planning (CAP) is a service mark of D. Dunham & Co. It helps managers and entrepreneurs maximize business development learning at least cost. The continuous process consists of six steps: Knowledge Base Assessment, Critical Assumption Planning, Test Program Design, Funding Request, Test Implementation and Venture Reassessment. [7] [8]
CAP is built on the foundation of the work of Block (1989) who showed that assumptions can stand in the way of perceiving current business realities. The identification and assessment of assumptions solves this problem and forms the foundation for managing new business ventures.
CAP involves six steps, combined in a "Learning Loop". Once all six steps are completed, a milestone is reached and the loop starts over again. The loop is constantly repeated as the business is developing.
This step takes "a comprehensive analysis of what is known and unknown about the competition, market and technology" (Sykes 1995). In this step the entrepreneur oversees his plans and the first assumptions are exposed. Important parts of the business plan to check are the definition of the business concept and an assessment of the competition.
During this step the assumptions are identified and there is a determination of criticality. The hardest part of CAP is to identify the assumptions that are not written down.
To determine the criticality of the assumptions, they must be quantified. This makes it possible to put the financial results in a spreadsheet and link them. These financial impacts change for various assumptions.
CAP measures the criticality of an assumption as a change in the net present value of a venture (NPV). To determine criticality each assumption is assigned a range of uncertainty: base case, best and worst case. Then, assumption for assumption, while keeping the other assumptions at base case, the NPV changes for each assumption in the worst- and best-case scenarios are checked.
The NPV analysis proves the company with information about the criticality of an assumption. Two signals strongly indicate a critical assumption: a big difference in NPV between the best and worst-case scenarios, or a huge loss of NPV in the worst-case scenario
The assumptions must be tested. Sometimes good market research is enough, other times a working prototype must be developed. The testing order for assumptions is critical in terms of testing cost. A major focus of the CAP method is to maximize the learning per unit expenditure on testing.
To determine the best testing option, the test Effectiveness ratio (e) is calculated for one or more assumptions based on the estimated Costs (C), Time spend on testing (T) and the estimated reduction (R) between the NPV values of the assumptions (P as a percentage of the NPV range). Using these parameters, the effectiveness ratio (e) is calculated:
Once the best testing option is chosen from the different test effectiveness values, the organisation can finish the planning of the test.
When the test program design is ready and the costs are clear, resources must be allocated to the test program. In most companies or start-ups clearance from senior managers or venture capitalists is needed to conduct the tests.
In this step the actual testing of the assumptions takes place.
When the results of one or more tests are known, it might be that resources must be re-allocated and business plans updated.
The discounted cash flow (DCF) analysis, in finance, is a method used to value a security, project, company, or asset, that incorporates the time value of money. Discounted cash flow analysis is widely used in investment finance, real estate development, corporate financial management, and patent valuation. Used in industry as early as the 1700s or 1800s, it was widely discussed in financial economics in the 1960s, and U.S. courts began employing the concept in the 1980s and 1990s.
The net present value (NPV) or net present worth (NPW) applies to a series of cash flows occurring at different times. The present value of a cash flow depends on the interval of time between now and the cash flow. It also depends on the annual effective discount rate. NPV accounts for the time value of money. It provides a method for evaluating and comparing capital projects or financial products with cash flows spread over time, as in loans, investments, payouts from insurance contracts plus many other applications.
Internal rate of return (IRR) is a method of quantifying the merits of a project or investment opportunity. The calculation is termed internal because it depends only on the cash flows of the investment being analyzed and excludes external factors, such as returns available elsewhere, the risk-free rate, inflation, the cost of capital, or financial risk.
Real options valuation, also often termed real options analysis, applies option valuation techniques to capital budgeting decisions. A real option itself, is the right—but not the obligation—to undertake certain business initiatives, such as deferring, abandoning, expanding, staging, or contracting a capital investment project. For example, real options valuation could examine the opportunity to invest in the expansion of a firm's factory and the alternative option to sell the factory.
A feasibility study is an assessment of the practicality of a project or system. A feasibility study aims to objectively and rationally uncover the strengths and weaknesses of an existing business or proposed venture, opportunities and threats present in the natural environment, the resources required to carry through, and ultimately the prospects for success. In its simplest terms, the two criteria to judge feasibility are cost required and value to be attained.
The implicit-association test (IAT) is an assessment intended to detect subconscious associations between mental representations of objects (concepts) in memory. Its best-known application is the assessment of implicit stereotypes held by test subjects, such as associations between particular racial categories and stereotypes about those groups. The test has been applied to a variety of belief associations, such as those involving racial groups, gender, sexuality, age, and religion but also the self-esteem, political views, and predictions of the test taker. The implicit-association test is the subject of significant academic and popular debate regarding its validity, reliability, and usefulness in assessing implicit bias.
Testability is a primary aspect of science and the scientific method. There are two components to testability:
Capital budgeting in corporate finance, corporate planning and accounting is an area of capital management that concerns the planning process used to determine whether an organization's long term capital investments such as new machinery, replacement of machinery, new plants, new products, and research development projects are worth the funding of cash through the firm's capitalization structures. It is the process of allocating resources for major capital, or investment, expenditures. An underlying goal, consistent with the overall approach in corporate finance, is to increase the value of the firm to the shareholders.
Social return on investment (SROI) is a principles-based method for measuring extra-financial value. It can be used by any entity to evaluate impact on stakeholders, identify ways to improve performance, and enhance the performance of investments.
Critical Chain is a novel by Dr. Eliyahu Goldratt using the critical chain theory of project management as the major theme. It is really a teaching method for the theory.
Valuation using discounted cash flows is a method of estimating the current value of a company based on projected future cash flows adjusted for the time value of money. The cash flows are made up of those within the “explicit” forecast period, together with a continuing or terminal value that represents the cash flow stream after the forecast period. In several contexts, DCF valuation is referred to as the "income approach".
Socratic questioning is an educational method named after Socrates that focuses on discovering answers by asking questions of students. According to Plato, Socrates believed that "the disciplined practice of thoughtful questioning enables the scholar/student to examine ideas and be able to determine the validity of those ideas". Plato explains how, in this method of teaching, the teacher assumes an ignorant mindset in order to compel the student to assume the highest level of knowledge. Thus, a student is expected to develop the ability to acknowledge contradictions, recreate inaccurate or unfinished ideas, and critically determine necessary thought.
The First Chicago method or venture capital method is a business valuation approach used by venture capital and private equity investors that combines elements of both a multiples-based valuation and a discounted cash flow (DCF) valuation approach.
Discovery-driven planning is a planning technique first introduced in a Harvard Business Review article by Rita Gunther McGrath and Ian C. MacMillan in 1995 and subsequently referenced in a number of books and articles. Its main thesis is that when one is operating in arenas with significant amounts of uncertainty, that a different approach applies than is normally used in conventional planning. In conventional planning, the correctness of a plan is generally judged by how close outcomes come to projections. In discovery-driven planning, it is assumed that plan parameters may change as new information is revealed. With conventional planning, it is considered appropriate to fund the entire project, as the expectation is that one can predict a positive outcome. In discovery-driven planning, funds are released based on the accomplishment of key milestones or checkpoints, at which point additional funding can be made available predicated on reasonable expectations for future success. Conventional project management tools, such as stage-gate models or the use of financial tools to assess innovation, have been found to be flawed in that they are not well suited for the uncertainty of innovation-oriented projects
Rita Gunther McGrath is an American strategic management scholar and professor of management at the Columbia Business School. She is known for her work on strategy, innovation, and entrepreneurship, including the development of discovery-driven planning.
A minimum viable product (MVP) is a version of a product with just enough features to be usable by early customers who can then provide feedback for future product development.
Implicit learning is the learning of complex information in an unintentional manner, without awareness of what has been learned. According to Frensch and Rünger (2003) the general definition of implicit learning is still subject to some controversy, although the topic has had some significant developments since the 1960s. Implicit learning may require a certain minimal amount of attention and may depend on attentional and working memory mechanisms. The result of implicit learning is implicit knowledge in the form of abstract representations rather than verbatim or aggregate representations, and scholars have drawn similarities between implicit learning and implicit memory.
Roebuck (2004), defines entrepreneurial leadership as "organizing a group of people to achieve a common goal using proactive entrepreneurial behavior by optimising risk, innovating to take advantage of opportunities, taking personal responsibility and managing change within a dynamic environment for the benefit of [an] organisation".
Corporate finance is the area of finance that deals with the sources of funding, and the capital structure of corporations, the actions that managers take to increase the value of the firm to the shareholders, and the tools and analysis used to allocate financial resources. The primary goal of corporate finance is to maximize or increase shareholder value.
Operations management for services has the functional responsibility for producing the services of an organization and providing them directly to its customers. It specifically deals with decisions required by operations managers for simultaneous production and consumption of an intangible product. These decisions concern the process, people, information and the system that produces and delivers the service. It differs from operations management in general, since the processes of service organizations differ from those of manufacturing organizations.