Downloadable Resources • Large capital investments that are completed on schedule and within their budgets are probably the exception rather than the rule—and even when completed many fail to meet expected revenues. Executives often blame project underperformance on foreseeable complexities and uncertainties having to do with the scope of and demand for the project, the technology or project location, or even stakeholder opposition. No doubt, all of these factors at one time or another contribute to cost overruns, benefit shortfalls, and delays.

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But knowing that such factors are likely to crop up, why do project planners, on average, fail to forecast their effect on the costs of complex projects? We’ve covered this territory before 1. Dan Lovallo and Olivier Sibony, “,” McKinsey Quarterly, February 2006.

But continue to see companies making strategic decisions based on inaccurate data. Deliberately or not, costs are systematically underestimated and benefits are overestimated during project preparation—because of delusions or honest mistakes on one hand and deceptions or strategic manipulation of information or processes on the other. Daniel Kahneman and Dan Lovallo, “Delusions of success: How optimism undermines executives’ decisions,” Harvard Business Review, July 2003, Volume 81, Number 7, pp. 56–63, hbr.org. As we’ll explore, the former is often the result of underlying psychological biases and the latter of misplaced incentives and poor governance.

Fortunately, corrective procedures to increase transparency and improve incentive systems can help ensure better forecasts. Psychological biases can create cognitive delusion Most of the underestimation of costs and overestimation of benefits of capital projects is the result of people taking what’s called an “inside view” of their forecasts. That is, they use typical bottom-up decision-making techniques, bringing to bear all they know about a problem, with special attention to its unique details—focusing tightly on a case at hand, considering a project plan and the obstacles to its completion, constructing scenarios of future progress, and extrapolating current trends. Daniel Kahneman and Amos Tversky, “Intuitive predictions: Biases and corrective procedures,” in Forecasting: TIMS Studies in Management Science, ed. Spyros Makridakis and Steven C. Wheelwright, pp.

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313–27, Catonsville, MD: Institute of Management Sciences, 1982; Daniel Kahneman and Dan Lovallo, “ Timid choices and bold forecasts: A cognitive perspective on risk taking,” Management Science, 1993, Volume 39, Number 1, pp. 17–31; Kahneman and Lovallo, “Delusions of success.” An inside view can lead to two cognitive delusions.

The planning fallacy. Psychologists have defined the planning fallacy as the tendency of people to underestimate task-completion times and costs even when they know that the vast majority of similar tasks have run late or gone over budget. In its grip, managers make decisions based on delusional optimism rather than on a rational weighting of gains, losses, and probabilities—involuntarily spinning scenarios of success and overlooking the potential for mistakes and miscalculations. Executives and entrepreneurs seem to be highly susceptible to this bias. Indeed, studies that compare the actual outcomes of capital-investment projects, mergers and acquisitions, and market entries with managers’ original expectations for those ventures show a strong tendency toward overoptimism. Ulrike Malmendier and Geoffrey Tate, “Who makes acquisitions?

CEO overconfidence and the market’s reaction,” Journal of Financial Economics, 2008, Volume 89, Number 1, pp. And an analysis of start-up ventures in a wide range of industries found that more than 80 percent failed to achieve their marketshare target. Timothy Dunne, Mark J. Roberts, and Larry Samuelson, “ Patterns of firm entry and exit in US manufacturing industries,” RAND Journal of Economics, 1988, Volume 19, Number 4, pp. 495–515; Kahneman and Lovallo, “Delusions of success.” Anchoring and adjustment.

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This heuristic rule of thumb is another consequence of inside-view thinking that leads to overoptimistic forecasts. Anchoring, one of the most robust biases of judgment, occurs because the answer to a question is subconsciously affected by the first cost or budget numbers considered. In the context of planning for a large capital project, for example, there is always an initial plan that unavoidably becomes an anchor for later-stage estimates, which never sufficiently adjust to the reality of the project’s performance. In fact, the typical initial estimate for the most complex and large capital investments is less than half the final cost—as managers further underestimate the cost of completing construction at every subsequent stage of the process—even though project champions almost always see their initial plan as the best or most likely case. Merrow, Christopher W. Meyers, and Kenneth E.