Harvard Business Review. In this interview, he tells how IT managers can get a clearer picture of actual project risk.">

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July 21, 2003 (Computerworld) -- IT projects fail because managers kid themselves from the start about their chances of success. That's the message Dan Lovallo and Daniel Kahneman deliver in the July issue of Harvard Business Review. When forecasting the outcome of a risky project, they say, decision-makers become swept up by a "delusional optimism." Rather than rationally weighing pluses and minuses, they "spin scenarios of success" while overlooking risks, according to Lovallo and Kahneman.
Lovallo, a senior lecturer at the Australian Graduate School of Management at the University of New South Wales, told Kathleen Melymuka how IT leaders can curb their enthusiasm and inject realism into project forecasting.
What makes IT leaders overly optimistic about a project's chance of success? People's natural inclination is to be optimistic. One of the most ubiquitous findings in social psychology is the above-average effect. When people are asked how they compare to peers in all kinds of areas, almost nobody thinks they're below the mean, which, of course, is logically not possible.

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Dan Lovallo of the Australian Graduate School of Management ![]()
In today's economic environment, does the organizational pressure for ROI magnify the tendency to be overly optimistic? Optimism is pretty consistent, but the greater the organizational pressure, the more likely you are to get skewed forecasts. When an organization puts a lot of pressure on people to come up with some sort of very optimistic ROI number, they'll get the number because they're engineering optimism.
You say managers are also prone to the "illusion that they are in control." Can you explain? Managers don't see themselves as gambling or taking risks. They're very proactive in trying to remove all risk in the environment. Frequently they won't even acknowledge that a large degree of risk is still left. When a manager has a plan, he almost always overestimates his degree of control.
Many IT project managers use scenario planning to mitigate risk. Isn't that effective? It could be, and it's good that they do it. The problem is that it's hard to think of all the things that might go wrong. It's easy to think about how you could complete the plan, and that may even be the most likely scenario, but it still doesn't mean it's very likely. So many things can go wrong. Better to look at what's happened in the past with other IT projects as a guide to what's going to happen in the future.
And that's what you call the "outside view"? When you take an outside view, you look at a reference class of similar projects, both in your organization and outside. Then you look at how much they spent relative to their initial estimates, how much time it took relative to what they initially thought. Then you ask, "How does our project differ from these?" You determine your place in that class. Out of that come forecasts that are likely to be more realistic.
How difficult is it to get this outside data? If you're an IT manager, it shouldn't be hard to get this information from inside your firm, and it also tells people what type of data they should be recording for the future. For outside data, consultants like [McKinsey & Co.] are good at helping firms get this. This is a place where there's room for firms to cooperate and there's a role for industry groups in trying to help them figure out how not to waste money.
If I temper my overoptimism about my proposed project, won't I lose funding to a more optimistic competing project? It's difficult. The change has to come from the top of the organization. There has to be a policy and a process that asks people to back things up based on facts.
If I do get funded, wouldn't the more negative outside view destroy my project team's ability to stay "up" and enthusiastic? Here's where it's important to draw a distinction between decision and action. You want the outside view when you're making the decision; when you're taking action, let the optimism seep in.
What if my team and our processes really are better than those in the outside projects cited? You would have reasons to say why they are better, and those reasons should be based on objective predictors of success: the experience of the team, how well the organization has done in the past, how much money is behind it. If, based on this, you figure you're in the 95th percentile of the distribution, then you've got a reason to say that.
What if I'm planning a unique project or working with new technology that really has no track record? This has never happened. It's the first time for you, but it's not the first time somebody tried to install a new IT system with a new technology. So your reference class includes projects with new technologies never used before.
What if my inside view is great and the outside view predicts failure? Do I trust the experience of outsiders more than the projections of my colleagues? The outside view is an objective statistical view. If that suggests that you're going to fail, but the inside-view forecasts suggest you'll succeed, it's time to take a step back and re-evaluate the project and possibly call it quits. The outside view is much, much more likely to be accurate than the inside view.
Melymuka is a Computerworld contributing writer. You can contact her at kmelymuka@yahoo.com.
This is the latest in a series of monthly discussions with Harvard Business Review authors on topics of interest to IT managers.
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