The Pitfalls of Project Status Reporting
Will your next big IT project be on time and deliver what was promised? Maybe — but maybe not. Accepting five inconvenient truths about project status reporting can greatly reduce the chance of being blindsided by unpleasant surprises.
Nobody anticipated the size and scope of the problems we experienced once the site launched.”
The launch problems associated with the HealthCare.gov website — intended to provide a one-stop health insurance shopping portal for uninsured and underinsured Americans beginning October 1, 2013 — are now well-known. As Wall Street Journal reporter Clint Boulton wrote, “For the first couple weeks of October, it appeared that the Affordable Care Act, the centerpiece of the Obama Administration’s domestic policy, was in danger of being undone by an IT project gone wrong. HealthCare.gov, the $630 million project meant to showcase the administration’s tech savviness, was an end user nightmare.”2
What went wrong with the HealthCare.gov launch? It has been reported that the implementation process suffered from a lack of clear direction, repeated changes in requirements (some less than two weeks before the anticipated “go” date) and a severely cramped test schedule, which allowed little time to uncover and address integration issues.3 Even so, some lawmakers have reported that Congress had been told as late as September 2013 that the implementation project was on track. These lawmakers have “accused both the contractors and the [Obama] administration of withholding information about the looming failure.”4 It has been reported that an outside consulting firm “in late March [provided] a clear warning” that “foreshadowed many of the problems that have dogged HealthCare.gov since its rollout” and that some high-ranking White House officials were briefed regarding the report’s contents in April 2013.5
While the problems accompanying the HealthCare.gov site launch were unusually high-profile, they are not uncommon; all too frequently, leaders in the private sector as well as the public sector are caught by surprise when projects — particularly complex IT projects — run into trouble. But complex IT projects do not fail overnight; they fail one day at a time, and generally only after numerous warning signs. Our research suggests that for many executives, accepting five inconvenient truths about project reporting can greatly reduce the chance of being blindsided by a troubled project launch. (See “About the Research.
References
1. J. Eilperin and S. Somashekhar, “Private Consultants Warned of Risks Before HealthCare.Gov’s Oct. 1 Launch,” Washington Post, Nov. 18, 2013.
2. C. Boulton, “HealthCare.Gov’s Sickly Launch Defined Bad IT Projects in 2013,” December 24, 2013, http://blogs.wsj.com.
3. For example, see “Lessons in Project Management from the Obamacare Website,” Oct. 24, 2013, www.cosmoscon.com; and D.R. Hammons, “HealthCare.gov — Obamacare Website Project: A Retrospective,” December 2013, www.pmworldjournal.net.
4. J. Haberkorn and J. Millman, “Contractors Grilled on the Hill,” October 24, 2013, www.politico.com.
5. Eilperin and Somashekhar, “Private Consultants Warned of Risks.”
6. A.P. Snow, M. Keil and L. Wallace, “The Effects of Optimistic and Pessimistic Biasing on Software Project Status Reporting,” Information & Management 44, no. 2 (March 2007): 130-141.
7. B.C.Y. Tan, H.J. Smith, M. Keil and R. Montealegre, “Reporting Bad News About Software Projects: Impact of Organizational Climate and Information Asymmetry in an Individualistic and a Collectivist Culture,” IEEE Transactions on Engineering Management 50, no. 1 (February 2003): 64-77; M. Keil and D. Robey, “Blowing the Whistle on Troubled Software Projects,” Communications of the ACM 44, no. 4 (April 2001): 87-93; and H.J. Smith, M. Keil and G. Depledge, “Keeping Mum as the Project Goes Under: Towards and Explanatory Model,” Journal of Management Information Systems 18, no. 2 (fall 2001): 189-228.
8. C.W. Park, G. Im and M. Keil, “Overcoming the Mum Effect in IT Project Reporting: Impacts of Fault Responsibility and Time Urgency,” Journal of the Association for Information Systems 9, no. 7 (July 2008): 409-431.
9. Tan et al., “Reporting Bad News About Software Projects.”
10. H.J. Smith, R. Thompson and C. Iacovou, “The Impact of Ethical Climate on Project Status Misreporting,” Journal of Business Ethics 90, no. 4 (December 2009): 577-591; see also H.J. Smith, R.L. Thompson and C.L. Iacovou, “An Extended Model of Selective Status Reporting in Information Systems Projects,” unpublished ms, 2013.
11. Snow, Keil and Wallace, “Effects of Optimistic and Pessimistic Biasing.”
12. Smith, Thompson and Iacovou,“Impact of Ethical Climate.”
13. C.W. Park, M. Keil and J.W. Kim, “The Effect of IT Failure Impact and Personal Morality on IT Project Reporting Behavior,” IEEE Transactions on Engineering Management 56, no. 1 (February 2009): 45-60.
14. M. Keil, G.P. Im and M. Mähring, “Reporting Bad News on Software Projects: The Effects of Culturally Constituted Views of Face-Saving,” Information Systems Journal 17, no. 1 (January 2007): 59-87.
15. J.B. Cullen, B. Victor and J.W. Bronson, “The Ethical Climate Questionnaire: An Assessment of Its Development and Validity,” Psychological Reports 73, no. 2 (October 1993): 667-674.
16. M. Keil, H.J. Smith, C.L. Iacovou and R.L. Thompson, “The Dynamics of IT Project Status Reporting Process: A Self-Reinforcing Cycle of Mistrust,” unpublished ms, 2013.
17. M. Keil, A. Tiwana, R. Sainsbury and S. Sneha, “Toward a Theory of Whistleblowing Intentions: A Benefit-to-Cost Differential Perspective,” Decision Sciences 41, no. 4 (November 2010): 787-812.
18. C.L. Iacovou, R.L. Thompson and H.J. Smith, “Selective Status Reporting in Information Systems Projects: A Dyadic-Level Investigation,” MIS Quarterly 33, no. 4 (December 2009): 785-810.
19. Ibid.
20. Keil et al., “Toward a Theory of Whistleblowing Intentions.”
21. Keil and Robey, “Blowing the Whistle.”
22. C.L. Iacovou, “Managing IS Project Failures: A Project Management Perspective” (Ph.D. diss., University of British Columbia, 1999); C.W. Park and M. Keil, “Organizational Silence and Whistle-Blowing on IT Projects: An Integrated Model,” Decision Sciences 40, no. 4 (November 2009): 901-918; Keil and Robey, “Blowing the Whistle”; and M.J. Cuellar, M. Keil and R.D. Johnson, “The Deaf Effect Response to Bad News Reporting in Information Systems Projects,” e-Service Journal 5, no. 1 (September 2006): 75-97.
23. Iacovou, “Managing IS Project Failures.”
24. Cuellar, Keil and Johnson,“Deaf Effect Response.”
25. Keil and Robey, “Blowing the Whistle.”
i. These 14 studies are described in Snow, Keil and Wallace,“The Effects of Optimistic and Pessimistic Biasing”; Smith, Thompson and Iacovou, “Impact of Ethical Climate”; Smith, Thompson and Iacovou, “Extended Model of Selective Status Reporting;” Tan et al., “Reporting Bad News About Software Projects”; Keil et al., “Dynamics of IT Project Status Reporting”; Keil et al., “Toward a Theory of Whistleblowing Intentions”; Iacovou, Thompson and Smith, “Selective Status Reporting”; Iacovou, “Managing IS Project Failures”; Keil and Robey, “Blowing the Whistle”; Smith, Keil and Depledge, “Keeping Mum”; Keil, Im and Mähring, “Reporting Bad News on Software Projects”; Park, Im and Keil, “Overcoming the Mum Effect”; Park, Keil and Kim, “Effect of IT Failure Impact”; Park and Keil, “Organizational Silence and Whistle-Blowing”; and Cuellar, Keil and Johnson, “Deaf Effect Response.”
ii. Keil et al., “Dynamics of IT Project Status Reporting.”
iii. Ibid. This is not an exhaustive list.
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