CHAOS Report on IT Project Outcomes: Difference between revisions

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Created page with "=== Historical (1994) === In the original Standish Group survey, only 16.2% of software projects were delivered on-time and on-budget ([https://www.utdallas.edu/~mrankin/StandishGroup1994.pdf Standish Group 1994]). Meanwhile 31.1% were canceled before completion ([https://www.utdallas.edu/~mrankin/StandishGroup1994.pdf Standish Group 1994]). Budget overruns were massive: over half (52.7%) of projects ran 189% over the original cost estimate ([https://www.utdallas.edu/~mr..."
 
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=== Historical (1994) ===
=== Historical (1994) ===__NOTOC__
In the original Standish Group survey, only 16.2% of software projects were delivered on-time and on-budget ([https://www.utdallas.edu/~mrankin/StandishGroup1994.pdf Standish Group 1994]).
In the original Standish Group survey, only 16.2% of software projects were delivered on-time and on-budget [1].
Meanwhile 31.1% were canceled before completion ([https://www.utdallas.edu/~mrankin/StandishGroup1994.pdf Standish Group 1994]).
Meanwhile 31.1% were canceled before completion [1].
Budget overruns were massive: over half (52.7%) of projects ran 189% over the original cost estimate ([https://www.utdallas.edu/~mrankin/StandishGroup1994.pdf Standish Group 1994]).
Budget overruns were massive: over half (52.7%) of projects ran 189% over the original cost estimate [1].
Large organizations fared worst – only 9% of their projects succeeded, with 61.5% challenged and 29.5% canceled ([https://www.utdallas.edu/~mrankin/StandishGroup1994.pdf Standish Group 1994]).
Large organizations fared worst – only 9% of their projects succeeded, with 61.5% challenged and 29.5% canceled [1].
Even completed projects delivered far less than planned: projects in large firms averaged only 42% of their original features ([https://www.utdallas.edu/~mrankin/StandishGroup1994.pdf Standish Group 1994]).
Even completed projects delivered far less than planned: projects in large firms averaged only 42% of their original features [1].
Overall, across 3,682 projects in that sample, only 12% were on-time and on-budget ([https://www.utdallas.edu/~mrankin/StandishGroup1994.pdf Standish Group 1994]).
Overall, across 3,682 projects in that sample, only 12% were on-time and on-budget [1] Standish Group 1994]).


=== “CHAOS Manifesto” (2012) ===
=== “CHAOS Manifesto” (2012) ===
By 2012, Standish data showed improved results: 37% of projects succeeded (on time, on budget, with full scope), 42% were challenged, and 21% failed ([https://www.infoq.com/articles/standish-chaos-2012/ InfoQ summary of CHAOS Manifesto 2012]).
By 2012, Standish data showed improved results: 37% of projects succeeded (on time, on budget, with full scope), 42% were challenged, and 21% failed [2].


=== Recent (2020) ===
=== Recent (2020) ===
The latest CHAOS data shows renewed difficulties: only 31% of projects were “successful” ([https://www.standishgroup.com/sample_research_files/CHAOSReport2020.pdf Standish CHAOS 2020 Summary]).
The latest CHAOS data shows renewed difficulties: only 31% of projects were “successful” [3].
Fully 50% were challenged and 19% failed ([https://www.standishgroup.com/sample_research_files/CHAOSReport2020.pdf Standish CHAOS 2020 Summary]).
Fully 50% were challenged and 19% failed [3].
Small projects performed far better (~90% success), while large projects had <10% success ([https://www.standishgroup.com/sample_research_files/CHAOSReport2020.pdf Standish CHAOS 2020 Summary]).
Small projects performed far better (~90% success), while large projects had <10% success [3].


== Global Outcomes ==
== Global Outcomes ==
Across all regions, approximately 30–34% of projects meet all goals ([https://www.standishgroup.com/sample_research_files/CHAOSReport2020.pdf Standish CHAOS 2020 Summary]).
Across all regions, approximately 30–34% of projects meet all goals [3].
Cancellations dropped from ~31% in 1994 to ~19–21% in 2020.
Cancellations dropped from ~31% in 1994 to ~19–21% in 2020.
In 1994, successful projects in large firms delivered only ~42% of planned features ([https://www.utdallas.edu/~mrankin/StandishGroup1994.pdf Standish Group 1994]); by 2012, full-scope delivery was expected as part of success ([https://www.infoq.com/articles/standish-chaos-2012/ InfoQ 2012 Summary]).
In 1994, successful projects in large firms delivered only ~42% of planned features [1]; by 2012, full-scope delivery was expected as part of success [2].


== U.S.-Specific Figures ==
== U.S.-Specific Figures ==
Standish surveys include many U.S. firms. In 2020, 31% of U.S. projects were canceled, and 53% were challenged – implying only ~16% succeeded ([https://www.standishgroup.com/sample_research_files/CHAOSReport2020.pdf Standish CHAOS 2020 Summary]).
Standish surveys include many U.S. firms. In 2020, 31% of U.S. projects were canceled, and 53% were challenged – implying only ~16% succeeded [3].
Government IT projects fare worse:
Government IT projects fare worse:


Only 13% of major U.S. state and local IT projects succeed ([https://18f.gsa.gov/2015/11/13/why-government-digital-services-fail/ 18F: Why Government Digital Services Fail]).
Only 13% of major U.S. state and local IT projects succeed [4].


Only 13% of large federal IT procurements (>$6M) succeed ([https://www.belfercenter.org/publication/it-failures-government-why-they-occur-and-how-fix-them Belfer Center: IT Failures in Government]).
Only 13% of large federal IT procurements (>$6M) succeed [5].


== Europe and Other Regions ==
== Europe and Other Regions ==
Standish doesn’t regularly publish EU- or Asia-specific breakouts. However, regional reviews suggest similar trends:
Standish doesn’t regularly publish EU- or Asia-specific breakouts. However, regional reviews suggest similar trends:


A European analysis found 30% of projects succeed and 20% fail outright ([https://www.researchgate.net/publication/338245725_Project_Failure_Rate_in_IT_Sector_and_Its_Impact Project Failure Rate in IT Sector – ResearchGate]).
A European analysis found 30% of projects succeed and 20% fail outright [6].


== Summary Table ==
== Summary Table ==
Line 52: Line 52:


== Sources ==
== Sources ==
<!--
{{Paper
|title=Standish Group CHAOS Report 1994
|type=report
|author=Byrne, A
|journal=The Australian Library Journal
|volume=57.4
|published=2008-01-01
|pages=365-376
|file=Web 2 0 strategy in libraries and information services.pdf
}}
{{Paper
|author=Magne Jørgensen, Kjetil Moløkken-Østvold
|title=How large are software cost overruns? A review of the 1994 CHAOS report
|journal=Information and Software Technology
|volume=48
|issue 4
|published=2006
|pages=Pages 297-301
|idtype=issn
|id= 0950-5849
|url=  https://doi.org/10.1016/j.infsof.2005.07.002
|abstract=The Standish Group reported in their 1994 CHAOS report that the average cost overrun of software projects was as high as 189%. This figure for cost overrun is referred to frequently by scientific researchers, software process improvement consultants, and government advisors. In this paper, we review the validity of the Standish Group's 1994 cost overrun results. Our review is based on a comparison of the 189% cost overrun figure with the cost overrun figures reported in other cost estimation surveys, and an examination of the Standish Group's survey design and analysis methods. We find that the figure reported by the Standish Group is much higher than those reported in similar estimation surveys and that there may be severe problems with the survey design and methods of analysis, e.g. the population sampling method may be strongly biased towards ‘failure projects’. We conclude that the figure of 189% for cost overruns is probably much too high to represent typical software projects in the 1990s and that a continued use of that figure as a reference point for estimation accuracy may lead to poor decision making and hinder progress in estimation practices.
}}
<ref>{{Cite | How large are software cost overruns? A review of the 1994 CHAOS report}}</ref>
<ref>{{Cite | Standish Group CHAOS Report 1994}}</ref> -->
#[[Media:chaos report 1994.pdf|Standish Group CHAOS Report 1994]]
#[[Media:CHAOSManifesto2012.pdf|InfoQ: CHAOS Manifesto 2012 Summary]]
#[[Media:project-success-qrc-standish-group-chaos-report-2020.pdf|CHAOS Report 2020 (Standish Group)]]
#[[Media:state-software-budgeting-handbook.pdf|18F: Why Government Digital Services Fail]]
#[[Media:Belfer Center- IT Failures in Government.pdf|Belfer Center: IT Failures in Government]]
#[[Media:WhydoPublicSectorITProjsFailforINFOS2Mar10.pdf|ResearchGate: Project Failure Rate in IT Sector]]


*[https://www.utdallas.edu/~mrankin/StandishGroup1994.pdf Standish Group CHAOS Report 1994]
<references />
*[https://www.infoq.com/articles/standish-chaos-2012/ InfoQ: CHAOS Manifesto 2012 Summary]
*[https://www.standishgroup.com/sample_research_files/CHAOSReport2020.pdf CHAOS Report 2020 (Standish Group)]
*[https://18f.gsa.gov/2015/11/13/why-government-digital-services-fail/ 18F: Why Government Digital Services Fail]
*[https://www.belfercenter.org/publication/it-failures-government-why-they-occur-and-how-fix-them Belfer Center: IT Failures in Government]
*[https://www.researchgate.net/publication/338245725_Project_Failure_Rate_in_IT_Sector_and_Its_Impact ResearchGate: Project Failure Rate in IT Sector]

Latest revision as of 20:09, May 14, 2025

Historical (1994)

In the original Standish Group survey, only 16.2% of software projects were delivered on-time and on-budget [1]. Meanwhile 31.1% were canceled before completion [1]. Budget overruns were massive: over half (52.7%) of projects ran 189% over the original cost estimate [1]. Large organizations fared worst – only 9% of their projects succeeded, with 61.5% challenged and 29.5% canceled [1]. Even completed projects delivered far less than planned: projects in large firms averaged only 42% of their original features [1]. Overall, across 3,682 projects in that sample, only 12% were on-time and on-budget [1] Standish Group 1994]).

“CHAOS Manifesto” (2012)

By 2012, Standish data showed improved results: 37% of projects succeeded (on time, on budget, with full scope), 42% were challenged, and 21% failed [2].

Recent (2020)

The latest CHAOS data shows renewed difficulties: only 31% of projects were “successful” [3]. Fully 50% were challenged and 19% failed [3]. Small projects performed far better (~90% success), while large projects had <10% success [3].

Global Outcomes

Across all regions, approximately 30–34% of projects meet all goals [3]. Cancellations dropped from ~31% in 1994 to ~19–21% in 2020. In 1994, successful projects in large firms delivered only ~42% of planned features [1]; by 2012, full-scope delivery was expected as part of success [2].

U.S.-Specific Figures

Standish surveys include many U.S. firms. In 2020, 31% of U.S. projects were canceled, and 53% were challenged – implying only ~16% succeeded [3]. Government IT projects fare worse:

Only 13% of major U.S. state and local IT projects succeed [4].

Only 13% of large federal IT procurements (>$6M) succeed [5].

Europe and Other Regions

Standish doesn’t regularly publish EU- or Asia-specific breakouts. However, regional reviews suggest similar trends:

A European analysis found 30% of projects succeed and 20% fail outright [6].

Summary Table

Region / Year On Time/On Budget (Success) Within Budget Meeting Scope Canceled (Failure)
Global (1994) 16.2% 16.2% ~42% of features 31.1%
Global (2012) 37% 37% 37% 21%
Global (2020) 31% 31% 31% 19%
U.S. Projects (2020) ~16% ~16% ~16% 31%
U.S. Gov't IT (2019) 13% 13% 13% 87%

Note: 1994 scope data approximates features delivered. 2020 U.S. figures inferred from reported challenge/failure rates.

Sources

  1. Standish Group CHAOS Report 1994
  2. InfoQ: CHAOS Manifesto 2012 Summary
  3. CHAOS Report 2020 (Standish Group)
  4. 18F: Why Government Digital Services Fail
  5. Belfer Center: IT Failures in Government
  6. ResearchGate: Project Failure Rate in IT Sector