Study Data · Part 1 · Indicator Deep-Dive Analysis

What is the annual contract value of this engagement, in USD?

Indicator C046 · By Phil Hatch · Akholi · October 9, 2026

Indicator Specification

Table 1. Indicator specificationTable
FieldValue
Indicator codeC046
Question as askedWhat is the annual contract value of this engagement, in USD?
Failure categoryNot one of the 100 rated indicators
Place in the surveyEngagement Details > 2.4 Commercial Structure > Contract
Indicator classPerceived fact
Indicator typeCategorical
Response scaleLevels: Under $1 million, $1 million to under $5 million, $5 million to under $10 million, $10 million to under $25 million
Answering base248 of 850 respondents gave one of the listed answers. 601 answered, counting I do not know and I prefer to not answer, across 150 of 150 engagements
Non-answersI do not know 353, I prefer to not answer 0, blank 249

Summary of Findings

Table 2. Key results: association of the indicator with the four study measuresTable
MeasureEffect sizenValuep
Cancellation rateOmega squared, 0 or 1 flag31 engagements−0.0060.433
Customer satisfactionOmega squared23 engagements−0.0230.519
Engagement indicator meanOmega squared31 engagements−0.0320.863
Intent to leaveOmega squared31 engagements−0.0250.621

Respondents most often placed annual contract value in the second value band (106 of 248 respondents, 42.74%) or the third (102 of 248 respondents, 41.13%), and the lowest band was the least common answer (13 of 248 respondents, 5.24%). Cancellation was lower in the third band (18.75% canceled, n = 16 engagements) than in the second band (33.33% canceled, n = 15 engagements), with no difference in a test of those two bands (chi-square 0.86, p 0.433, Cramer’s V 0.17, n = 31 engagements). Customer satisfaction on active engagements was higher in the second band (mean 66.4, n = 10 engagements) than in the third band (mean 62.8, n = 13 engagements), with no difference under test (Welch F 0.44, p 0.519, omega squared −0.023, n = 23 engagements). The engagement indicator mean was close in the third band (mean 4.4, n = 16 engagements) and the second band (mean 4.3, n = 15 engagements), with no difference under test (Welch F 0.03, p 0.863, omega squared −0.032, n = 31 engagements). Intent to leave was lowest in the third band (mean 6.0, n = 16 engagements), with no difference under test (Welch F 0.25, p 0.621, omega squared −0.025, n = 31 engagements). No segment family differed in the answer mix after Holm control (Holm p 0.218 or higher in every family).

Distribution of Responses

Table 3. Distribution of responses, respondent levelTable
AnswerRespondentsShare of answered (base 248)Cumulative shareEngagements with at least oneShare of 150 engagementsDistressed
Under $1 million135.24%5.24%74.67%Not applicable
$1 million to under $5 million10642.74%47.98%5838.67%Not applicable
$5 million to under $10 million10241.13%89.11%5436.00%Not applicable
$10 million to under $25 million2710.89%100.00%117.33%Not applicable
I do not know353Not in baseNot in base14496.00%Not applicable
Answered, total248100.00%13086.67%

A categorical answer has no engagement mean. Each engagement took its respondents’ plurality answer, and tied engagements were left out. An answer was assigned to 114 of 150 engagements.

Distressed is not applicable, because the answer has no good or bad end on a scale.

Descriptive Statistics by Segment

Table 4. Descriptive statistics by segmentTable
SegmentBaseAnsweredAnswer rateEngagementsUnder $1 million, share$1 million to under $5 million, share$5 million to under $10 million, share$10 million to under $25 million, share
Study set85024829.18% of 8501505.24%42.74%41.13%10.89%
Outsourcing model
CXM2326628.45% of 232429.09%36.36%46.97%7.58%
ITO2447028.69% of 244402.86%35.71%42.86%18.57%
BPO2096531.10% of 209374.62%44.62%40.00%10.77%
KPO1654728.48% of 165314.26%59.57%31.91%4.26%
Institution type
Asset management1323526.52% of 132245.71%45.71%45.71%2.86%
Wealth management and private banking1404230.00% of 140230.00%30.95%52.38%16.67%
Investment banking (advisory and capital-markets origination)1053129.52% of 105193.23%61.29%25.81%9.68%
Insurance (life, property and casualty, health)782228.21% of 78140.00%40.91%54.55%4.55%
Commercial and business banking822935.37% of 82130.00%51.72%37.93%10.34%
Payments and merchant acquiring (networks, acquiring, processing)712129.58% of 711319.05%33.33%19.05%28.57%
Credit card and payments issuing732635.62% of 73120.00%15.38%61.54%23.08%
Retail and consumer banking731520.55% of 73120.00%46.67%53.33%0.00%
Markets and trading (sales and trading, global markets)571526.32% of 57110.00%86.67%13.33%0.00%
Private equity and private capital391230.77% of 39950.00%25.00%25.00%0.00%
Process family
Corporate and back-office functions2487329.44% of 2484710.96%54.79%30.14%4.11%
Technology engineering and operations2045727.94% of 204353.51%36.84%45.61%14.04%
Client servicing and communications942223.40% of 94160.00%40.91%54.55%4.55%
Trade, settlement and reconciliation802531.25% of 80154.00%72.00%24.00%0.00%
Payments, cards and disputes732534.25% of 73120.00%24.00%60.00%16.00%
Credit, underwriting and suitability571322.81% of 5790.00%46.15%53.85%0.00%
Regulatory, audit, tax and legal512039.22% of 51910.00%20.00%35.00%35.00%
Financial crime and client onboarding431330.23% of 4370.00%15.38%53.85%30.77%
Class of work
LOB Operational45113129.05% of 451764.58%39.69%43.51%12.21%
Corporate Functional39911729.32% of 399745.98%46.15%38.46%9.40%
Engagement status and lifecycle stage
Active, Build-Out1755632.00% of 175311.79%55.36%39.29%3.57%
Active, Transition/Cut-Over2508433.60% of 2504313.10%26.19%46.43%14.29%
Active, Production1031817.48% of 103200.00%55.56%44.44%0.00%
Canceled3229027.95% of 322561.11%47.78%36.67%14.44%
Respondent role
Individual Contributor66715222.79% of 6671472.63%46.05%38.82%12.50%
Engagement Manager1506442.67% of 1501509.38%43.75%42.19%4.69%
Portfolio Director313096.77% of 313010.00%23.33%50.00%16.67%
Customer Management Executive222 of 220110
Vendor type
IT services major3168627.22% of 316594.65%33.72%46.51%15.12%
BPO specialist1986432.32% of 1983710.94%39.06%42.19%7.81%
Consulting firm1173529.91% of 117230.00%54.29%40.00%5.71%
Boutique or specialist provider872629.89% of 87177.69%50.00%42.31%0.00%
Pure-play agentic AI firm752229.33% of 75140.00%63.64%22.73%13.64%
Not reported, recovered by engagement571526.32% of 57320.00%40.00%33.33%26.67%

Shares are of the answered respondents in each row, which is the base beside them. A row under 10 prints counts in place of shares.

Tests of Difference Between Segments

Table 5. Tests of difference between segmentsTable
Segment familyUnitChi-squaredfpHolm pCramer’s VTest for pLevels left out
Outsourcing modelEngagement4.9260.5931.0000.27Monte Carlo, simulateda
Institution typeEngagementbc
Process familyEngagementbd
Class of workEngagement2.2430.5771.0000.25Monte Carlo, simulatedNone
Engagement status and lifecycle stageEngagement9.0360.1710.5130.36Monte Carlo, simulatede
Respondent roleRespondent12.6760.0470.2180.16Monte Carlo, simulatedf
Vendor typeRespondent25.53150.0440.2180.19Monte Carlo, simulatedNone
Note: a KPO, n = 4. b Not computable, fewer than two levels reach 10 answers. c Asset management, n = 6, Wealth management and private banking, n = 6, Investment banking (advisory and capital-markets origination), n = 3, Insurance (life, property and casualty, health), n = 3, Commercial and business banking, n = 6, Payments and merchant acquiring (networks, acquiring, processing), n = 4, Credit card and payments issuing, n = 4, Retail and consumer banking, n = 2, Markets and trading (sales and trading, global markets), n = 1, Private equity and private capital, n = 2. d Technology engineering and operations, n = 7, Client servicing and communications, n = 5, Trade, settlement and reconciliation, n = 4, Payments, cards and disputes, n = 6, Credit, underwriting and suitability, n = 0, Regulatory, audit, tax and legal, n = 3, Financial crime and client onboarding, n = 2. e Active, Production, n = 3. f Customer Management Executive, n = 2.

Engagement families were tested on engagement answers, and respondent role and vendor type were tested on respondents. No difference held after Holm control for outsourcing model, class of work, engagement status and lifecycle stage, respondent role and vendor type.

Association with Cancellation Rate

The share of engagements canceled on the study date, measured at engagement level (base 150 engagements, 56 canceled). The association is a descriptive contrast, inflated because canceled engagements were rated after cancellation, and is not predictive.

The measure by the engagement’s assigned answer.

Table 6. Association with cancellation rate by answer levelTable
Answer levelEngagementsCanceledCancellation rate
Under $1 million30‡
$1 million to under $5 million15533.33%
$5 million to under $10 million16318.75%
$10 million to under $25 million32‡
I do not know773038.96%
Note: ‡ Base under 10. No statistic is reported.

The test across answer levels, in the study set and inside each segment. Levels under 10 engagements were left out of each test.

Table 7. Association with cancellation rate, tests across answer levels by segmentTable
SegmentEngagementsChi-squaredfpHolm pCramer’s VTest for p
Study set310.8610.4330.4330.17Fisher exact
Outsourcing model
CXMFewer than two answer levels with at least 10 engagements
ITOFewer than two answer levels with at least 10 engagements
BPOFewer than two answer levels with at least 10 engagements
KPOFewer than two answer levels with at least 10 engagements
Institution type
Asset managementFewer than two answer levels with at least 10 engagements
Wealth management and private bankingFewer than two answer levels with at least 10 engagements
Investment banking (advisory and capital-markets origination)Fewer than two answer levels with at least 10 engagements
Insurance (life, property and casualty, health)Fewer than two answer levels with at least 10 engagements
Commercial and business bankingFewer than two answer levels with at least 10 engagements
Payments and merchant acquiring (networks, acquiring, processing)Fewer than two answer levels with at least 10 engagements
Credit card and payments issuing8‡
Retail and consumer bankingFewer than two answer levels with at least 10 engagements
Markets and trading (sales and trading, global markets)7‡
Private equity and private capital7‡
Process family
Corporate and back-office functionsFewer than two answer levels with at least 10 engagements
Technology engineering and operationsFewer than two answer levels with at least 10 engagements
Client servicing and communicationsFewer than two answer levels with at least 10 engagements
Trade, settlement and reconciliationFewer than two answer levels with at least 10 engagements
Payments, cards and disputesFewer than two answer levels with at least 10 engagements
Credit, underwriting and suitability7‡
Regulatory, audit, tax and legal6‡
Financial crime and client onboarding7‡
Class of work
LOB OperationalFewer than two answer levels with at least 10 engagements
Corporate FunctionalFewer than two answer levels with at least 10 engagements
Engagement status and lifecycle stage
Active, Build-OutNot computable, no variation in cancellation
Active, Transition/Cut-OverNot computable, no variation in cancellation
Active, ProductionNot computable, no variation in cancellation
CanceledNot computable, no variation in cancellation
Note: ‡ Base under 10. No statistic is reported.

Cancellation in the study set did not differ across answer levels (Fisher exact, chi-square 0.86, p 0.433, n = 31 engagements).

Association with Customer Satisfaction

The satisfaction score recorded against each engagement on a 100-point scale. The primary estimate uses the 94 active engagements. A descriptive contrast uses all 150 engagements.

The measure by the engagement’s assigned answer.

Table 8. Association with customer satisfaction by answer levelTable
Answer levelEngagementsMean of the measureSD
Under $1 million3‡
$1 million to under $5 million1066.414.8
$5 million to under $10 million1362.89.5
$10 million to under $25 million1‡
I do not know4764.211.4
Note: ‡ Base under 10. No statistic is reported.

The test across answer levels, in the study set and inside each segment. Levels under 10 engagements were left out of each test.

Table 9. Association with customer satisfaction, tests across answer levels by segmentTable
SegmentEngagementsWelch FdfpHolm pOmega squared90% CI
Study set230.441, 14.50.5190.519−0.023†
Outsourcing model
CXMFewer than two answer levels with at least 10 engagements
ITOFewer than two answer levels with at least 10 engagements
BPOFewer than two answer levels with at least 10 engagements
KPOFewer than two answer levels with at least 10 engagements
Institution type
Asset managementFewer than two answer levels with at least 10 engagements
Wealth management and private bankingFewer than two answer levels with at least 10 engagements
Investment banking (advisory and capital-markets origination)7‡
Insurance (life, property and casualty, health)7‡
Commercial and business banking7‡
Payments and merchant acquiring (networks, acquiring, processing)9‡
Credit card and payments issuing5‡
Retail and consumer banking7‡
Markets and trading (sales and trading, global markets)5‡
Private equity and private capital5‡
Process family
Corporate and back-office functionsFewer than two answer levels with at least 10 engagements
Technology engineering and operationsFewer than two answer levels with at least 10 engagements
Client servicing and communications7‡
Trade, settlement and reconciliation5‡
Payments, cards and disputes9‡
Credit, underwriting and suitability6‡
Regulatory, audit, tax and legal3‡
Financial crime and client onboarding4‡
Class of work
LOB OperationalFewer than two answer levels with at least 10 engagements
Corporate FunctionalFewer than two answer levels with at least 10 engagements
Engagement status and lifecycle stage
Active, Build-OutFewer than two answer levels with at least 10 engagements
Active, Transition/Cut-OverFewer than two answer levels with at least 10 engagements
Active, ProductionFewer than two answer levels with at least 10 engagements
Canceledno clean estimate, canceled engagements fall outside the active population
Note: † Base under 30. No interval is reported. ‡ Base under 10. No statistic is reported.

The measure in the study set did not differ across answer levels (Welch F 0.44, p 0.519, n = 23 engagements). The clean estimate ran inside active engagements only.

Association with the Engagement Indicator Mean

The mean of an engagement’s 100 indicator ratings, measured at engagement level (base 150 engagements). Where this indicator is one of the 100, the mean is recomputed without it.

The measure by the engagement’s assigned answer.

Table 10. Association with the engagement indicator mean by answer levelTable
Answer levelEngagementsMean of the measureSD
Under $1 million3‡
$1 million to under $5 million154.31.9
$5 million to under $10 million164.41.1
$10 million to under $25 million3‡
I do not know774.01.5
Note: ‡ Base under 10. No statistic is reported.

The test across answer levels, in the study set and inside each segment. Levels under 10 engagements were left out of each test.

Table 11. Association with the engagement indicator mean, tests across answer levels by segmentTable
SegmentEngagementsWelch FdfpHolm pOmega squared90% CI
Study set310.031, 21.80.8630.863−0.0320.000 to 0.063
Outsourcing model
CXMFewer than two answer levels with at least 10 engagements
ITOFewer than two answer levels with at least 10 engagements
BPOFewer than two answer levels with at least 10 engagements
KPOFewer than two answer levels with at least 10 engagements
Institution type
Asset managementFewer than two answer levels with at least 10 engagements
Wealth management and private bankingFewer than two answer levels with at least 10 engagements
Investment banking (advisory and capital-markets origination)Fewer than two answer levels with at least 10 engagements
Insurance (life, property and casualty, health)Fewer than two answer levels with at least 10 engagements
Commercial and business bankingFewer than two answer levels with at least 10 engagements
Payments and merchant acquiring (networks, acquiring, processing)Fewer than two answer levels with at least 10 engagements
Credit card and payments issuing8‡
Retail and consumer bankingFewer than two answer levels with at least 10 engagements
Markets and trading (sales and trading, global markets)7‡
Private equity and private capital7‡
Process family
Corporate and back-office functionsFewer than two answer levels with at least 10 engagements
Technology engineering and operationsFewer than two answer levels with at least 10 engagements
Client servicing and communicationsFewer than two answer levels with at least 10 engagements
Trade, settlement and reconciliationFewer than two answer levels with at least 10 engagements
Payments, cards and disputesFewer than two answer levels with at least 10 engagements
Credit, underwriting and suitability7‡
Regulatory, audit, tax and legal6‡
Financial crime and client onboarding7‡
Class of work
LOB OperationalFewer than two answer levels with at least 10 engagements
Corporate FunctionalFewer than two answer levels with at least 10 engagements
Engagement status and lifecycle stage
Active, Build-OutFewer than two answer levels with at least 10 engagements
Active, Transition/Cut-OverFewer than two answer levels with at least 10 engagements
Active, ProductionFewer than two answer levels with at least 10 engagements
CanceledFewer than two answer levels with at least 10 engagements
Note: ‡ Base under 10. No statistic is reported.

The measure in the study set did not differ across answer levels (Welch F 0.03, p 0.863, n = 31 engagements).

Association with Intent to Leave

The respondent’s stated likelihood of leaving the current job within 12 months, rated 1 to 10 (C019). Measured at respondent level on up to 798 respondents, with the engagement-level form reported alongside.

The measure by the engagement’s assigned answer.

Table 12. Association with intent to leave by answer levelTable
Answer levelEngagementsMean of the measureSD
Under $1 million3‡
$1 million to under $5 million156.52.8
$5 million to under $10 million166.02.3
$10 million to under $25 million3‡
I do not know776.82.3
Note: ‡ Base under 10. No statistic is reported.

The test across answer levels, in the study set and inside each segment. Levels under 10 engagements were left out of each test.

Table 13. Association with intent to leave, tests across answer levels by segmentTable
SegmentEngagementsWelch FdfpHolm pOmega squared90% CI
Study set310.251, 27.30.6210.621−0.0250.000 to 0.125
Outsourcing model
CXMFewer than two answer levels with at least 10 engagements
ITOFewer than two answer levels with at least 10 engagements
BPOFewer than two answer levels with at least 10 engagements
KPOFewer than two answer levels with at least 10 engagements
Institution type
Asset managementFewer than two answer levels with at least 10 engagements
Wealth management and private bankingFewer than two answer levels with at least 10 engagements
Investment banking (advisory and capital-markets origination)Fewer than two answer levels with at least 10 engagements
Insurance (life, property and casualty, health)Fewer than two answer levels with at least 10 engagements
Commercial and business bankingFewer than two answer levels with at least 10 engagements
Payments and merchant acquiring (networks, acquiring, processing)Fewer than two answer levels with at least 10 engagements
Credit card and payments issuing8‡
Retail and consumer bankingFewer than two answer levels with at least 10 engagements
Markets and trading (sales and trading, global markets)7‡
Private equity and private capital7‡
Process family
Corporate and back-office functionsFewer than two answer levels with at least 10 engagements
Technology engineering and operationsFewer than two answer levels with at least 10 engagements
Client servicing and communicationsFewer than two answer levels with at least 10 engagements
Trade, settlement and reconciliationFewer than two answer levels with at least 10 engagements
Payments, cards and disputesFewer than two answer levels with at least 10 engagements
Credit, underwriting and suitability7‡
Regulatory, audit, tax and legal6‡
Financial crime and client onboarding7‡
Class of work
LOB OperationalFewer than two answer levels with at least 10 engagements
Corporate FunctionalFewer than two answer levels with at least 10 engagements
Engagement status and lifecycle stage
Active, Build-OutFewer than two answer levels with at least 10 engagements
Active, Transition/Cut-OverFewer than two answer levels with at least 10 engagements
Active, ProductionFewer than two answer levels with at least 10 engagements
CanceledFewer than two answer levels with at least 10 engagements
Note: ‡ Base under 10. No statistic is reported.

The measure in the study set did not differ across answer levels (Welch F 0.25, p 0.621, n = 31 engagements).

Comparison of Associations Across the Four Measures

Table 14. Associations across the four measuresTable
MeasureEffect sizenValuepEquivalent to zeroRank among the four
Cancellation rateOmega squared, 0 or 1 flag31−0.0060.433No1
Customer satisfactionOmega squared23−0.0230.519No2
Engagement indicator meanOmega squared31−0.0320.863Yes4
Intent to leaveOmega squared31−0.0250.621No3

Steiger’s z compares two correlations, and a categorical answer yields an effect size across levels rather than a correlation, so the pairs are not tested.

Clustering and Effective Sample Size

Table 15. Clustering and effective sample sizeTable
StatisticValueReading
Clusters (engagements)150Engagements with at least one answer.
Mean respondents per engagement4.0Answers per engagement with at least one answer.
ICC(1)0.07Share of variance between engagements.
Design effect1.211 plus (mean cluster size minus 1) times ICC.
Nominal respondent n601Every answer, with I do not know and I prefer to not answer counted as levels, as the plurality rule counts them.
Effective n498Nominal n divided by the design effect.
Cluster bootstrap appliedYesApplied to every respondent level CI where the ICC is 0.05 or above.

Clustering reduced the 601 respondent answers to about 498 independent answers. Respondent level intervals therefore used the cluster bootstrap, and respondent level tests on intent to leave used cluster-robust errors.

Equivalence Tests of Null Results

Table 16. Equivalence tests of null resultsTable
MeasurenOmega squaredEquivalence boundEquivalence pEquivalent to zeroAchieved powerMDE at power 0.80
Cancellation rate31−0.006Omega squared < 0.0900.195No0.390.213
Customer satisfaction23−0.023Omega squared < 0.0900.194No0.300.273
Engagement indicator mean31−0.032Omega squared < 0.0900.031Yes0.390.213
Intent to leave31−0.025Omega squared < 0.0900.093No0.390.213

The bound is the ruled |r| < 0.30 expressed as variance explained (V15-R22). Equivalent to zero: engagement indicator mean.

Robustness Checks

Table 17. Robustness checksTable
CheckMeasurePrimary pCheck pCheck statisticConclusion holds
Kruskal-Wallis in place of Welch FCustomer satisfaction0.5190.4380.60Yes
Kruskal-Wallis in place of Welch FEngagement indicator mean0.8630.8130.06Yes
Kruskal-Wallis in place of Welch FIntent to leave0.6210.5400.38Yes
Active engagements onlyEngagement indicator mean0.8630.4660.57Yes
Active engagements onlyIntent to leave0.6210.8500.04Yes
Respondent level, cluster-robust Wald F by engagementCancellation rate0.4330.0123.82No
Respondent level, cluster-robust Wald F by engagementCustomer satisfaction0.5190.1172.00Yes
Respondent level, cluster-robust Wald F by engagementEngagement indicator mean0.8630.0802.31Yes
Respondent level, cluster-robust Wald F by engagementIntent to leave0.6210.6780.51Yes

Checks that did not hold: “Respondent level, cluster-robust Wald F by engagement” on cancellation rate. A check holds when its test lands on the same side of 0.05 as the primary test.

Measure Independence and Part-Whole Correction

Each of the four measures was computed from data this indicator does not contain, so each result is a finding rather than an arithmetic consequence.

Comparison with the Study Norm

Not applicable. A categorical item has no signed correlation, so it has no profile. Its per-level means carry the comparison.

Interpretation of the Data

The third value band showed the lowest cancellation (18.75% canceled, n = 16 engagements) and the lowest intent to leave (mean 6.0, n = 16 engagements) of the bands tested. Engagements whose plurality answer was I do not know, which were left out of the tests, had a higher cancellation share than either tested band (38.96% canceled, n = 77 engagements). Most robustness checks run on this item held (8 of 9 checks). No gap between the tested bands held under test.

Limitations

The evidence is reported experience: what the delivery team said about its own engagement, gathered in one cross-section. The figures showed associations, not causes. Indicators about the financial institution were reported at second hand by vendor staff. Cancellation is a descriptive contrast, because canceled engagements were rated after they ended.

Tests across respondent role and vendor type were run at respondent level and treated respondents as independent. The section Clustering and Effective Sample Size states whether, and by how much, clustering within engagements reduced the information in respondent level figures.

Each measure test left out the lowest band, the top band, and the I do not know answers (n = 3, n = 3, n = 77 engagements), so the tests compared the two middle bands on a small base of engagements (chi-square 0.86, p 0.433, Cramer’s V 0.17, n = 31 engagements). Engagements took their value band from the plurality of respondent answers, which left some engagements unassigned (114 of 150 engagements).

Definitions

Table 18. DefinitionsTable
TermDefinition
Response scaleAs recorded, shown in Table 1. The indicator is not a rating, so no distressed range is defined.
Answering baseRespondents who gave one of the listed answers.
Non-answers“I do not know” and “I prefer to not answer” are counted separately and are excluded from the answering base and the shares.
Indicator classPerceived fact: a state of the engagement as the respondent perceives it, so “I do not know” is counted and reported as an answer.
Failure categoryOne of the five failure categories of the Study Taxonomy, section 3. Only the 100 rated indicators carry one, and the indicator is not among them.
Engagement indicator meanThe mean of an engagement’s 100 indicator ratings.

Sources and Provenance

Table 19. Sources and provenanceTable
ItemValue
Study dataStudy Data.xlsx, Data sheet, column C046, sha256 219eba0457274d04
Statistics enginecompute_statistics.py, sha256 738319eef764602b
Statistics recordComputed Statistics.json, record C046, sha256 e405f65a43e37a6e
ComputedOctober 8, 2026, 01:38 UTC
TemplateIndicator Statistical Analysis Template, version 1.1 of 2026-10-06
Figures placed by script659 of 659

Continue the report

Executive summary →
Overview

Executive Summary

Four findings from 150 engagements

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Introduction

Introduction

Scope, evidence, and how the report is organized

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Part 1

Engagement Outcomes

Poor results on every measure, and what separates them

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Part 2

The Five Failure Categories

Where failure concentrates, category by category

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Part 3

Governance, Oversight, and Control

Controls that existed in name only

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Part 4

The Delivery Workforce

Early in their careers, dissatisfied, and many intending to leave

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Part 5

Manual Alteration

How the delivery team altered the work to sustain it

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Part 6

Executive Action Plan

Seven immediate actions and a first-year plan

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Appendices

Appendices

Definitions, indicator inventory, method, and disclosures

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Data

Study Data

Deep-dive analyses of the study indicators, published in stages

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