Compared to 5 years ago, I am more likely to seek a new job
Indicator C023 · By Phil Hatch · Akholi · October 9, 2026
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19 sectionsIndicator Specification
| Field | Value |
|---|---|
| Indicator code | C023 |
| Question as asked | Compared to 5 years ago, I am more likely to seek a new job. |
| Failure category | Not one of the 100 rated indicators |
| Place in the survey | Respondent Demographics > 1.3 Sentiment and Retention > Five-Year Shift |
| Indicator class | Respondent level |
| Indicator type | Rated, INV |
| Response scale | 1 to 10, higher is the worse outcome |
| Answering base | 801 of 850 respondents, across 150 of 150 engagements |
| Non-answers | I do not know 0, I prefer to not answer 0, blank 49 |
Summary of Findings
| Measure | Form | n | r | 95% CI | p |
|---|---|---|---|---|---|
| Cancellation rate | Descriptive contrast | 150 engagements | −0.59 | −0.69 to −0.48 | < 0.001 |
| Customer satisfaction | Clean estimate | 94 engagements | 0.74 | 0.64 to 0.82 | < 0.001 |
| Engagement indicator mean | Full | 150 engagements | 0.77 | 0.70 to 0.83 | < 0.001 |
| Intent to leave | Respondent level, clustered | 754 respondents | −0.76 | −0.81 to −0.71 | < 0.001 |
Every rating is read on the goodness view, the reversed scale on which a higher figure is the better outcome. The mean rating was 4.9 and the median 5.0 (n = 801 respondents). Ratings of 3 or below on the goodness view, the distressed range, made up 26.97% of the answers. The rating was associated with all four study measures. Higher ratings on the goodness view came with less cancellation (r = −0.59, 95% CI −0.69 to −0.48, p < 0.001, n = 150 engagements), higher customer satisfaction among active engagements (r = 0.74, 95% CI 0.64 to 0.82, p < 0.001, n = 94 engagements), a higher engagement indicator mean (r = 0.77, 95% CI 0.70 to 0.83, p < 0.001, n = 150 engagements) and lower intent to leave (r = −0.76, cluster bootstrap 95% CI −0.81 to −0.71, p < 0.001 with standard errors clustered by engagement, n = 754 respondents). After Holm correction, ratings differed by engagement status and lifecycle stage (Welch F 31.34, Holm p < 0.001, omega squared 0.347) and respondent role (Welch F 10.35, Holm p < 0.001, omega squared 0.013).
No written response addressed the indicator.
Distribution of Ratings
| Answer | Respondents | Share of answered (base 801) | Cumulative share | Engagements with at least one | Share of 150 engagements | Distressed |
|---|---|---|---|---|---|---|
| 1 | 16 | 2.00% | 2.00% | 10 | 6.67% | No |
| 2 | 33 | 4.12% | 6.12% | 18 | 12.00% | No |
| 3 | 51 | 6.37% | 12.48% | 35 | 23.33% | No |
| 4 | 94 | 11.74% | 24.22% | 60 | 40.00% | No |
| 5 | 127 | 15.86% | 40.07% | 77 | 51.33% | No |
| 6 | 134 | 16.73% | 56.80% | 85 | 56.67% | No |
| 7 | 130 | 16.23% | 73.03% | 78 | 52.00% | No |
| 8 | 98 | 12.23% | 85.27% | 69 | 46.00% | Yes |
| 9 | 65 | 8.11% | 93.38% | 43 | 28.67% | Yes |
| 10 | 53 | 6.62% | 100.00% | 32 | 21.33% | Yes |
| I do not know | 0 | Not in base | Not in base | 0 | 0.00% | Not applicable |
| I prefer to not answer | 0 | Not in base | Not in base | 0 | 0.00% | Not applicable |
| Answered, total | 801 | 100.00% | 150 | 100.00% |
| Engagement level summary | Engagements | Mean of engagement means | SD | Min | Median | Max | Engagements with a distressed mean | Share of engagements distressed |
|---|---|---|---|---|---|---|---|---|
| Engagement means, goodness view | 150 | 4.9 | 1.9 | 1.3 | 4.8 | 9.6 | 28 | 18.67% |
Ratings of 3 or below on the goodness view, the distressed range, accounted for 216 of the 801 answers (26.97%). The engagement mean fell in the distressed range in 28 of 150 engagements.
Descriptive Statistics by Segment
| Segment | Base | Answered | Answer rate | Engagements | Mean | 95% CI | SD |
|---|---|---|---|---|---|---|---|
| Study set | 850 | 801 | 94.24% of 850 | 150 | 4.9 | 4.8 to 5.1 | 2.2 |
| Outsourcing model | |||||||
| CXM | 232 | 214 | 92.24% of 232 | 42 | 5.1 | 4.8 to 5.4 | 2.3 |
| ITO | 244 | 233 | 95.49% of 244 | 40 | 4.7 | 4.5 to 5.0 | 1.9 |
| BPO | 209 | 200 | 95.69% of 209 | 37 | 5.0 | 4.7 to 5.3 | 2.4 |
| KPO | 165 | 154 | 93.33% of 165 | 31 | 4.9 | 4.5 to 5.3 | 2.3 |
| Institution type | |||||||
| Asset management | 132 | 127 | 96.21% of 132 | 24 | 4.7 | 4.3 to 5.1 | 2.3 |
| Wealth management and private banking | 140 | 128 | 91.43% of 140 | 23 | 5.3 | 5.0 to 5.7 | 2.0 |
| Investment banking (advisory and capital-markets origination) | 105 | 101 | 96.19% of 105 | 19 | 4.1 | 3.7 to 4.5 | 2.1 |
| Insurance (life, property and casualty, health) | 78 | 72 | 92.31% of 78 | 14 | 4.6 | 4.2 to 5.1 | 2.0 |
| Commercial and business banking | 82 | 77 | 93.90% of 82 | 13 | 5.3 | 4.8 to 5.7 | 2.0 |
| Payments and merchant acquiring (networks, acquiring, processing) | 71 | 70 | 98.59% of 71 | 13 | 5.3 | 4.8 to 5.8 | 2.0 |
| Credit card and payments issuing | 73 | 67 | 91.78% of 73 | 12 | 4.8 | 4.2 to 5.3 | 2.3 |
| Retail and consumer banking | 73 | 68 | 93.15% of 73 | 12 | 5.9 | 5.3 to 6.4 | 2.3 |
| Markets and trading (sales and trading, global markets) | 57 | 54 | 94.74% of 57 | 11 | 5.0 | 4.3 to 5.6 | 2.3 |
| Private equity and private capital | 39 | 37 | 94.87% of 39 | 9 | 4.5 | 3.8 to 5.3 | 2.3 |
| Process family | |||||||
| Corporate and back-office functions | 248 | 233 | 93.95% of 248 | 47 | 4.9 | 4.6 to 5.2 | 2.4 |
| Technology engineering and operations | 204 | 197 | 96.57% of 204 | 35 | 5.1 | 4.8 to 5.3 | 1.8 |
| Client servicing and communications | 94 | 84 | 89.36% of 94 | 16 | 4.6 | 4.2 to 5.1 | 2.1 |
| Trade, settlement and reconciliation | 80 | 77 | 96.25% of 80 | 15 | 4.4 | 3.9 to 4.9 | 2.2 |
| Payments, cards and disputes | 73 | 66 | 90.41% of 73 | 12 | 5.7 | 5.1 to 6.3 | 2.4 |
| Credit, underwriting and suitability | 57 | 54 | 94.74% of 57 | 9 | 5.2 | 4.6 to 5.8 | 2.3 |
| Regulatory, audit, tax and legal | 51 | 49 | 96.08% of 51 | 9 | 4.5 | 4.0 to 5.1 | 1.9 |
| Financial crime and client onboarding | 43 | 41 | 95.35% of 43 | 7 | 5.0 | 4.2 to 5.8 | 2.5 |
| Class of work | |||||||
| LOB Operational | 451 | 420 | 93.13% of 451 | 76 | 4.9 | 4.7 to 5.1 | 2.2 |
| Corporate Functional | 399 | 381 | 95.49% of 399 | 74 | 5.0 | 4.7 to 5.2 | 2.2 |
| Engagement status and lifecycle stage | |||||||
| Active, Build-Out | 175 | 164 | 93.71% of 175 | 31 | 5.9 | 5.6 to 6.2 | 2.0 |
| Active, Transition/Cut-Over | 250 | 239 | 95.60% of 250 | 43 | 5.6 | 5.3 to 5.8 | 1.9 |
| Active, Production | 103 | 96 | 93.20% of 103 | 20 | 6.1 | 5.7 to 6.5 | 2.1 |
| Canceled | 322 | 302 | 93.79% of 322 | 56 | 3.6 | 3.4 to 3.8 | 1.8 |
| Respondent role | |||||||
| Individual Contributor | 667 | 619 | 92.80% of 667 | 150 | 4.8 | 4.6 to 5.0 | 2.2 |
| Engagement Manager | 150 | 150 | 100.00% of 150 | 150 | 5.1 | 4.8 to 5.5 | 2.3 |
| Portfolio Director | 31 | 31 | 100.00% of 31 | 31 | 6.1 | 5.6 to 6.7 | 1.6 |
| Customer Management Executive | 2 | 1 | 1 of 2 | 1 | ‡ | ||
| Vendor type | |||||||
| IT services major | 316 | 301 | 95.25% of 316 | 59 | 5.1 | 4.9 to 5.3 | 2.0 |
| BPO specialist | 198 | 186 | 93.94% of 198 | 37 | 4.6 | 4.2 to 4.9 | 2.4 |
| Consulting firm | 117 | 109 | 93.16% of 117 | 23 | 5.1 | 4.7 to 5.5 | 2.2 |
| Boutique or specialist provider | 87 | 83 | 95.40% of 87 | 17 | 4.9 | 4.4 to 5.4 | 2.3 |
| Pure-play agentic AI firm | 75 | 69 | 92.00% of 75 | 14 | 5.2 | 4.6 to 5.8 | 2.5 |
| Not reported, recovered by engagement | 57 | 53 | 92.98% of 57 | 43 | 4.5 | 4.0 to 5.0 | 1.9 |
| Segment | Min | Q1 | Median | Q3 | Max | Distressed n | Distressed % |
|---|---|---|---|---|---|---|---|
| Study set | 1.0 | 3.0 | 5.0 | 6.0 | 10.0 | 216 | 26.97% |
| Outsourcing model | |||||||
| CXM | 1.0 | 3.3 | 5.0 | 7.0 | 10.0 | 54 | 25.23% |
| ITO | 1.0 | 3.0 | 5.0 | 6.0 | 10.0 | 62 | 26.61% |
| BPO | 1.0 | 3.0 | 5.0 | 7.0 | 10.0 | 55 | 27.50% |
| KPO | 1.0 | 3.0 | 5.0 | 7.0 | 10.0 | 45 | 29.22% |
| Institution type | |||||||
| Asset management | 1.0 | 3.0 | 4.0 | 6.0 | 10.0 | 37 | 29.13% |
| Wealth management and private banking | 1.0 | 4.0 | 5.0 | 7.0 | 10.0 | 25 | 19.53% |
| Investment banking (advisory and capital-markets origination) | 1.0 | 2.0 | 4.0 | 6.0 | 9.0 | 43 | 42.57% |
| Insurance (life, property and casualty, health) | 1.0 | 3.0 | 5.0 | 6.0 | 10.0 | 22 | 30.56% |
| Commercial and business banking | 1.0 | 4.0 | 5.0 | 7.0 | 10.0 | 15 | 19.48% |
| Payments and merchant acquiring (networks, acquiring, processing) | 1.0 | 4.0 | 5.0 | 6.0 | 10.0 | 12 | 17.14% |
| Credit card and payments issuing | 1.0 | 3.0 | 5.0 | 6.0 | 10.0 | 19 | 28.36% |
| Retail and consumer banking | 1.0 | 4.0 | 6.0 | 8.0 | 10.0 | 11 | 16.18% |
| Markets and trading (sales and trading, global markets) | 1.0 | 3.0 | 5.0 | 7.0 | 10.0 | 18 | 33.33% |
| Private equity and private capital | 1.0 | 3.0 | 4.0 | 6.0 | 10.0 | 14 | 37.84% |
| Process family | |||||||
| Corporate and back-office functions | 1.0 | 3.0 | 5.0 | 7.0 | 10.0 | 70 | 30.04% |
| Technology engineering and operations | 1.0 | 4.0 | 5.0 | 6.0 | 10.0 | 36 | 18.27% |
| Client servicing and communications | 1.0 | 3.0 | 4.5 | 6.0 | 10.0 | 27 | 32.14% |
| Trade, settlement and reconciliation | 1.0 | 3.0 | 4.0 | 6.0 | 9.0 | 25 | 32.47% |
| Payments, cards and disputes | 1.0 | 4.0 | 6.0 | 7.0 | 10.0 | 13 | 19.70% |
| Credit, underwriting and suitability | 1.0 | 3.3 | 6.0 | 7.0 | 10.0 | 14 | 25.93% |
| Regulatory, audit, tax and legal | 1.0 | 3.0 | 4.0 | 6.0 | 8.0 | 16 | 32.65% |
| Financial crime and client onboarding | 1.0 | 3.0 | 5.0 | 7.0 | 10.0 | 15 | 36.59% |
| Class of work | |||||||
| LOB Operational | 1.0 | 3.0 | 5.0 | 7.0 | 10.0 | 118 | 28.10% |
| Corporate Functional | 1.0 | 3.0 | 5.0 | 6.0 | 10.0 | 98 | 25.72% |
| Engagement status and lifecycle stage | |||||||
| Active, Build-Out | 1.0 | 4.8 | 6.0 | 7.0 | 10.0 | 17 | 10.37% |
| Active, Transition/Cut-Over | 1.0 | 4.0 | 6.0 | 7.0 | 10.0 | 39 | 16.32% |
| Active, Production | 1.0 | 5.0 | 6.0 | 7.3 | 10.0 | 7 | 7.29% |
| Canceled | 1.0 | 2.0 | 3.0 | 5.0 | 9.0 | 153 | 50.66% |
| Respondent role | |||||||
| Individual Contributor | 1.0 | 3.0 | 5.0 | 6.0 | 10.0 | 175 | 28.27% |
| Engagement Manager | 1.0 | 3.0 | 5.0 | 7.0 | 10.0 | 40 | 26.67% |
| Portfolio Director | 3.0 | 5.0 | 6.0 | 7.0 | 9.0 | 1 | 3.23% |
| Customer Management Executive | ‡ n = 1 | ||||||
| Vendor type | |||||||
| IT services major | 1.0 | 4.0 | 5.0 | 6.0 | 10.0 | 62 | 20.60% |
| BPO specialist | 1.0 | 3.0 | 4.5 | 6.0 | 10.0 | 66 | 35.48% |
| Consulting firm | 1.0 | 3.0 | 5.0 | 7.0 | 10.0 | 28 | 25.69% |
| Boutique or specialist provider | 1.0 | 3.0 | 5.0 | 6.0 | 10.0 | 23 | 27.71% |
| Pure-play agentic AI firm | 1.0 | 3.0 | 5.0 | 7.0 | 9.0 | 20 | 28.99% |
| Not reported, recovered by engagement | 1.0 | 3.0 | 5.0 | 6.0 | 8.0 | 17 | 32.08% |
Every figure in the segment tables is at respondent level. Segments with fewer than 30 respondents carry no interval. Segments with fewer than 10 report counts only.
Tests of Difference Between Segments
| Segment family | Welch F | df | p | Holm p | Omega squared | 90% CI |
|---|---|---|---|---|---|---|
| Outsourcing model | 0.48 | 3, 77.9 | 0.699 | 1.000 | −0.012 | 0.000 to 0.026 |
| Institution type | 1.23 | 8, 49.3 | 0.301 | 1.000 | 0.017 | 0.000 to 0.098 |
| Process family | 0.99 | 4, 38.2 | 0.426 | 1.000 | 0.007 | 0.000 to 0.081 |
| Class of work | 0.02 | 1, 148.0 | 0.897 | 1.000 | −0.007 | 0.000 to 0.010 |
| Engagement status and lifecycle stage | 31.34 | 3, 57.6 | < 0.001 | < 0.001 | 0.347 | 0.251 to 0.439 |
| Respondent role | 10.35 | 2, 80.0 | < 0.001 | < 0.001 | 0.013 | 0.003 to 0.031 |
| Vendor type | 2.24 | 5, 229.8 | 0.051 | 0.256 | 0.007 | 0.000 to 0.024 |
| Segment family | Kruskal-Wallis H | p | Distressed chi-square | df | p | Cramer's V | Levels excluded |
|---|---|---|---|---|---|---|---|
| Outsourcing model | 1.29 | 0.730 | 0.17 | 3 | 0.982 | 0.03 | None |
| Institution type | 8.88 | 0.352 | 7.90 | 8 | 0.453, simulated | 0.24 | Private equity and private capital, n = 9 |
| Process family | 4.72 | 0.317 | 2.68 | 4 | 0.626, simulated | 0.15 | Credit, underwriting and suitability, n = 9, Regulatory, audit, tax and legal, n = 9, Financial crime and client onboarding, n = 7 |
| Class of work | 0.05 | 0.824 | 0.25 | 1 | 0.619 | 0.04 | None |
| Engagement status and lifecycle stage | 56.66 | < 0.001 | 25.49 | 3 | < 0.001, simulated | 0.41 | None |
| Respondent role | 13.25 | 0.001 | 9.41 | 2 | 0.009 | 0.11 | Customer Management Executive, n = 1 |
| Vendor type | 10.29 | 0.067 | 14.01 | 5 | 0.016 | 0.13 | None |
Segment families recorded at engagement level were tested on engagement means. Respondent role and vendor type were tested on respondents. Where an expected count fell below 5, the test of the distressed share used Fisher's exact test for a two-by-two table, marked exact, or a Monte Carlo test, marked simulated. After Holm correction, ratings differed by engagement status and lifecycle stage (Welch F 31.34, Holm p < 0.001, omega squared 0.347). Active engagements in Production rated highest (mean 6.1, n = 96 respondents) and canceled engagements lowest (mean 3.6, n = 302 respondents). Ratings also differed by respondent role (Welch F 10.35, Holm p < 0.001, omega squared 0.013). Portfolio directors rated highest (mean 6.1, n = 31 respondents) and individual contributors lowest (mean 4.8, n = 619 respondents). Outsourcing model, institution type, process family, class of work and vendor type showed no difference.
Association with Cancellation Rate
Cancellation rate is the share of engagements canceled by the study date, measured at engagement level (150 engagements, 56 canceled). Canceled engagements were rated after cancellation. The association is therefore a descriptive contrast and not a forecast of cancellation.
| Segment | Engagements | Canceled | Cancellation rate | Point-biserial r | 95% CI | p | Holm p |
|---|---|---|---|---|---|---|---|
| Study set | 150 | 56 | 37.33% of 150 | −0.59 | −0.69 to −0.48 | < 0.001 | < 0.001 |
| Outsourcing model | |||||||
| CXM | 42 | 15 | 35.71% of 42 | −0.69 | −0.82 to −0.49 | < 0.001 | < 0.001 |
| ITO | 40 | 15 | 37.50% of 40 | −0.46 | −0.67 to −0.17 | 0.003 | 0.033 |
| BPO | 37 | 14 | 37.84% of 37 | −0.70 | −0.83 to −0.48 | < 0.001 | < 0.001 |
| KPO | 31 | 12 | 38.71% of 31 | −0.49 | −0.72 to −0.17 | 0.005 | 0.045 |
| Institution type | |||||||
| Asset management | 24 | 13 | 54.17% of 24 | −0.67 | † | < 0.001 | 0.005 |
| Wealth management and private banking | 23 | 8 | 34.78% of 23 | −0.61 | † | 0.002 | 0.022 |
| Investment banking (advisory and capital-markets origination) | 19 | 9 | 47.37% of 19 | −0.62 | † | 0.005 | 0.045 |
| Insurance (life, property and casualty, health) | 14 | 5 | 35.71% of 14 | −0.71 | † | 0.005 | 0.045 |
| Commercial and business banking | 13 | 4 | 30.77% of 13 | −0.35 | † | 0.241 | 0.372 |
| Payments and merchant acquiring (networks, acquiring, processing) | 13 | 3 | 23.08% of 13 | −0.39 | † | 0.186 | 0.372 |
| Credit card and payments issuing | 12 | 5 | 41.67% of 12 | −0.82 | † | 0.001 | 0.015 |
| Retail and consumer banking | 12 | 4 | 33.33% of 12 | −0.63 | † | 0.027 | 0.109 |
| Markets and trading (sales and trading, global markets) | 11 | 3 | 27.27% of 11 | −0.70 | † | 0.017 | 0.084 |
| Private equity and private capital | 9 | 2 | 2 of 9 | ‡ | |||
| Process family | |||||||
| Corporate and back-office functions | 47 | 19 | 40.43% of 47 | −0.63 | −0.78 to −0.42 | < 0.001 | < 0.001 |
| Technology engineering and operations | 35 | 10 | 28.57% of 35 | −0.46 | −0.69 to −0.15 | 0.006 | 0.045 |
| Client servicing and communications | 16 | 9 | 56.25% of 16 | −0.63 | † | 0.009 | 0.053 |
| Trade, settlement and reconciliation | 15 | 8 | 53.33% of 15 | −0.77 | † | < 0.001 | 0.012 |
| Payments, cards and disputes | 12 | 2 | 16.67% of 12 | −0.56 | † | 0.060 | 0.180 |
| Credit, underwriting and suitability | 9 | 1 | 1 of 9 | ‡ | |||
| Regulatory, audit, tax and legal | 9 | 4 | 4 of 9 | ‡ | |||
| Financial crime and client onboarding | 7 | 3 | 3 of 7 | ‡ | |||
| Class of work | |||||||
| LOB Operational | 76 | 30 | 39.47% of 76 | −0.56 | −0.70 to −0.38 | < 0.001 | < 0.001 |
| Corporate Functional | 74 | 26 | 35.14% of 74 | −0.63 | −0.75 to −0.47 | < 0.001 | < 0.001 |
| Engagement status and lifecycle stage | |||||||
| Active, Build-Out | 31 | 0 | 0.00% of 31 | a | |||
| Active, Transition/Cut-Over | 43 | 0 | 0.00% of 43 | a | |||
| Active, Production | 20 | 0 | 0.00% of 20 | a | |||
| Canceled | 56 | 56 | 100.00% of 56 | a |
| Segment | Odds ratio per point | 95% CI | AUC | Rate, distressed engagements | Rate, other engagements | Fisher p | TOST p |
|---|---|---|---|---|---|---|---|
| Study set | 0.33 | 0.23 to 0.48 | 0.87 | 78.57% of 28 | 27.87% of 122 | < 0.001 | 1.000 |
| Outsourcing model | |||||||
| CXM | 0.08 | 0.01 to 0.54 | 0.95 | 7 of 7 | 22.86% of 35 | < 0.001 | 1.000 |
| ITO | 0.41 | 0.21 to 0.80 | 0.78 | 5 of 8 | 31.25% of 32 | 0.126 | 0.869 |
| BPO | 0.20 | 0.06 to 0.64 | 0.93 | 6 of 7 | 26.67% of 30 | 0.007 | 0.999 |
| KPO | 0.51 | 0.30 to 0.86 | 0.79 | 4 of 6 | 32.00% of 25 | 0.174 | 0.891 |
| Institution type | |||||||
| Asset management | 0.17 | † n = 24 | 0.93 | 5 of 5 | 42.11% of 19 | 0.041 | 0.990 |
| Wealth management and private banking | 0.19 | † n = 23 | 0.89 | 2 of 2 | 28.57% of 21 | 0.111 | 0.965 |
| Investment banking (advisory and capital-markets origination) | 0.37 | † n = 19 | 0.84 | 6 of 6 | 23.08% of 13 | 0.003 | 0.952 |
| Insurance (life, property and casualty, health) | 0.03 | † n = 14 | 0.96 | 2 of 2 | 25.00% of 12 | 0.110 | 0.971 |
| Commercial and business banking | 0.54 | † n = 13 | 0.78 | 0 of 1 | 33.33% of 12 | 1.000 | 0.570 |
| Payments and merchant acquiring (networks, acquiring, processing) | 0.50 | † n = 13 | 0.80 | 0 of 1 | 25.00% of 12 | 1.000 | 0.629 |
| Credit card and payments issuing | 0.12 | † n = 12 | 1.00 | 3 of 3 | 2 of 9 | 0.045 | 0.994 |
| Retail and consumer banking | 0.30 | † n = 12 | 0.92 | 1 of 1 | 27.27% of 11 | 0.333 | 0.905 |
| Markets and trading (sales and trading, global markets) | 0.18 | † n = 11 | 0.92 | 2 of 3 | 1 of 8 | 0.152 | 0.942 |
| Private equity and private capital | ‡ n = 9 | ||||||
| Process family | |||||||
| Corporate and back-office functions | 0.37 | 0.21 to 0.64 | 0.88 | 83.33% of 12 | 25.71% of 35 | 0.001 | 0.998 |
| Technology engineering and operations | 0.33 | 0.14 to 0.79 | 0.81 | 3 of 5 | 23.33% of 30 | 0.128 | 0.854 |
| Client servicing and communications | 0.01 | † n = 16 | 0.94 | 2 of 2 | 50.00% of 14 | 0.475 | 0.941 |
| Trade, settlement and reconciliation | 0.02 | † n = 15 | 0.96 | 4 of 4 | 36.36% of 11 | 0.077 | 0.993 |
| Payments, cards and disputes | 0.33 | † n = 12 | 0.90 | 1 of 2 | 10.00% of 10 | 0.318 | 0.831 |
| Credit, underwriting and suitability | ‡ n = 9 | ||||||
| Regulatory, audit, tax and legal | ‡ n = 9 | ||||||
| Financial crime and client onboarding | ‡ n = 7 | ||||||
| Class of work | |||||||
| LOB Operational | 0.41 | 0.27 to 0.62 | 0.83 | 69.23% of 13 | 33.33% of 63 | 0.027 | 0.997 |
| Corporate Functional | 0.23 | 0.12 to 0.46 | 0.90 | 86.67% of 15 | 22.03% of 59 | < 0.001 | 1.000 |
| Engagement status and lifecycle stage | |||||||
| Active, Build-Out | a | ||||||
| Active, Transition/Cut-Over | a | ||||||
| Active, Production | a | ||||||
| Canceled | a |
Across the study set, higher ratings on the goodness view came with less cancellation (r = −0.59, 95% CI −0.69 to −0.48, Holm p < 0.001, n = 150 engagements). The association held after Holm correction in fourteen of the 20 segment levels tested.
Association with Customer Satisfaction
Customer satisfaction is the percentage recorded against each engagement. The primary estimate uses the 94 active engagements. A descriptive contrast uses all 150 engagements.
| Segment | Active engagements | Clean r | 95% CI | p | Holm p | Spearman rho | p |
|---|---|---|---|---|---|---|---|
| Study set | 94 | 0.74 | 0.64 to 0.82 | < 0.001 | < 0.001 | 0.74 | < 0.001 |
| Outsourcing model | |||||||
| CXM | 27 | 0.70 | † | < 0.001 | < 0.001 | 0.75 | < 0.001 |
| ITO | 25 | 0.75 | † | < 0.001 | < 0.001 | 0.77 | < 0.001 |
| BPO | 23 | 0.82 | † | < 0.001 | < 0.001 | 0.81 | < 0.001 |
| KPO | 19 | 0.81 | † | < 0.001 | < 0.001 | 0.81 | < 0.001 |
| Institution type | |||||||
| Asset management | 11 | 0.69 | † | 0.018 | 0.055 | 0.81 | 0.003 |
| Wealth management and private banking | 15 | 0.88 | † | < 0.001 | < 0.001 | 0.91 | < 0.001 |
| Investment banking (advisory and capital-markets origination) | 10 | 0.52 | † | 0.125 | 0.125 | 0.44 | 0.204 |
| Insurance (life, property and casualty, health) | 9 | ‡ | |||||
| Commercial and business banking | 9 | ‡ | |||||
| Payments and merchant acquiring (networks, acquiring, processing) | 10 | 0.76 | † | 0.011 | 0.045 | 0.63 | 0.049 |
| Credit card and payments issuing | 7 | ‡ | |||||
| Retail and consumer banking | 8 | ‡ | |||||
| Markets and trading (sales and trading, global markets) | 8 | ‡ | |||||
| Private equity and private capital | 7 | ‡ | |||||
| Process family | |||||||
| Corporate and back-office functions | 28 | 0.82 | † | < 0.001 | < 0.001 | 0.85 | < 0.001 |
| Technology engineering and operations | 25 | 0.66 | † | < 0.001 | 0.002 | 0.69 | < 0.001 |
| Client servicing and communications | 7 | ‡ | |||||
| Trade, settlement and reconciliation | 7 | ‡ | |||||
| Payments, cards and disputes | 10 | 0.67 | † | 0.035 | 0.070 | 0.64 | 0.047 |
| Credit, underwriting and suitability | 8 | ‡ | |||||
| Regulatory, audit, tax and legal | 5 | ‡ | |||||
| Financial crime and client onboarding | 4 | ‡ | |||||
| Class of work | |||||||
| LOB Operational | 46 | 0.76 | 0.61 to 0.86 | < 0.001 | < 0.001 | 0.73 | < 0.001 |
| Corporate Functional | 48 | 0.71 | 0.54 to 0.83 | < 0.001 | < 0.001 | 0.75 | < 0.001 |
| Engagement status and lifecycle stage | |||||||
| Active, Build-Out | 31 | 0.68 | 0.43 to 0.84 | < 0.001 | < 0.001 | 0.64 | < 0.001 |
| Active, Transition/Cut-Over | 43 | 0.80 | 0.66 to 0.89 | < 0.001 | < 0.001 | 0.78 | < 0.001 |
| Active, Production | 20 | 0.72 | † | < 0.001 | 0.002 | 0.66 | 0.001 |
| Canceled | 0 | a |
| Segment | Slope, points per rating point | 95% CI | R squared | TOST p | All engagements | Descriptive r | p |
|---|---|---|---|---|---|---|---|
| Study set | 5.13 | 4.17 to 6.09 | 0.55 | 1.000 | 150 | 0.73 | < 0.001 |
| Outsourcing model | |||||||
| CXM | 5.90 | † n = 27 | 0.49 | 0.997 | 42 | 0.81 | < 0.001 |
| ITO | 4.91 | † n = 25 | 0.56 | 0.999 | 40 | 0.60 | < 0.001 |
| BPO | 4.98 | † n = 23 | 0.67 | 1.000 | 37 | 0.81 | < 0.001 |
| KPO | 5.49 | † n = 19 | 0.66 | 1.000 | 31 | 0.70 | < 0.001 |
| Institution type | |||||||
| Asset management | 3.77 | † n = 11 | 0.48 | 0.937 | 24 | 0.75 | < 0.001 |
| Wealth management and private banking | 5.36 | † n = 15 | 0.78 | 1.000 | 23 | 0.77 | < 0.001 |
| Investment banking (advisory and capital-markets origination) | 5.35 | † n = 10 | 0.27 | 0.758 | 19 | 0.69 | 0.001 |
| Insurance (life, property and casualty, health) | ‡ n = 9 | ||||||
| Commercial and business banking | ‡ n = 9 | ||||||
| Payments and merchant acquiring (networks, acquiring, processing) | 6.15 | † n = 10 | 0.57 | 0.964 | 13 | 0.65 | 0.015 |
| Credit card and payments issuing | ‡ n = 7 | ||||||
| Retail and consumer banking | ‡ n = 8 | ||||||
| Markets and trading (sales and trading, global markets) | ‡ n = 8 | ||||||
| Private equity and private capital | ‡ n = 7 | ||||||
| Process family | |||||||
| Corporate and back-office functions | 5.79 | † n = 28 | 0.68 | 1.000 | 47 | 0.78 | < 0.001 |
| Technology engineering and operations | 5.12 | † n = 25 | 0.44 | 0.989 | 35 | 0.62 | < 0.001 |
| Client servicing and communications | ‡ n = 7 | ||||||
| Trade, settlement and reconciliation | ‡ n = 7 | ||||||
| Payments, cards and disputes | 3.78 | † n = 10 | 0.45 | 0.906 | 12 | 0.74 | 0.006 |
| Credit, underwriting and suitability | ‡ n = 8 | ||||||
| Regulatory, audit, tax and legal | ‡ n = 5 | ||||||
| Financial crime and client onboarding | ‡ n = 4 | ||||||
| Class of work | |||||||
| LOB Operational | 5.48 | 4.07 to 6.89 | 0.58 | 1.000 | 76 | 0.71 | < 0.001 |
| Corporate Functional | 4.67 | 3.31 to 6.03 | 0.51 | 1.000 | 74 | 0.76 | < 0.001 |
| Engagement status and lifecycle stage | |||||||
| Active, Build-Out | 3.96 | 2.35 to 5.56 | 0.47 | 0.997 | 31 | 0.68 | < 0.001 |
| Active, Transition/Cut-Over | 6.30 | 4.81 to 7.79 | 0.64 | 1.000 | 43 | 0.80 | < 0.001 |
| Active, Production | 4.68 | † | 0.51 | 0.993 | 20 | 0.72 | < 0.001 |
| Canceled | a |
Across the active engagements, higher ratings on the goodness view came with higher customer satisfaction (r = 0.74, 95% CI 0.64 to 0.82, Holm p < 0.001, n = 94 engagements). The association held after Holm correction in thirteen of the 16 segment levels tested.
Association with the Engagement Indicator Mean
The engagement indicator mean is the mean of an engagement's ratings across the rated indicators, measured at engagement level (150 engagements). The indicator does not enter the mean.
| Segment | Engagements | Leave-one-out r | 95% CI | p | Holm p | Spearman rho | p |
|---|---|---|---|---|---|---|---|
| Study set | 150 | 0.77 | 0.70 to 0.83 | < 0.001 | < 0.001 | 0.77 | < 0.001 |
| Outsourcing model | |||||||
| CXM | 42 | 0.78 | 0.63 to 0.88 | < 0.001 | < 0.001 | 0.79 | < 0.001 |
| ITO | 40 | 0.69 | 0.48 to 0.82 | < 0.001 | < 0.001 | 0.70 | < 0.001 |
| BPO | 37 | 0.87 | 0.76 to 0.93 | < 0.001 | < 0.001 | 0.84 | < 0.001 |
| KPO | 31 | 0.78 | 0.59 to 0.89 | < 0.001 | < 0.001 | 0.76 | < 0.001 |
| Institution type | |||||||
| Asset management | 24 | 0.77 | † | < 0.001 | < 0.001 | 0.70 | < 0.001 |
| Wealth management and private banking | 23 | 0.74 | † | < 0.001 | < 0.001 | 0.73 | < 0.001 |
| Investment banking (advisory and capital-markets origination) | 19 | 0.68 | † | 0.001 | 0.009 | 0.67 | 0.002 |
| Insurance (life, property and casualty, health) | 14 | 0.91 | † | < 0.001 | < 0.001 | 0.91 | < 0.001 |
| Commercial and business banking | 13 | 0.75 | † | 0.003 | 0.013 | 0.74 | 0.004 |
| Payments and merchant acquiring (networks, acquiring, processing) | 13 | 0.81 | † | < 0.001 | 0.006 | 0.80 | < 0.001 |
| Credit card and payments issuing | 12 | 0.85 | † | < 0.001 | 0.004 | 0.84 | < 0.001 |
| Retail and consumer banking | 12 | 0.65 | † | 0.023 | 0.046 | 0.69 | 0.013 |
| Markets and trading (sales and trading, global markets) | 11 | 0.94 | † | < 0.001 | < 0.001 | 0.82 | 0.002 |
| Private equity and private capital | 9 | ‡ | |||||
| Process family | |||||||
| Corporate and back-office functions | 47 | 0.83 | 0.72 to 0.90 | < 0.001 | < 0.001 | 0.83 | < 0.001 |
| Technology engineering and operations | 35 | 0.72 | 0.50 to 0.85 | < 0.001 | < 0.001 | 0.73 | < 0.001 |
| Client servicing and communications | 16 | 0.75 | † | < 0.001 | 0.006 | 0.64 | 0.007 |
| Trade, settlement and reconciliation | 15 | 0.74 | † | 0.002 | 0.009 | 0.64 | 0.010 |
| Payments, cards and disputes | 12 | 0.70 | † | 0.011 | 0.033 | 0.57 | 0.055 |
| Credit, underwriting and suitability | 9 | ‡ | |||||
| Regulatory, audit, tax and legal | 9 | ‡ | |||||
| Financial crime and client onboarding | 7 | ‡ | |||||
| Class of work | |||||||
| LOB Operational | 76 | 0.74 | 0.62 to 0.83 | < 0.001 | < 0.001 | 0.71 | < 0.001 |
| Corporate Functional | 74 | 0.81 | 0.71 to 0.87 | < 0.001 | < 0.001 | 0.81 | < 0.001 |
| Engagement status and lifecycle stage | |||||||
| Active, Build-Out | 31 | 0.70 | 0.46 to 0.85 | < 0.001 | < 0.001 | 0.64 | < 0.001 |
| Active, Transition/Cut-Over | 43 | 0.72 | 0.53 to 0.84 | < 0.001 | < 0.001 | 0.70 | < 0.001 |
| Active, Production | 20 | 0.71 | † | < 0.001 | 0.004 | 0.68 | 0.001 |
| Canceled | 56 | 0.25 | −0.01 to 0.49 | 0.058 | 0.058 | 0.23 | 0.085 |
| Segment | r with indicator included | Change in r | Slope | 95% CI | R squared | TOST p | Equivalent |
|---|---|---|---|---|---|---|---|
| Study set | Not a component | 0.61 | 0.53 to 0.69 | 0.60 | 1.000 | No | |
| Outsourcing model | |||||||
| CXM | Not a component | 0.65 | 0.48 to 0.82 | 0.61 | 1.000 | No | |
| ITO | Not a component | 0.58 | 0.38 to 0.78 | 0.47 | 0.999 | No | |
| BPO | Not a component | 0.55 | 0.45 to 0.66 | 0.76 | 1.000 | No | |
| KPO | Not a component | 0.66 | 0.46 to 0.86 | 0.61 | 1.000 | No | |
| Institution type | |||||||
| Asset management | Not a component | 0.61 | † n = 24 | 0.59 | 0.999 | No | |
| Wealth management and private banking | Not a component | 0.62 | † n = 23 | 0.55 | 0.998 | No | |
| Investment banking (advisory and capital-markets origination) | Not a component | 0.43 | † n = 19 | 0.46 | 0.980 | No | |
| Insurance (life, property and casualty, health) | Not a component | 0.83 | † n = 14 | 0.83 | 1.000 | No | |
| Commercial and business banking | Not a component | 0.69 | † n = 13 | 0.56 | 0.981 | No | |
| Payments and merchant acquiring (networks, acquiring, processing) | Not a component | 0.76 | † n = 13 | 0.65 | 0.995 | No | |
| Credit card and payments issuing | Not a component | 0.52 | † n = 12 | 0.73 | 0.998 | No | |
| Retail and consumer banking | Not a component | 0.54 | † n = 12 | 0.42 | 0.917 | No | |
| Markets and trading (sales and trading, global markets) | Not a component | 0.71 | † n = 11 | 0.88 | 1.000 | No | |
| Private equity and private capital | ‡ n = 9 | ||||||
| Process family | |||||||
| Corporate and back-office functions | Not a component | 0.64 | 0.51 to 0.76 | 0.69 | 1.000 | No | |
| Technology engineering and operations | Not a component | 0.67 | 0.44 to 0.91 | 0.51 | 1.000 | No | |
| Client servicing and communications | Not a component | 0.70 | † n = 16 | 0.57 | 0.992 | No | |
| Trade, settlement and reconciliation | Not a component | 0.52 | † n = 15 | 0.55 | 0.987 | No | |
| Payments, cards and disputes | Not a component | 0.42 | † n = 12 | 0.49 | 0.953 | No | |
| Credit, underwriting and suitability | ‡ n = 9 | ||||||
| Regulatory, audit, tax and legal | ‡ n = 9 | ||||||
| Financial crime and client onboarding | ‡ n = 7 | ||||||
| Class of work | |||||||
| LOB Operational | Not a component | 0.58 | 0.46 to 0.70 | 0.55 | 1.000 | No | |
| Corporate Functional | Not a component | 0.63 | 0.53 to 0.74 | 0.65 | 1.000 | No | |
| Engagement status and lifecycle stage | |||||||
| Active, Build-Out | Not a component | 0.45 | 0.27 to 0.62 | 0.49 | 0.999 | No | |
| Active, Transition/Cut-Over | Not a component | 0.54 | 0.37 to 0.70 | 0.51 | 1.000 | No | |
| Active, Production | Not a component | 0.55 | † n = 20 | 0.50 | 0.991 | No | |
| Canceled | Not a component | 0.13 | 0.00 to 0.27 | 0.06 | 0.360 | No |
Higher ratings on the goodness view came with a higher engagement indicator mean (r = 0.77, 95% CI 0.70 to 0.83, Holm p < 0.001, n = 150 engagements). The association held after Holm correction in twenty-three of the 24 segment levels tested.
Association with Intent to Leave
Intent to leave is the answer to C019, “How likely are you to leave your current job in the next 12 months?”, rated 1 to 10. It is measured at respondent level on up to 798 respondents, with the engagement-level form reported alongside.
| Segment | Respondents | r | 95% CI | Cluster bootstrap 95% CI | p | Holm p |
|---|---|---|---|---|---|---|
| Study set | 754 | −0.76 | −0.79 to −0.73 | −0.81 to −0.71 | < 0.001 | < 0.001 |
| Outsourcing model | ||||||
| CXM | 199 | −0.77 | −0.82 to −0.70 | −0.84 to −0.66 | < 0.001 | < 0.001 |
| ITO | 224 | −0.70 | −0.76 to −0.62 | −0.80 to −0.54 | < 0.001 | < 0.001 |
| BPO | 188 | −0.85 | −0.88 to −0.80 | −0.90 to −0.77 | < 0.001 | < 0.001 |
| KPO | 143 | −0.72 | −0.79 to −0.63 | −0.84 to −0.55 | < 0.001 | < 0.001 |
| Institution type | ||||||
| Asset management | 117 | −0.79 | −0.85 to −0.72 | −0.88 to −0.60 | < 0.001 | < 0.001 |
| Wealth management and private banking | 121 | −0.76 | −0.83 to −0.68 | −0.85 to −0.63 | < 0.001 | < 0.001 |
| Investment banking (advisory and capital-markets origination) | 95 | −0.62 | −0.73 to −0.48 | −0.83 to −0.36 | < 0.001 | < 0.001 |
| Insurance (life, property and casualty, health) | 65 | −0.79 | −0.87 to −0.68 | −0.89 to −0.63 | < 0.001 | < 0.001 |
| Commercial and business banking | 72 | −0.63 | −0.75 to −0.46 | −0.78 to −0.36 | < 0.001 | < 0.001 |
| Payments and merchant acquiring (networks, acquiring, processing) | 68 | −0.79 | −0.86 to −0.68 | −0.89 to −0.60 | < 0.001 | < 0.001 |
| Credit card and payments issuing | 65 | −0.85 | −0.91 to −0.77 | −0.91 to −0.72 | < 0.001 | < 0.001 |
| Retail and consumer banking | 63 | −0.71 | −0.81 to −0.56 | −0.85 to −0.41 | < 0.001 | < 0.001 |
| Markets and trading (sales and trading, global markets) | 52 | −0.84 | −0.91 to −0.74 | −0.92 to −0.69 | < 0.001 | < 0.001 |
| Private equity and private capital | 36 | −0.88 | −0.94 to −0.78 | § n = 9 | < 0.001 | < 0.001 |
| Process family | ||||||
| Corporate and back-office functions | 212 | −0.78 | −0.83 to −0.73 | −0.86 to −0.68 | < 0.001 | < 0.001 |
| Technology engineering and operations | 187 | −0.71 | −0.77 to −0.63 | −0.80 to −0.56 | < 0.001 | < 0.001 |
| Client servicing and communications | 79 | −0.66 | −0.77 to −0.51 | −0.83 to −0.31 | < 0.001 | < 0.001 |
| Trade, settlement and reconciliation | 74 | −0.84 | −0.90 to −0.75 | −0.90 to −0.69 | < 0.001 | < 0.001 |
| Payments, cards and disputes | 64 | −0.86 | −0.91 to −0.78 | −0.90 to −0.75 | < 0.001 | < 0.001 |
| Credit, underwriting and suitability | 50 | −0.83 | −0.90 to −0.72 | § n = 9 | < 0.001 | < 0.001 |
| Regulatory, audit, tax and legal | 47 | −0.65 | −0.79 to −0.44 | § n = 9 | < 0.001 | < 0.001 |
| Financial crime and client onboarding | 41 | −0.75 | −0.86 to −0.58 | § n = 7 | < 0.001 | < 0.001 |
| Class of work | ||||||
| LOB Operational | 397 | −0.76 | −0.80 to −0.71 | −0.82 to −0.68 | < 0.001 | < 0.001 |
| Corporate Functional | 357 | −0.78 | −0.81 to −0.73 | −0.84 to −0.69 | < 0.001 | < 0.001 |
| Engagement status and lifecycle stage | ||||||
| Active, Build-Out | 156 | −0.82 | −0.87 to −0.76 | −0.87 to −0.74 | < 0.001 | < 0.001 |
| Active, Transition/Cut-Over | 226 | −0.82 | −0.86 to −0.77 | −0.87 to −0.74 | < 0.001 | < 0.001 |
| Active, Production | 89 | −0.84 | −0.89 to −0.76 | −0.90 to −0.70 | < 0.001 | < 0.001 |
| Canceled | 283 | −0.25 | −0.35 to −0.13 | −0.35 to −0.14 | < 0.001 | < 0.001 |
| Respondent role | ||||||
| Individual Contributor | 572 | −0.77 | −0.80 to −0.74 | −0.82 to −0.72 | < 0.001 | < 0.001 |
| Engagement Manager | 150 | −0.76 | −0.82 to −0.68 | −0.83 to −0.68 | < 0.001 | < 0.001 |
| Portfolio Director | 31 | −0.65 | −0.82 to −0.38 | −0.85 to −0.36 | < 0.001 | < 0.001 |
| Customer Management Executive | 1 | ‡ | ||||
| Vendor type | ||||||
| IT services major | 289 | −0.75 | −0.80 to −0.70 | −0.82 to −0.66 | < 0.001 | < 0.001 |
| BPO specialist | 171 | −0.78 | −0.83 to −0.72 | −0.87 to −0.65 | < 0.001 | < 0.001 |
| Consulting firm | 102 | −0.73 | −0.81 to −0.63 | −0.86 to −0.53 | < 0.001 | < 0.001 |
| Boutique or specialist provider | 75 | −0.80 | −0.87 to −0.70 | −0.89 to −0.61 | < 0.001 | < 0.001 |
| Pure-play agentic AI firm | 67 | −0.79 | −0.87 to −0.68 | −0.90 to −0.60 | < 0.001 | < 0.001 |
| Not reported, recovered by engagement | 50 | −0.69 | −0.81 to −0.51 | −0.87 to −0.45 | < 0.001 | < 0.001 |
| Segment | Spearman rho | p | Share at 7 or above, distressed | Share at 7 or above, other | Engagements | Engagement level r | 95% CI | TOST p |
|---|---|---|---|---|---|---|---|---|
| Study set | −0.74 | < 0.001 | 97.55% of 204 | 38.00% of 550 | 150 | −0.88 | −0.91 to −0.84 | 1.000 |
| Outsourcing model | ||||||||
| CXM | −0.75 | < 0.001 | 96.08% of 51 | 27.03% of 148 | 42 | −0.90 | −0.94 to −0.81 | 1.000 |
| ITO | −0.64 | < 0.001 | 96.67% of 60 | 46.95% of 164 | 40 | −0.85 | −0.92 to −0.74 | 1.000 |
| BPO | −0.85 | < 0.001 | 100.00% of 52 | 37.50% of 136 | 37 | −0.94 | −0.97 to −0.89 | 1.000 |
| KPO | −0.68 | < 0.001 | 97.56% of 41 | 40.20% of 102 | 31 | −0.81 | −0.91 to −0.64 | 1.000 |
| Institution type | ||||||||
| Asset management | −0.74 | < 0.001 | 97.14% of 35 | 52.44% of 82 | 24 | −0.88 | † | 1.000 |
| Wealth management and private banking | −0.75 | < 0.001 | 95.83% of 24 | 36.08% of 97 | 23 | −0.89 | † | 1.000 |
| Investment banking (advisory and capital-markets origination) | −0.61 | < 0.001 | 100.00% of 41 | 42.59% of 54 | 19 | −0.76 | † | 0.997 |
| Insurance (life, property and casualty, health) | −0.78 | < 0.001 | 95.24% of 21 | 34.09% of 44 | 14 | −0.90 | † | 1.000 |
| Commercial and business banking | −0.63 | < 0.001 | 92.31% of 13 | 35.59% of 59 | 13 | −0.82 | † | 0.996 |
| Payments and merchant acquiring (networks, acquiring, processing) | −0.77 | < 0.001 | 91.67% of 12 | 42.86% of 56 | 13 | −0.94 | † | 1.000 |
| Credit card and payments issuing | −0.85 | < 0.001 | 100.00% of 18 | 36.17% of 47 | 12 | −0.96 | † | 1.000 |
| Retail and consumer banking | −0.69 | < 0.001 | ‡ n = 9 | 31.48% of 54 | 12 | −0.84 | † | 0.996 |
| Markets and trading (sales and trading, global markets) | −0.82 | < 0.001 | 100.00% of 18 | 17.65% of 34 | 11 | −0.95 | † | 1.000 |
| Private equity and private capital | −0.83 | < 0.001 | 100.00% of 13 | 34.78% of 23 | 9 | ‡ | ‡ | |
| Process family | ||||||||
| Corporate and back-office functions | −0.77 | < 0.001 | 98.44% of 64 | 37.84% of 148 | 47 | −0.87 | −0.93 to −0.78 | 1.000 |
| Technology engineering and operations | −0.69 | < 0.001 | 97.06% of 34 | 38.56% of 153 | 35 | −0.86 | −0.93 to −0.74 | 1.000 |
| Client servicing and communications | −0.55 | < 0.001 | 92.31% of 26 | 50.94% of 53 | 16 | −0.83 | † | 0.999 |
| Trade, settlement and reconciliation | −0.84 | < 0.001 | 100.00% of 24 | 54.00% of 50 | 15 | −0.94 | † | 1.000 |
| Payments, cards and disputes | −0.86 | < 0.001 | 100.00% of 12 | 15.38% of 52 | 12 | −0.97 | † | 1.000 |
| Credit, underwriting and suitability | −0.83 | < 0.001 | 92.31% of 13 | 21.62% of 37 | 9 | ‡ | ‡ | |
| Regulatory, audit, tax and legal | −0.58 | < 0.001 | 100.00% of 16 | 41.94% of 31 | 9 | ‡ | ‡ | |
| Financial crime and client onboarding | −0.74 | < 0.001 | 100.00% of 15 | 42.31% of 26 | 7 | ‡ | ‡ | |
| Class of work | ||||||||
| LOB Operational | −0.73 | < 0.001 | 98.23% of 113 | 38.73% of 284 | 76 | −0.88 | −0.92 to −0.82 | 1.000 |
| Corporate Functional | −0.75 | < 0.001 | 96.70% of 91 | 37.22% of 266 | 74 | −0.89 | −0.93 to −0.82 | 1.000 |
| Engagement status and lifecycle stage | ||||||||
| Active, Build-Out | −0.82 | < 0.001 | 87.50% of 16 | 18.57% of 140 | 31 | −0.95 | −0.97 to −0.89 | 1.000 |
| Active, Transition/Cut-Over | −0.79 | < 0.001 | 91.89% of 37 | 16.93% of 189 | 43 | −0.95 | −0.97 to −0.90 | 1.000 |
| Active, Production | −0.82 | < 0.001 | ‡ n = 7 | 14.63% of 82 | 20 | −0.97 | † | 1.000 |
| Canceled | −0.25 | < 0.001 | 100.00% of 144 | 100.00% of 139 | 56 | −0.41 | −0.61 to −0.16 | 0.814 |
| Respondent role | ||||||||
| Individual Contributor | −0.75 | < 0.001 | 96.93% of 163 | 39.61% of 409 | 150 | −0.88 | −0.91 to −0.83 | 1.000 |
| Engagement Manager | −0.73 | < 0.001 | 100.00% of 40 | 31.82% of 110 | 150 | −0.76 | −0.82 to −0.68 | 1.000 |
| Portfolio Director | −0.65 | < 0.001 | ‡ n = 1 | 40.00% of 30 | 31 | −0.65 | −0.82 to −0.38 | 0.993 |
| Customer Management Executive | ‡ n = 1 | |||||||
| Vendor type | ||||||||
| IT services major | −0.72 | < 0.001 | 98.36% of 61 | 41.67% of 228 | 59 | −0.89 | −0.94 to −0.83 | 1.000 |
| BPO specialist | −0.77 | < 0.001 | 98.39% of 62 | 37.61% of 109 | 37 | −0.89 | −0.94 to −0.79 | 1.000 |
| Consulting firm | −0.72 | < 0.001 | 96.15% of 26 | 32.89% of 76 | 23 | −0.82 | † | 1.000 |
| Boutique or specialist provider | −0.78 | < 0.001 | 100.00% of 21 | 38.89% of 54 | 17 | −0.91 | † | 1.000 |
| Pure-play agentic AI firm | −0.79 | < 0.001 | 94.44% of 18 | 28.57% of 49 | 14 | −0.91 | † | 1.000 |
| Not reported, recovered by engagement | −0.69 | < 0.001 | 93.75% of 16 | 38.24% of 34 | 41 | −0.70 | −0.83 to −0.51 | 1.000 |
Respondents who gave higher ratings reported lower intent to leave (r = −0.76, 95% CI −0.79 to −0.73, Holm p < 0.001, n = 754 respondents). The association held after Holm correction in thirty-seven of the 37 segment levels tested.
Comparison of Associations Across the Four Measures
| Measure | Form | Unit | n | r | 95% CI | p | Equivalent to zero | Rank among the four |
|---|---|---|---|---|---|---|---|---|
| Cancellation rate | Descriptive contrast | Engagement | 150 | −0.59 | −0.69 to −0.48 | < 0.001 | No | 4 |
| Customer satisfaction | Clean estimate | Engagement | 94 | 0.74 | 0.64 to 0.82 | < 0.001 | No | 3 |
| Engagement indicator mean | Full | Engagement | 150 | 0.77 | 0.70 to 0.83 | < 0.001 | No | 1 |
| Intent to leave | Respondent level, clustered | Respondent | 754 | −0.76 | −0.81 to −0.71 | < 0.001 | No | 2 |
| Pair compared | Difference in r | Steiger z | p | Holm p | Reading |
|---|---|---|---|---|---|
| Cancellation rate and customer satisfaction | −0.14 | −6.69 | < 0.001 | < 0.001 | Differed |
| Cancellation rate and engagement indicator mean | −0.18 | −4.33 | < 0.001 | < 0.001 | Differed |
| Cancellation rate and intent to leave | −0.29 | −9.99 | < 0.001 | < 0.001 | Differed |
| Customer satisfaction and engagement indicator mean | −0.04 | −1.36 | 0.175 | 0.175 | Did not differ |
| Customer satisfaction and intent to leave | −0.15 | −7.69 | < 0.001 | < 0.001 | Differed |
| Engagement indicator mean and intent to leave | −0.11 | −4.97 | < 0.001 | < 0.001 | Differed |
The four associations were compared in pairs on their engagement-level forms, each oriented so that a higher value is the better outcome, across the 150 engagements with all four measures. After Holm correction, five of the six pairs differed. The association with the engagement indicator mean was the strongest and the association with cancellation the weakest. The associations with customer satisfaction and the engagement indicator mean did not differ (Holm p = 0.175).
Clustering and Effective Sample Size
| Statistic | Value | Reading |
|---|---|---|
| Clusters (engagements) | 150 | Engagements with one or more answers. |
| Mean respondents per engagement | 5.3 | Answers per engagement, among engagements with one or more answers. |
| ICC(1) | 0.63 | Share of the variance that lies between engagements. |
| Design effect | 3.75 | One plus the product of the ICC and the mean cluster size less one. |
| Nominal respondent n | 801 | Respondents who answered. |
| Effective n | 214 | Nominal n divided by the design effect. |
| Cluster bootstrap applied | Yes | Applied to every respondent-level interval where the ICC is 0.05 or above. |
Answers clustered within engagements (ICC 0.63). Clustering reduced the 801 respondent answers to the equivalent of about 214 independent answers. Respondent-level intervals therefore used the cluster bootstrap. Respondent-level tests of intent to leave used standard errors that allow for clustering by engagement.
Equivalence Tests of Null Results
| Measure | n | r | Equivalence bound | TOST p, lower | TOST p, upper | Equivalent to zero | Achieved power | MDE at power 0.80 | Detection floor for this n |
|---|---|---|---|---|---|---|---|---|---|
| Cancellation rate | 150 | −0.59 | |r| < 0.30 | 1.000 | < 0.001 | No | 0.96 | 0.23 | 0.23 |
| Customer satisfaction | 94 | 0.74 | |r| < 0.30 | < 0.001 | 1.000 | No | 0.84 | 0.29 | 0.23 |
| Engagement indicator mean | 150 | 0.77 | |r| < 0.30 | < 0.001 | 1.000 | No | 0.96 | 0.23 | 0.23 |
| Intent to leave | 754, effective 200 | −0.76 | |r| < 0.30 | 1.000 | < 0.001 | No | 0.99 | 0.20 | 0.23 |
No association was equivalent to zero. Each of the four differed from zero. The detection floor shown is the study floor at 150 engagements. Intent to leave was tested on its effective sample size.
Robustness Checks
| Check | Measure | Primary r | Check r | 95% CI | Change | Conclusion holds |
|---|---|---|---|---|---|---|
| Rank correlation in place of Pearson | Cancellation rate | −0.59 | −0.61 | a | −0.02 | Yes |
| Rank correlation in place of Pearson | Customer satisfaction | 0.74 | 0.74 | a | 0.00 | Yes |
| Rank correlation in place of Pearson | Engagement indicator mean | 0.77 | 0.77 | a | −0.01 | Yes |
| Rank correlation in place of Pearson | Intent to leave | −0.76 | −0.74 | a | 0.02 | Yes |
| Non-answers excluded, then imputed at the engagement mean | Intent to leave | −0.76 | −0.77 | a | 0.00 | Yes |
| Active engagements only | Engagement indicator mean | 0.77 | 0.70 | 0.58 to 0.79 | −0.07 | Yes |
| Active engagements only | Intent to leave | −0.76 | −0.82 | −0.85 to −0.79 | −0.06 | Yes |
| Most influential engagement removed (largest Cook's distance) | Cancellation rate | −0.59 | −0.61 | −0.70 to −0.49 | −0.01 | Yes |
| Most influential engagement removed (largest Cook's distance) | Customer satisfaction | 0.74 | 0.77 | 0.67 to 0.84 | 0.02 | Yes |
| Most influential engagement removed (largest Cook's distance) | Engagement indicator mean | 0.77 | 0.78 | 0.71 to 0.84 | 0.01 | Yes |
| Most influential engagement removed (largest Cook's distance) | Intent to leave | −0.76 | −0.77 | −0.80 to −0.74 | 0.00 | Yes |
| Engagements weighted by respondent count | Cancellation rate | −0.59 | −0.59 | a | 0.00 | Yes |
| Engagements weighted by respondent count | Customer satisfaction | 0.74 | 0.73 | a | −0.01 | Yes |
| Engagements weighted by respondent count | Engagement indicator mean | 0.77 | 0.76 | a | −0.01 | Yes |
| Bootstrap of engagements | Cancellation rate | −0.59 | −0.59 | −0.68 to −0.50 | 0.00 | Yes |
| Bootstrap of engagements | Customer satisfaction | 0.74 | 0.74 | 0.65 to 0.82 | 0.00 | Yes |
| Bootstrap of engagements | Engagement indicator mean | 0.77 | 0.77 | 0.71 to 0.83 | 0.00 | Yes |
| Bootstrap of engagements | Intent to leave | −0.76 | −0.76 | −0.81 to −0.71 | 0.00 | Yes |
| Thin-base segments removed | Cancellation rate | −0.59 | −0.57 | −0.70 to −0.40 | 0.03 | Yes |
| Thin-base segments removed | Customer satisfaction | 0.74 | 0.73 | 0.58 to 0.84 | −0.01 | Yes |
| Thin-base segments removed | Engagement indicator mean | 0.77 | 0.79 | 0.69 to 0.86 | 0.02 | Yes |
| Thin-base segments removed | Intent to leave | −0.76 | −0.76 | −0.79 to −0.71 | 0.01 | Yes |
Each change was computed before rounding and may differ by 0.01 from the difference between the two printed values.
All 22 checks held. A check holds when its test falls on the same side of 0.05 as the primary test. Where the primary test falls below 0.05, the check must also keep the sign of the primary correlation. The thin-base check removes the engagements in any level of outsourcing model or process family with fewer than 30 engagements. Institution type is not used for that check, because every one of its levels has fewer than 30 engagements.
Measure Independence and Part-Whole Correction
Each of the four measures was computed from data the indicator does not contain. Each result is therefore a finding and not an arithmetic consequence.
Comparison with the Study Norm
| Measure | The indicator, oriented r | Study median, oriented r | Deviation | Fisher z | p | Holm p |
|---|---|---|---|---|---|---|
| Cancellation rate | 0.59 | 0.60 | 0.00 | −0.09 | 0.930 | 1.000 |
| Customer satisfaction | 0.73 | 0.72 | 0.01 | 0.37 | 0.711 | 1.000 |
| Engagement indicator mean | 0.77 | 0.84 | −0.06 | −2.24 | 0.025 | 0.075 |
| Intent to leave | 0.89 | 0.71 | 0.17 | 6.22 | < 0.001 | < 0.001 |
| Spread of deviations | 0.24 | |||||
| Verdict | Divergent |
Each deviation was computed before rounding and may differ by 0.01 from the difference between the two printed values.
The comparison covered 150 engagements. The indicator departed from the study's typical pattern on intent to leave. Its association was stronger than the norm on intent to leave.
Interpretation of the Data
Just over a quarter of all ratings of whether the respondent is more likely to seek a new job than five years earlier fell in the distressed range on the goodness view (216 of 801 answers, 26.97%). The rating was associated with all four study measures, and every association held under each of the 22 robustness checks. Canceled engagements rated well below the three active stages (mean 3.6 on the goodness view, n = 302 respondents).
No respondent wrote about seeking a new job compared with five years earlier. The evidence for the indicator is therefore the rating alone, and the reasons behind it are not recorded.
Limitations
The evidence is the reported experience of the vendor's delivery teams, collected in a single cross-section. The associations reported here are not causal.
Tests by respondent role and by vendor type treated respondents as independent. The section on clustering reports how far clustering within engagements reduced the information in respondent-level figures.
Customer management executives gave 1 answers, a base of anecdote strength.
No written response addressed the indicator.
Definitions
| Term | Definition |
|---|---|
| Response scale | Respondents rated the question from 1 to 10. A higher raw rating is the worse outcome. Every rating is read on the goodness view, the reversed scale on which a higher figure is the better outcome. |
| Distressed | A rating of 3 or below on the goodness view, the answers nearest the worse outcome. At engagement level, an engagement mean of 3 or below on the goodness view. |
| Answering base | Respondents who gave a rating from 1 to 10. |
| Non-answers | “I do not know” and “I prefer to not answer” are counted separately and excluded from the mean. |
| Indicator class | Respondent level: a value recorded for each respondent and computed across the respondents who answered. |
| Failure category | The five failure categories of the Study Taxonomy apply only to the rated indicators. The indicator is not a rated indicator and carries none. |
| Engagement indicator mean | The mean of an engagement's ratings across the rated indicators. The indicator does not enter it. |
| Cluster bootstrap | An interval computed by resampling engagements rather than responses, so that the responses from one engagement stay together. |
Sources and Provenance
| Source | Value |
|---|---|
| Study data | Study Data.xlsx, Data sheet, column C023, sha256 219eba0457274d04 |
| Statistics engine | compute_statistics.py, sha256 738319eef764602b |
| Statistics record | Computed Statistics.json, record C023, sha256 1ae50a3637fc9370 |
| Computed | October 13, 2026, 04:57 UTC |
| Template | Indicator Template v2, version 2.0 of 10 October 2026 |
| Figures placed by script | 2,751 |
