Study Data · Part 4 · Indicator Deep-Dive Analysis

Years of experience by reported intent to leave: C007 by C019

Indicator ANALYSIS:experience_by_intent_to_leave · By Phil Hatch · Akholi · October 9, 2026

Indicator Specification

Table 1. Indicator specificationTable
FieldValue
Indicator codeNone, a derived analysis
Question as askedYears of experience by reported intent to leave: C007 by C019
Failure categoryNot one of the 100 rated indicators
Place in the surveyNot a survey item
Indicator classDerived from other indicators
Indicator typeDerived analysis
Response scaleNot applicable, a derived analysis
Answering baseAs stated in Analysis Results
Non-answersNot applicable

Summary of Findings

Respondents likely to leave their job, those who answered C019 at seven or above, reported fewer years of career experience (C007) than respondents not likely to leave: a mean of 3.77 years (n = 409 respondents) against 4.44 years (n = 337 respondents). The difference, −0.66 years, reached significance by Welch's test (t = −2.04, p = 0.041) and with standard errors clustered by engagement (t = −2.64, df = 149, p = 0.009, 150 engagements). The effect is small (Cohen's d = −0.15). Across the 746 respondents with both answers, years of experience correlated with intent to leave at r = −0.09 (p = 0.002, clustered by engagement).

Analysis Results

The first table gives the base, the rule and the two groups. The second gives the tests of the difference and of the correlation.

Table 2. Analysis resultsTable
ResultValue
Unit of analysisRespondent
Respondents with both answers746
Likely to leave, respondents409
Likely to leave, mean years (SD)3.77 (4.16)
Likely to leave, median and range2.0, 0.0 to 20.0
Not likely to leave, respondents337
Not likely to leave, mean years (SD)4.44 (4.62)
Not likely to leave, median and range3.0, 0.0 to 25.0
Table 3. Tests of the difference and of the correlationTable
TestEstimateStandard errortdfpnEngagements
Difference in mean years, Welch's test−0.66−2.040.041746
Effect size, Cohen's d−0.15
Difference, clustered by engagement, as r−0.080.03−2.641490.009746150
Years with C019, clustered by engagement, r−0.090.03−3.131490.002746150

Distribution of Responses

The distribution of years of experience is reported in the file of C007, and the distribution of intent to leave in the file of C019. In both groups the median lay below the mean (2.0 against 3.77 years among respondents likely to leave, 3.0 against 4.44 among the others), so a minority with long careers raised each mean.

Descriptive Statistics by Segment

The analysis compared the two groups as a whole and was not broken down by segment.

Tests of Difference Between Segments

No test of difference between segments was computed for this analysis. The only comparison is between respondents likely and not likely to leave.

Association with Cancellation Rate

Cancellation was not part of this analysis.

Association with Customer Satisfaction

Customer satisfaction was not part of this analysis.

Association with the Engagement Indicator Mean

The engagement indicator mean was not part of this analysis.

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. The analysis splits respondents at seven or above, the study's definition of likely to leave, and also correlates the full rating with years of experience. Both forms gave the same direction: fewer years of experience came with higher intent to leave.

Comparison of Associations Across the Four Measures

The analysis concerns intent to leave alone, so no comparison across the four measures applies.

Clustering and Effective Sample Size

Respondents on the same engagement share conditions, so the tests were repeated with standard errors clustered by engagement across 150 engagements. The clustered test of the difference gave p = 0.009 and the clustered correlation p = 0.002.

Equivalence Tests of Null Results

No equivalence test was computed, because both tests found a difference from zero.

Robustness Checks

The difference was tested two ways, by Welch's test treating respondents as independent and by a regression with standard errors clustered by engagement. Both reached significance. No other robustness checks were computed.

Measure Independence and Part-Whole Correction

Years of experience and intent to leave are separate questions, and neither enters the other. No part-whole correction applies.

Comparison with the Study Norm

A derived analysis has no profile against the study norm, so no comparison applies.

Interpretation of the Data

Respondents likely to leave had somewhat shorter careers than the others, a difference of under a year on means of about four years, and the association, though it held when clustered by engagement, is small. Years of experience track respondent role closely, as the file of C007 reports, so the difference cannot be separated from role here.

Limitations

The evidence is the reported experience of the vendor's delivery teams, collected in a single cross-section. The association reported here is not causal.

Years of experience are the respondent's report. A report of zero means under one year, so the shortest careers are all recorded as zero.

Definitions

Table 4. DefinitionsTable
TermDefinition
Likely to leaveA respondent who answered C019 at seven or above.
Years of experienceThe answer to C007, years of career experience, where zero means under one year.
Cohen's dThe difference in means divided by the pooled standard deviation.
Clustered by engagementA test whose standard error allows for the answers of respondents on the same engagement to be alike.

Sources and Provenance

Table 5. Sources and provenanceTable
SourceValue
Study dataStudy Data.xlsx, sha256 219eba0457274d04
Statistics enginecompute_statistics.py, sha256 738319eef764602b
Statistics recordComputed Statistics.json, record ANALYSIS:experience_by_intent_to_leave, sha256 1ae50a3637fc9370
ComputedOctober 13, 2026, 04:57 UTC
TemplateIndicator Template v2, version 2.0 of 10 October 2026
Figures placed by script59

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

Read →
Part 2

The Five Failure Categories

Where failure concentrates, category by category

Read →
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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