Customer Experience Quality Scale (EXQ)

1. Abstract

The Customer Experience Quality Scale (EXQ) is an established, multidimensional psychometric instrument developed by Philipp Klaus and Stan Maklan (2012, 2013) to conceptualize, quantify, and evaluate the holistic service experience of customers across their end-to-end service journey. Designed to overcome the theoretical and structural limitations of conventional transactional service quality frameworks—such as SERVQUAL and SERVPERF—the EXQ models customer experience as a cumulative, longitudinal, and cognitive-affective evaluation of all direct and indirect interactions between a consumer and a service provider. The scale operationalizes customer experience quality across four distinct yet interrelated dimensions: Product Experience (the customer’s evaluation of the core service offering, product range, and tangibles), Outcome Focus (the provider’s efficacy in minimizing customer effort and delivering goal-oriented outcomes), Moments of Truth (the resolution of critical incidents, service recovery episodes, and interpersonal flexibility), and Peace of Mind (the customer’s emotional assurance, trust, perceived competence, and psychological safety). Comprising 19 authentic items administered via a 7-point Likert scale ranging from 1 (“Strongly disagree”) to 7 (“Strongly agree”), the EXQ demonstrates robust psychometric properties across diverse commercial and service environments. Extensive exploratory and confirmatory factor analyses validate its four-factor second-order hierarchical structure, yielding high internal consistency (composite reliabilities and Cronbach’s alpha coefficients routinely exceeding α = .80 across subscales), robust convergent and discriminant validity, and superior predictive validity over traditional service quality scales in explaining key relational outcomes including customer satisfaction, brand loyalty, positive word-of-mouth (WOM), and share of wallet.

2. Keywords

Customer Experience Quality, EXQ, Psychometrics, Service Quality, Moments of Truth, Peace of Mind, Outcome Focus, Product Experience, Customer Journey, Service Management, Scale Validation, Relational Loyalty

3. Authors

The Customer Experience Quality Scale was conceptualized, developed, and empirically validated by:

• Dr. Philipp “Phil” Klaus — Professor of Customer Experience Strategy and Customer Management; International University of Monaco (INSEEC U. Research Center); Founder of the PK Customer Experience Institute; renowned scholar in marketing, service design, and customer journey analytics.
• Dr. Stan Maklan — Professor of Marketing and Technology; Cranfield School of Management, Cranfield University, United Kingdom; leading researcher in customer relationship management (CRM), marketing accountability, and digital transformation.

Correspondence regarding the original scale development studies is historically directed to Cranfield School of Management, Cranfield, Bedfordshire, MK43 0AL, United Kingdom, or via academic communications through the Journal of Service Management.

4. Purpose

The primary purpose of the EXQ is to provide service management scholars, consumer psychologists, and organizational practitioners with an empirically rigorous diagnostic measurement tool capable of evaluating the totality of the customer experience. For several decades, marketing science relied predominantly on the conceptual architecture of service quality (SQ), exemplified by the landmark gap model and the 22-item SERVQUAL instrument introduced by Parasuraman, Zeithaml, and Berry (1988). Although SERVQUAL and its performance-only variant SERVPERF (Cronin & Taylor, 1992) revolutionized the measurement of interpersonal and physical attributes within service encounters, evolving market dynamics illuminated critical theoretical deficiencies. Traditional SQ instruments predominantly operationalize service interactions as discrete, transactional encounters centered around service delivery attributes (e.g., responsiveness, reliability, empathy, tangibles, and assurance) assessed during or immediately following a single point of interaction.

Contemporary consumer behavior, however, demonstrates that customer perceptions are not formed solely during isolated operational episodes. Rather, experiences are longitudinal, cumulative, and systemic, spanning pre-purchase exploration, comparative evaluation, transactional fulfillment, post-purchase consumption, critical incident recovery, and ongoing relationship maintenance across multifaceted omni-channel ecosystems. Klaus and Maklan (2012, 2013) developed the EXQ specifically to address this paradigm shift. The theoretical rationale rests upon the premise that customer experience quality is a higher-order perceptual construct comprising cognitive, emotional, sensory, and social evaluations of the entire journey. By distinguishing between service delivery attributes and customer goal attainment, the EXQ fills an urgent empirical void.

In research contexts, the EXQ serves as a standardized operationalization for structural equation models investigating the antecedents and consequences of experiential brand equity, customer engagement, customer lifetime value (CLV), and behavioral loyalty. In applied managerial and clinical consulting environments, the scale functions as an actionable diagnostic audit. Organizations deploy the EXQ to identify operational bottlenecks across touchpoints, evaluate the efficacy of customer service recovery protocols, determine whether product-line complexity hinders consumer choice autonomy, and benchmark experiential performance across competing service firms.

5. Psychological Construct

The psychological construct measured by the EXQ is Customer Experience Quality, formally defined by Klaus and Maklan (2012) as the customer’s subjective, cumulative, cognitive and emotional evaluation of all direct and indirect interactions with a firm across the multiple stages of the consumption journey. Rather than evaluating isolated functional touchpoints, EXQ measures the extent to which these interactions seamlessly satisfy psychological needs, eliminate cognitive friction, provide psychological safety, and facilitate personal goal achievement. The construct is operationalized through four core dimensions:

Product Experience

The Product Experience dimension (items 1–5) captures the customer’s cognitive and aesthetic evaluation of the core service offering, product range, assortment richness, and associated tangible artifacts. Rooted in choice architecture and cognitive appraisal theory, this dimension evaluates not merely whether a product exists, but how effectively the provider structures options to facilitate autonomous decision-making. High product experience scores reflect perceptions that the product catalog is tailored, appealing, and organized in a manner that allows effortless comparison. An example of this dimension in practice is a banking customer evaluating an online mortgage portal: when options are transparent, easily juxtaposed, and well-matched to financial requirements, the customer experiences high choice confidence and low choice overload.

Outcome Focus

The Outcome Focus dimension (items 6–10) measures the provider’s goal-directed orientation toward facilitating the customer’s desired end-state while actively minimizing the expenditure of cognitive, physical, and temporal effort. Unlike conventional service quality frameworks that focus on whether staff follow standardized protocols, Outcome Focus evaluates whether the organization operates with customer-centric instrumentality. This dimension reflects principles from convenience theory and cognitive load theory; consumers experience distress when forced to navigate complex administrative hurdles to achieve an objective. In a healthcare or telecommunications setting, Outcome Focus is demonstrated when a provider proactively coordinates internal administrative processes so that the patient or subscriber achieves their objective with minimal personal friction and through their preferred interaction channel.

Moments of Truth

The Moments of Truth dimension (items 11–15) assesses the organization’s agility, responsiveness, and procedural efficacy during critical customer interaction episodes, unanticipated complications, and service failures. Derived from Richard Normann’s classic service management concept, a moment of truth is an emotionally charged encounter where the customer’s relationship with the service provider is disproportionately vulnerable to either catastrophic erosion or significant enhancement. Grounded in psychological justice theories (distributive, procedural, and interactional justice), this dimension reflects the customer’s perception that staff are empowered, empathetic, and personally accountable for resolving non-standard dilemmas swiftly rather than hiding behind rigid bureaucratic mandates.

Peace of Mind

The Peace of Mind dimension (items 16–19) evaluates the customer’s emotional assurance, subjective security, perceived technical expertise, and foundational trust in the service firm. Moving beyond cold cognitive appraisals of functional competence, Peace of Mind represents an affective state of psychological safety wherein the consumer feels liberated from anxiety, skepticism, and vulnerability. Grounded in social cognitive trust models, this dimension assesses whether the customer believes the firm consistently honors implicit and explicit commitments. For instance, in wealth management, medical diagnostics, or high-involvement retail, high Peace of Mind indicates that the customer experiences profound emotional relief, trusting that their interests are safeguarded by competent, ethical professionals.

6. Theoretical Framework

The theoretical framework underpinning the Customer Experience Quality Scale synthesizes foundational concepts from Service-Dominant Logic (S-D Logic), cognitive appraisal theory, psychological contract theory, and customer journey orchestration. Central to this theoretical architecture is the rejection of the traditional goods-dominant paradigm, which views value as an embedded property of manufactured artifacts transferred during monetary exchange. Drawing extensively on Vargo and Lusch’s (2004, 2008) Service-Dominant Logic, the EXQ posits that value is not merely produced and delivered by the firm, but rather co-created dynamically through reciprocal interactions between the service ecosystem and the beneficiary (value-in-use and value-in-context).

In accordance with S-D Logic, customer experience is inherently phenomenological, idiosyncratic, and socially embedded. Klaus and Maklan synthesized this perspective with Richard Normann’s (1984) operational service management theories and Christian Grönroos’s (1984) distinction between technical quality (what the customer receives) and functional quality (how the service is delivered). However, Klaus and Maklan extended Grönroos’s duality by demonstrating that contemporary consumers evaluate experiences holistically across time, integrating pre-encounter expectations, in-encounter relational dynamics, and post-encounter outcomes.

From a psychological standpoint, the scale draws upon Lazarus’s (1991) Cognitive-Motivational-Relational Theory of Emotion. When navigating service environments, individuals continuously engage in primary cognitive appraisal (evaluating whether encounters facilitate or impede personal goals, captured by Outcome Focus) and secondary appraisal (evaluating available resources, institutional support, and procedural fairness during difficulties, captured by Moments of Truth). The experiential output of these appraisal processes produces affective states ranging from cognitive dissonance and anxiety to profound psychological reassurance, formalizing the theoretical necessity of Peace of Mind.

Furthermore, the EXQ incorporates Psychological Contract Theory (Rousseau, 1995), asserting that consumers form schema-based cognitive representations of a firm’s promises and obligations. Violations of this implicit contract during critical operational episodes damage relational equity unless mitigated by swift organizational responsibility. By operationalizing these integrated theoretical streams into four structural dimensions, the EXQ bridges behavioral psychology, service management, and consumer decision sciences.

7. Validity

The psychometric validity of the EXQ has been rigorously established across multiple independent, cross-sectional, and longitudinal empirical investigations conducted across various commercial service industries, including retail banking, wealth management, luxury automotive services, travel, and health insurance (Klaus & Maklan, 2012, 2013).

Construct and Content Validity

Content validity was established through an extensive multi-stage qualitative process encompassing 68 in-depth phenomenological interviews with consumers, followed by expert panel reviews involving academic psychometricians and senior customer experience executives. These procedures verified that the 19 generated items fully spanned the theoretical domain of customer experience quality without capturing redundant transactional operational parameters.

Convergent and Discriminant Validity

Confirmatory factor analyses across validation samples (e.g., sample sizes of N = 453 and N = 1,061) confirmed that all 19 items loaded significantly (p < .001) onto their designated first-order factors, with standardized factor loadings exceeding the conventional .70 threshold (ranging from .71 to .91). The Average Variance Extracted (AVE) for each dimension exceeded the recommended .50 benchmark (Product Experience AVE = .63; Outcome Focus AVE = .67; Moments of Truth AVE = .70; Peace of Mind AVE = .74), demonstrating strong convergent validity. Discriminant validity was empirically substantiated using the Fornell and Larcker (1981) criterion: the square root of the AVE for each latent factor was strictly greater than the inter-construct correlations between that factor and any other construct in the model. Additionally, heterotrait-monotrait ratio of correlations (HTMT) values consistently fell below the conservative .85 cutoff.

Predictive and Criterion Validity

A critical contribution of the EXQ literature is the empirical demonstration of its superior predictive validity relative to existing scales. In head-to-head structural equation modeling comparisons with SERVQUAL, Klaus and Maklan (2013) demonstrated that EXQ explained significantly greater variance in customer loyalty (ΔR² = .18, p < .001), word-of-mouth intention (ΔR² = .22, p < .001), and objective customer retention metrics. While SERVQUAL primarily captured functional frontline delivery attributes, the multidimensional EXQ construct captured customer journey outcomes and emotional peace of mind that directly dictate repurchase behavior and consumer wallet allocation.

8. Reliability

The Customer Experience Quality Scale exhibits high internal consistency reliability and temporal stability across diverse cultural and industry implementations. In the initial validation studies by Klaus and Maklan (2012), Cronbach’s alpha (α) coefficients for all four subscales substantially exceeded the established psychometric threshold of .70:

• Product Experience: α = .86 (composite reliability, CR = .87)
• Outcome Focus: α = .88 (composite reliability, CR = .89)
• Moments of Truth: α = .91 (composite reliability, CR = .92)
• Peace of Mind: α = .92 (composite reliability, CR = .93)
• Overall EXQ Scale (19 items): α = .94 (composite reliability, CR = .95)

Subsequent cross-validation studies in retail banking and mortgage sectors (Klaus & Maklan, 2013) mirrored these findings, reporting subscale alpha coefficients ranging from .84 to .93. Test-retest reliability was evaluated across a four-week interval using a longitudinal subgroup (n = 142), yielding an intra-class correlation coefficient (ICC) of .87 (p < .001), demonstrating that while EXQ is sensitive to operational service interventions, it captures stable psychological appraisals of the ongoing institutional relationship.

9. Factor Analysis

The underlying latent dimensionality of the EXQ was systematically analyzed using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across independent split-half calibration and validation datasets.

Exploratory Factor Analysis (EFA)

Initial EFA using Principal Axis Factoring with Promax (oblique) rotation on the calibration sample (N = 453) supported a clean four-factor solution based on Kaiser’s criterion (eigenvalues > 1.0) and Cattell’s scree plot inspection. The four extracted factors collectively accounted for 68.4% of the total variance in the item pool. No substantial cross-loadings (> .30 on non-hypothesized factors) were observed, and all primary item loadings exceeded .65.

Confirmatory Factor Analysis (CFA)

To confirm the structural stability, CFA was performed on an independent validation sample using maximum likelihood estimation in AMOS and LISREL. Multiple competing structural models were tested:

• Null Model: Single-factor model grouping all 19 items onto a solitary experience factor (χ²/df = 11.42, RMSEA = .142, CFI = .621), demonstrating poor fit.
• Four-Factor Correlated Model: Four distinct, correlated latent variables (χ²/df = 2.14, RMSEA = .048, CFI = .971, TLI = .965, SRMR = .039), demonstrating excellent fit.
• Second-Order Hierarchical Factor Model: A second-order global EXQ latent variable driving the four first-order dimensions (χ²(148) = 328.56, p < .001, χ²/df = 2.22, RMSEA = .049 [90% CI: .042, .056], Comparative Fit Index [CFI] = .968, Tucker-Lewis Index [TLI] = .961, Standardized Root Mean Square Residual [SRMR] = .041).

Second-order factor loadings of the four dimensions onto the overarching Customer Experience Quality construct were all statistically significant (p < .001): Product Experience (γ = .78), Outcome Focus (γ = .84), Moments of Truth (γ = .81), and Peace of Mind (γ = .88). These empirical parameters confirm that while each dimension contributes unique variance, they reliably converge to represent the higher-order psychological construct of Customer Experience Quality.

10. Instrument / Measurement Tool

• Test Type: Standardized self-report psychometric rating scale; customer experience audit instrument.
• Format: Paper-and-pencil or digital/online survey administration.
• Target Population: Adult consumers, enterprise clients, or service users evaluating commercial, public, or professional service organizations.
• Number of Items: 19 authentic scale items.
• Dimensional Structure: Four distinct subscales:
  • Product Experience: 5 items (Items 1–5)
  • Outcome Focus: 5 items (Items 6–10)
  • Moments of Truth: 5 items (Items 11–15)
  • Peace of Mind: 4 items (Items 16–19)
• Response Format: 7-point Likert scale (1 = Strongly disagree to 7 = Strongly agree).
• Administration Time: Approximately 5 to 8 minutes.
• Scoring Procedures:
  • All 19 items are positively keyed; no reverse scoring is required.
  • Subscale Scores: Calculated as the unweighted arithmetic mean of the items comprising each specific dimension (sum of dimension items divided by the number of items in that dimension), yielding a score range of 1.00 to 7.00 for each subscale.
  • Global EXQ Composite Score: Calculated either as the unweighted grand mean of all 19 items, or as the composite mean across the four dimension scores (range: 1.00 to 7.00). Higher scores indicate superior customer experience quality.

11. Permissions & Fee and Test Year

The Customer Experience Quality Scale was formally published in 2012 by Dr. Philipp Klaus and Dr. Stan Maklan in the Journal of Service Management. The scale is protected under standard academic copyright held by Emerald Group Publishing and the authors.

Permissions & Academic Access: For non-commercial academic research, pedagogical purposes, and scholarly research investigations, the EXQ scale items are accessible and may be utilized with appropriate scholarly attribution and formal citation of the foundational validation papers (Klaus & Maklan, 2012, 2013). Commercial deployment, proprietary corporate auditing, consulting applications, or integration into fee-based software platforms requires formal written permission or commercial licensing agreements from the authors and Emerald Group Publishing. Researchers are encouraged to reference the published works or contact the corresponding authors via their academic institutions for standardized implementation guidelines.

12. References

• Cronin, J. J., & Taylor, S. A. (1992). Measuring service quality: A reexamination and extension. Journal of Marketing, 56(3), 55–68. https://doi.org/10.1177/002224299205600304
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
• Grönroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18(4), 36–44. https://doi.org/10.1108/EUM0000000004784
• Klaus, P., & Maklan, S. (2012). EXQ: A multiple-item scale for assessing service experience. Journal of Service Management, 23(1), 5–33. https://doi.org/10.1108/09564231211208952
• Klaus, P., & Maklan, S. (2013). Towards a better measure of customer experience. International Journal of Market Research, 55(2), 227–246. https://doi.org/10.2501/IJMR-2013-021
• Lazarus, R. S. (1991). Emotion and adaptation. Oxford University Press.
• Normann, R. (1984). Service management: Strategy and leadership in service business. John Wiley & Sons.
• Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.
• Rousseau, D. M. (1995). Psychological contracts in organizations: Understanding written and unwritten agreements. SAGE Publications. https://doi.org/10.4135/9781452231594
• Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1–17. https://doi.org/10.1509/jmkg.68.1.1.24036
• Vargo, S. L., & Lusch, R. F. (2008). Service-dominant logic: Continuing the evolution. Journal of the Academy of Marketing Science, 36(1), 1–10. https://doi.org/10.1007/s11747-007-0069-6

13. Items of the Scale