Patrick Diogenia turns NPS criticism into a manager’s guide
A new working paper and companion guide from Patrick Diogenia argues that Net Promoter Score remains popular because it is simple and portable, even as its limits create risks for pay, strategy and customer decisions. The release also offers practical rules for using NPS, eNPS and survey tools without overreading noisy data.
Why it matters: - Net Promoter Score is one of management’s most widely used metrics, so its weaknesses can affect customer strategy, compensation and operating decisions. - Diogenia’s guide argues that managers should treat NPS as a directional signal, not proof of performance or a standalone measure of customer experience. - The paper also warns that poor survey design can make organizations optimize for the score instead of the underlying customer reality.
What happened: - Patrick Diogenia released a working paper, The Diffusion of a Contested Metric: Net Promoter Score as a Managerial Innovation, along with a companion guide, Net Promoter Score (NPS) Defined: Calculation, Survey Questions and eNPS. - The release is aimed at customer experience, marketing, operations and people leaders. - Diogenia says NPS spread because it was simple, visible and portable, even as debate over its validity continued. - The working paper and related materials are available on Diogenia’s website.
The details: - The guide explains that different response distributions can produce the same NPS. - Some surveys are sent before customers can reasonably judge the service experience. - Customers who abandon a journey may never be surveyed. - Scores can shift because of sampling, timing, channel or response bias, not only because customer experience changed. - Diogenia recommends keeping the underlying 0-to-10 distribution, sample size and response rate alongside the headline score. - The guide distinguishes relationship NPS from transactional NPS and says method changes should not be treated as performance gains. - Diogenia advises timing surveys for moments when customers can judge the outcome and accounting for failed or abandoned journeys. - He recommends pairing NPS with qualitative comments, behavioral data, operational evidence, complaints, retention and service outcomes. - The guide says NPS should not be tied to individual pay or employment consequences when frontline employees influence the score but do not fully control it. - On eNPS, Diogenia describes the metric as a useful pulse but not enough on its own to measure engagement. - He recommends combining eNPS with workload, role clarity, psychological safety, manager behavior, fairness and intent to stay. - The guide says anonymity and safeguards against retaliation or small-team rankings are essential for employee surveys. - The release says tools such as Medallia, Qualtrics and SurveyMonkey can automate deployment and scoring, but they cannot verify representative sampling or correct timing in the customer journey. - Recommended buying criteria include invitation logs, frequency caps, journey triggers, data integration, response-distribution visibility, closed-loop case management, privacy controls, method-consistent benchmarks and response-level data access. - Diogenia says the working paper is a conceptual narrative synthesis, not an original empirical study or a systematic review, and it has not undergone peer review. - The paper integrates published scholarship with selected practitioner and corporate materials to explain NPS diffusion and organizational consequences.
Between the lines: - The release is less a rejection of NPS than a case for using it with more discipline. - The argument shifts attention from the score itself to the systems that collect, interpret and reward it. - The critique of vendor tools suggests software can scale surveys, but cannot fix weak measurement design. - The warning about incentives reflects a broader concern that employee behavior can be distorted when noisy metrics are treated as hard targets.
What's next: - Diogenia says the working paper, calculation infographic, fact sheet and expanded article are posted on his website. - Managers who use NPS or eNPS are likely to be pushed toward combining the metrics with operational and behavioral evidence. - Buyers evaluating survey platforms may place more weight on governance, data access and journey design than on scoring automation alone.
The bottom line: - NPS is still useful, but only if organizations treat it as one signal among many instead of a shortcut for judgment.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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