What is Net Promoter Score? (Video)

Net Promoter® Score (NPS®) is one of the most popular CX metrics, so we are often asked to discuss it with clients. In addition to helping build successful NPS systems, we often provide a basic overview for executive teams and broader audiences of employees. That’s why created this video. It’s meant to explain what NPS is all about and why it may be a valuable approach for some companies. It’s a great video to share across your organization if you are using or considering using NPS. If you’d like more information, check out our NPS/VoC program resources.


CX Sparks: Guides For Stimulating Customer Experience DiscussionsThis video is a great introduction to a discussion with your team. That’s why we’ve created a CX Sparks guide that you can download and use to lead a stimulating discussion.


Video Script:

You may have heard of Net Promoter Score, which is often referred to as NPS. It’s a popular customer experience metric. Let’s examine what it is.

Walt Disney once said “Do what you do so well that they want to see it again and bring their friends.” He understood the incredible value of customers who actively recommend a company.

NPS is a measurement system that helps companies track and increase the likelihood of customers recommending an organization.

First of all, let’s describe the actual NPS measurement. It begins by asking customers a simple question:

“How likely are you to recommend this company to a friend or relative?”

Customers choose a response from an 11-point scale that goes from 0 “not at all likely” to 10 “extremely likely.”

Based on their response, customers are placed into one of three categories:

  • If they choose between 0 and 6, then they are DETRACTORS.
  • If they choose 7 or 8, then they are PASSIVES.
  • If they choose 9 or 10, then they are PROMOTERS.

NPS is calculated by taking the percentage of Promoters and subtracting the percentage of Detractors. You then multiply the percentage by 100 to get a whole number between -100 and +100.

Calculating Net Promoter Score (NPS)

Let’s say that 100 people answered the question, and 40 are Promoters, 50 are Passives, and 10 are Detractors. To calculate NPS, we would take the 40% for Promoters, subtract the 10% for Detractors, which leaves 30%. After multiplying it by 100, the NPS is 30.

While NPS provides a score, 30 in this case, the power of the system does not come from overly focusing on the number.

The goal of using NPS is to find and correct issues that create Detractors and to find and repeat activities that create Promoters. So it is important to understand what is causing customers to choose their responses.

That’s why most NPS programs include a follow-up question that asks the customer why they chose the score that they did. This question should be open-ended, not multiple choice, so customers can express their views in their own words.

What do you do with the data?

First of all, you want to “close the loop” with the customers who responded. This means contacting at least some of the customers who respond. Companies often try to reach out to all of the Detractors, to find out more about their problems and to see if their issues can be resolved. They also often contact Promoters, to thank them and hear more about what they like.

Next, you want to examine the opportunities to improve NPS by looking at what situations and activities cause Promoters and Detractors. This requires analyzing the responses from each group separately, and often involves incorporating other information about customers. You may also want to examine what drives Promoters and Detractors across different business areas or customer segments.

There’s no value in identifying the items that are driving NPS up or down unless a company does something with what they learn.

That’s why companies establish processes for reviewing, prioritizing, and taking action on the items that they uncover. In other words, the way to improve NPS is to have an ongoing approach for improving customer experience.

When used correctly, NPS helps companies follow Disney’s advice and do what they do so well that their customers want to see them again and bring their friends.

If being customer-centric matters to your organization, then why leave it to chance? Contact Temkin Group, the customer experience experts, by emailing info@temkingroup.com, or visit our website, at TemkinGroup.com.

Note: Net Promoter, Net Promoter Score, and NPS are registered trademarks of Bain & Company, Inc., Fred Reichheld and Satmetrix Systems, Inc.

Report: What Happens After a Good or Bad Experience, 2018

To understand how the quality of a customer’s experience – whether it was good or bad – affects their behavior, we asked 10,000 U.S. consumers about their recent interactions with more than 300 companies across 20 industries. We then compared results with similar studies we’ve conducted over the previous seven years.

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Here are some highlights:

  • Purchase and download Temkin Group report: What Happens After a Good or Bad Experience, 2018About 18% of the customers who interacted with TV & Internet service providers reported having a bad experience – a considerably higher percentage than in other industries. Of the companies we evaluated, 21st Century, Comcast, Cox Communications, and New York Life deliver bad experiences most frequently.
  • We created a Sales at Risk Index for all 20 industries by combining the percentage of customers in an industry who reported having a bad experience with the percentage who said they decreased their spending after a bad experience. According to this Index, TV & Internet service providers stand to lose the most revenue (6.4%) from delivering bad experiences, while utilities stand to lose the least (1.4%).
  • When it comes to recovering from delivering a bad experience, Investment firms are the most effective and TV & Internet service providers are the least effective.
  • After customers have a very bad or very good experience with a company, they are more likely to give feedback directly to the company than they are to post about it on Facebook, Twitter, or third party rating sites. Customers are also more likely to share positive feedback through online surveys and share negative feedback through emails.
  • Compared to previous years, customers are less likely to share feedback across almost all channels, with a particularly large drop in the percentage who post on Facebook or Twitter.
  • Across almost all age groups, consumers are most likely to share their feedback directly with the company. Consumers between 18 and 34 years old are the most likely to share their good and bad experiences on Facebook, while older consumers tend to use 3rd party ratings sites more than Facebook or Twitter.

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Here is one of the 12 graphics in the report:


Report Outline:

  • Bad Experiences are Prevalent in the TV & Internet Services Sector
  • Bad Experiences Can Be Very Costly
  • Consumers Give More Feedback After a Bad Experience
    • The Channels for Direct Company Feedback
    • Feedback Differs Across Age Groups

 

Figures in the Report:

  1. TV & Internet Service Providers Deliver the Highest Percentage of Bad Experiences
  2. Companies That Deliver The Most And The Fewest Bad Experiences
  3. How Consumers Cut Their Spending After A Bad Experience, By Industry
  4. How Consumers Cut Their Spending After A Bad Experience, By Industry
  5. Sales at Risk Due to Bad Experiences
  6. How Industries Respond to Bad Experiences Overall
  7. How Consumers Give Feedback
  8. How Consumers Give Feedback to Companies
  9. Changes in How Consumers Give Feedback After a VERY GOOD Experience, 2013 to 2017
  10. Changes in How Consumers Give Feedback After a VERY BAD Experience, 2013 to 2017
  11. How Consumers Across Age Groups Give Feedback After VERY GOOD and VERY BAD Experiences
  12. How Consumers Across Age Groups Give Feedback Directly to Companies After VERY GOOD and VERY BAD Experiences

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Mastering Customer Experience Metrics (Infographic)

As an organization’s customer experience efforts mature, CX metrics become a critical guidepost for all of its activities. You can see different ways to download this infographic below.

Mastering Customer Experience (CX) Metrics Infographic

Here are links to download different versions of the infographic:

Here are links to the research referenced in the infographic:

Making AI Customer-Centric

Making AI Customer-Centric (Temkin Group Report)Temkin Group just published a new report, Making AI Customer-Centric. Here’s the executive summary:

The use of Artificial Intelligence (AI) – often in the form of chatbots and intelligent virtual assistants – is becoming more widespread in customer experience. However, despite its prevalence, few companies are employing AI in the right scenarios or using it to its fullest potential. In this report, Temkin Group creates a model and shares best practices for AI-Driven Interfaces (AIDI), which we define as digital interactions with customers that are being directly manipulated by machine learning algorithms.

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To successfully deploy customer-centric AI, companies need to:

  • Integrate the elements of the Human Conversational Model into the design of AIDI.
  • Bring together Five Ingredients: Conversational Design, Targeted Use Cases, Optimized Data Aggregation, Responsive AI Engine, and Continuous Tuning.
  • Determine Organizational AI Readiness before deployment by tying AI to business strategy, auditing data sources, assessing employee skills, and planning for agent/AIDI interactions.

Five Ingredients of Customer-Centric AI

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Report Outline:

  • Current AI Efforts Miss the Mark
  • Five Ingredients For Customer-Centric AI
    • Ingredient #1: Conversational Design
    • Ingredient #2: Targeted Use Cases
    • Ingredient #3: Optimized Data Aggregation
    • Ingredient #4: Responsive AI Engine
    • Ingredient #5: Continuous Tuning
  • Determine Organizational AI Readiness

 

Figures in the Report:

  1. Artificial Intelligence Terminology
  2. Five Ingredients for Customer-Centric AI
  3. The HumanConversational Model
  4. American Express Platinum: Handoff to live agent
  5. Organizational Personality
  6. Organizational Personality: U.S. Army’s SGT STAR
  7. Attributes of Good Initial AI Use Cases
  8. How AI Supports Contact Center Agents
  9. NorthFace: Identify Intent in the Moment
  10. Questions For Determining Organizational AI Readiness
  11. Changing Responsibilities for AI Development

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The Future of VoC Actionable Insights: Assistance Engines

Earlier this week I gave a speech called “The Future of CX: Humanistic, Prescriptive, and Responsive.” During that session, I discussed a missing link in today’s VoC technology: Assistance Engines. Here’s a picture of the future that I have in mind.

Architecture For Prescriptive Customer Insights

Before I describe Assistance Engines, I want to go back to 2010 when I labelled VoC technologies as Customer Insight & Action (CIA) Platforms. The naming was important, because it correctly identified that vendors needed to focus more on “insight & action” than on customer feedback.

It turns out that this is still the case. In the future, VoC vendors will be completely judged by results that their clients get from taking actions on the insights that these vendors provide.

Action is the holy grail! All of the efforts around surveying, integrating data, analyzing, etc. are only as valuable as the actions that they lead to. Most of the vendors now understand this key concept, and are working feverishly to improve the actionability of the insights they provide.

Companies still have a long way to go in taking action on their VoC insights. As you can see in our recent infographic, only 24% of large companies think they are good at taking action.

To help refine the insights, most vendors are developing some sort of an Intelligence Engine. This technology combines direct customer feedback with other customer information, and then applies different analytical and machine learning approaches to create predictive insights about large groups of customers.

While this technology is helping companies to better understand their customers, the output does not often translate directly into actionable insights. Why not? Because there’s a wide gap between insights from the Intelligence Engine which are often delivered in charts and dashboards, and the types of information that employees need to make their a day-to-day decisions.

No matter how much smarter these platforms get about customers, they won’t be truly actionable until they also get smarter about employees.

That’s where Assistance Engines come into play. What is an Assistance Engine?

A set of technologies that uses analytics and machine learning to provide increasingly valuable advice to help different employees across an organization make customer-centric decisions.

Or you can think of it more simply as…

Technology that recommends employee actions based on customer insights.

Assistance Engines will provide timely, actionable insights that are embedded within role-based processes, and delivered as answers and recommendations, not as charts and numbers. This technology will also fine-tune its recommendations based on feedback from employees about the types of recommendations that they find valuable.

Think of the Assistance Engine as being like an analyst who works for the employee. A good analyst can comb through data in an Intelligence Engine, understanding her bosses needs, and translate the customer insights into a very relevant set of recommendations. Over time, the analyst gets better at anticipating what her boss needs or wants to see.

Here are some examples of insights that an Assistance Engine might deliver (think about the employee simply asking Alexa a question):

  • When a product manager is defining a new product, the Assistance Engine will recommend a set of features that a product manager should include in its next release.
  • When a contact center supervisor finds that she has 15 minutes free, the Assistance Engine can tell her which agent to spend time with and what to cover during the session.
  • When an executive is looking to improve the companies NPS, the Assistance Engine will identify the regions to focus on and the activities that should be improved in those regions.

The early use cases for Assistance Engines will likely focus on recommendations that are already being made by analysts. But instead of having someone spend a lot of time manually digging through troves of data, the Assistance Engine will simply answer end users’ questions.

Companies still have a long way to go in building out their Intelligence Engines, so we do not expect to see Assistance Engines become mainstream for several years. But the maturing of end-user responsive analytics such as IBM Watson and Amazon Analytics will help accelerate the development.

The bottom line: Actionability requires more focus on employees.

 

Building A Strong Voice of The Customer Program (Infographic)

Voice of the Customer (VoC) programs are a critical component for many CX efforts. This infographic examines those efforts. Make sure to visit our VoC/NPS Resource Page for more help in building your VoC program.

Here are links to download different versions of the infographic:

Here are links to the research referenced in the infographic:

The Future of VoC: Insight & Action, Not Feedback

The vendor market for Voice of the Customer (VoC) products and services has been heating up, with numerous acquisitions and mergers. All of this is happening as companies are trying to figure out how to run successful VoC programs. It appears that we on the verge of the next stage in evolution for VoC. So I decided to step back and look at the overall market.

VoC Programs Need To Grow Up

Our research shows that nearly three-quarters of large companies rate their voice of the customer (VoC) programs as being successful (only 8% say that they’ve been unsuccessful). That’s great—infusing almost any type of customer insights into a business can add value. 

Level of Maturity for Voice of the Customer (VoC) Programs in Large Enterprises

However, companies aren’t close to reaching their full potential. Only 14% of companies have reached the the two highest levels of Temkin Group’s VoC Maturity Model.

One of the reasons for this immaturity is a simple fact: creating and managing great VoC programs isn’t easy. They take significant leadership commitment and a  variety of expertise. In many cases, however, companies don’t redesign their approach to customer insights, they simply end up updating and automating many of their historical practices.

The big change for VoC programs is that they must focus more on enabling action across their organization. We found that only 24% of large firms think they are good at making changes to the business based on the insights. For VoC programs to fully mature, they need to become hyper-focused on generating insights in the right form at the right time to help people across their organizations make better, more informed decisions.

As if that’s not enough to work on, companies will need to address Six Customer Insight Trends that will reshape VoC programs: 1) Deep Empathy, Not Stacks of Metrics; 2) Continuous Insights, Not Periodic Studies; 3) Customer Journeys, Not Isolated Interactions; 4) Useful Prescriptions, Not Past Descriptions; 5) Enterprise Intelligence, Not Customer Feedback; and 6) Mobile First, Not Mobile Responsive.

VoC Vendors Need To Grow Up

In 2010, I rejected the label “Enterprise Feedback Management (EFM)” that was being used to describe vendors that provided technology and services for VoC programs. Instead of EFM, I labeled them as Customer Insight and Action (CIA) Platforms and here’s why:

To some degree, surveying functionality is becoming a commodity. Organizations are recognizing that feedback is not valuable on its own; it only becomes valuable when it’s used as an input to insights which drive some type of action. So the focus is no longer on feedback, but on insight and action. Hence, Customer Insight and Action (CIA) Platforms.

Fast forward to 2018 and I think that CIA Platforms is still the correct name for these offerings (from vendors such as Confimit, InMoment, MaritzCX, Medallia, and Qualtrics). They continue to evolve towards this description I used in 2010:

CIA Platforms need to support closed-loop voice of the customer (VoC) programs that are going beyond structured, solicited feedback (traditional surveys). With the maturing of text analytics and the rise of social media, companies are increasingly mining insights from unstructured, unsolicited feedback like customer comments on surveys, notes and verbatims from contact center conversations, inbound emails, online chats, social media sites, customer feedback comments, etc

But new channels of feedback (also called “listening posts”) are not the only element that distinguishes CIA Platforms from their predecessors. These applications also provide actionable insights by:

  • Incorporating non-feedback data like customer profiles and transactional history
  • Distributing tailored, contextual insights across an organization
  • Providing alerts based on specific criteria
  • Supporting workflow associated with taking action based on the insights
  • Integrating with other applications like CRM and workforce management

Next Generation CIA Platforms

Okay, so we got that right eight years ago. What’s next? Here’s where I think the market is heading for enterprise CIA Platforms:

  • Advanced analytics. We’ll see a considerable increase in the use of predictive analytics and the use of speech analytics to unlock insights from invaluable contact center conversations.
  • and way smarter analytics. The current set of analytics are mostly designed for analysts to uncover insights, but we’ll see more “packaged” analytics that mask complexity to provide tailored recommendations that improve high-impact decisions across the enterprise.
  • More focus on casual users.The days of generic metrics and dashboards will hopefully be a thing of the past. The information provided to people will be specific to their roles, and will proactively highlight the information that they need to know. It may take the form of highly customized dashboards, but it could also be a monthly infographic that can be posted in the lunchroom for hourly workers.
  • Less surveys, but more data. We already see in our research that organizations are becoming less reliant on surveys. This feedback will become less about understanding what’s being said by individual customers, and more about using the insights in predictive models to extrapolate what it might mean across entire segments of customers. This will require companies to integrate feedback with lots of customer data from other systems.
  • More selective, targeted feedback. Companies will get better at strategic sampling. What is this? Being smarter about who they get feedback from and when they get that feedback. The current approach of trying to hear from as many customers a possible in as many places as possible is conceptually attractive, but it’s an inefficient use of internal resources, and it puts a strain on an even more important commodity—customers’ time and attention.
  • Easier to use, but less “self-service.” In many cases, large enterprises lack the internal skills and know how to create and sustain a strong VoC program. While the technology platforms will continue to become easier for companies to administer and use without vendor support, strong VoC programs will increasingly recognize the need to tap into externally provided support across a number of areas, including:
    • Program setup
    • Data management
    • Sampling strategies
    • Dashboard design
    • Analytics
    • Insight distribution
    • Operational redesign

The bottom line: VoC programs and vendors need a makeover.

Report: Tech Vendors: Product and Relationship Satisfaction, 2018

Tech Vendors: Product & Relationship Satisfaction of IT ClientsWe just published a Temkin Group data snapshot, Tech Vendors: Product and Relationship Satisfaction of IT Clients, 2018.

During Q3 of 2017, we surveyed 800 IT decision-makers from companies with at least $250 million in annual revenues, asking them to rate both the products of and their relationships with 58 different tech vendors. Google, Oracle outsourcing, and Microsoft servers earned the top overall scores, while Autodesk, ADP outsourcing, and Fujitsu received the lowest overall scores. To determine their product rating, we evaluated tech vendors across four product/service criteria: features, quality, flexibility, and ease of use. And we calculated their relationship rating using four different criteria: technical support, support of the account team, cost of ownership, and innovation of company. We also looked at how the average product and relationship scores of tech vendors have changed over the previous four years and found that both product/service and relationship satisfaction have dropped to their lowest levels since the study began.

This research has a report (.pdf) and a dataset (excel). The dataset has the details of Product/Service and Relationship satisfaction for the 58 tech vendors as well as for 31 other tech vendors with sample sizes too small to be included in the published report. Here is a sample of the dataset.

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Here’s a link to last year’s study.

Here are the overall results:

Here are the data graphics in the report:

  1. Questions Used to Drive Analysis
  2. Overall Product & Relationship Satisfaction Ratings
  3. Product & Relationship Satisfaction Component Scores
  4. Top Half in Product Satisfaction Ratings
  5. Bottom Half in Product Satisfaction Ratings
  6. Top Half in Relationship Satisfaction Ratings
  7. Bottom Half in Relationship Satisfaction Ratings
  8. Product & Relationship Satisfaction Component Scores, 2014 to 2017

Report details: When you purchase this research, you will receive a written data snapshot and an excel spreadsheet with more data. The dataset has the details of Product/Service and Relationship satisfaction for the 58 tech vendors as well as for 31 tech vendors with sample sizes too small to be included in the published report. If you want to know more about the data file, download this SAMPLE SPREADSHEET without the data (.xls).

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Report: Lessons in CX Excellence, 2018

Download Temkin Group research report, Lessons in Customer Experience Excellence, 2018We just published a Temkin Group report, Lessons in CX Excellence, 2018. The report provides insights from six winners in the Temkin Group’s 2017 CX Excellence Awards. The report, which has more than 70 pages of content, includes an appendix with the finalists’ nomination forms. This report has rich insights about both B2B and B2C customer experience.

Here’s the executive summary:

This past November, we named six organizations the winners of Temkin Group’s 2017 Customer Experience Excellence Award – AARP, Allianz Worldwide Partners, Century Support Services, Nurse Next Door Home Care Services, Reliant, and Sage. This report:

  • Highlights specific examples of how these companies’ customer experience (CX) efforts have created value for both their customers and for their businesses.
  • Describes winners’ best practices across the four customer experience competencies: purposeful leadership, compelling brand values, employee engagement, and customer connectedness.
  • Includes all of the winners’ detailed nomination forms to help you collect examples and ideas to apply to your own CX efforts.

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Here are some highlights from the winners: Read More …

Report: The State of CX Metrics, 2017

Purchase and download report: State of Customer Experience (CX) MetricsWe published a Temkin Group report, The State of CX Metrics, 2017.

Temkin Group surveyed 169 companies to learn about how they use customer experience (CX) metrics and then compared their answers with similar studies we’ve conducted annually since 2011. We also had them complete our CX Metrics Program Assessment that evaluates the degree to which these efforts are Consistent, Impactful, Integrated, and Continuous.

Here are some of the highlights:

  • Only 11% of CX metrics programs received “strong” or “very strong” ratings, while 64% of companies received “weak” or “very weak” ratings. Only one out of five companies earned at least a moderate rating for being Integrated.
  • Sixty-five percent of companies are good at collecting and calculating metrics, but less than 20% are good at using analytics to predict future changes in the CX metric.
  • Satisfaction and likelihood to recommend remain the most popular CX metrics, with satisfaction at a transactional level delivering the most positive impact.
  • Only 10% of companies always or almost always make explicit tradeoffs between CX metrics and financial results.
  • Companies identified the lack of taking action based on CX metrics as a top obstacle to their programs. The identification of this as a top problem increased the most between 2016 (54%) and 2017 (62%).
  • We asked companies about their effectiveness at measuring 19 different elements of customer experience. They are most effective at measuring customer service, phone interactions, and customers who are using their products and services. They are least effective at measuring the experiences of prospects, customers who have defected, and multi-channel interactions.
  • When we compared companies with stronger CX metrics programs with those with weaker efforts, we found that the stronger firms have better overall CX results, more frequently use and get value from likelihood to recommend metrics, and report fewer obstacles.

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Here are the results from Temkin Group’s CX Metrics Program Assessment:

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Report Outline:

  • How Companies Are Using CX Metrics
    • Effectiveness of Measuring Different Customer Experiences
  • Competency & Maturity of CX Metrics Programs
    • Temkin Group’s CX Metrics Competency and Maturity Assessment
  • Examining Stronger CX Metrics Programs
  • Assess and Improve Your CX Metrics Programs
    • Build A Strong CX Metrics Program in Five Steps

 

Figures in the Report:

  1. Effectiveness of Components of CX Metrics Programs
  2. Effectiveness of Components of CX Metrics Programs (2015 to 2017)
  3. Use of CX Metrics (2015 to 2017)
  4. Effectiveness of Components of CX Metrics Programs
  5. Effectiveness of Components of CX Metrics Programs (2015 to 2017)
  6. Elements of CX Metrics Programs
  7. Elements of CX Metrics Programs (2015 to 2017)
  8. Problems With CX Metrics Programs (2015 to 2017)
  9. CX Measurement Across The Customer Lifecycle
  10. CX Measurement Across Different Types of Customers
  11. CX Measurement Across Different Types of Customers
  12. CX Measurement Across Different Elements of Experience
  13. CX Measurement Across Different Elements of Experience
  14. Temkin Group’s CX Metrics Program Assessment
  15. Results From Temkin Group Assessment of CX Metrics Programs
  16. Comparing Strong and Weak CX Metrics Programs: Customer Experience and Business Performance
  17. Comparing Strong and Weak CX Metrics Programs: Metrics Tracked
  18. Comparing Strong and Weak CX Metrics Programs: Successful Use of Metrics
  19. Comparing Strong and Weak CX Metrics Programs: Measurement Effectiveness
  20. Comparing Strong and Weak CX Metrics Programs: Obstacles to Success
  21. Percentiles of Results From Temkin Group CX Competency Assessment
  22. Five Steps For Building a Strong CX Metrics Program

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Report: Five Steps For Building A Strong CX Metrics Program

Five steps for building a customer experience metrics programWe published a Temkin Group report, Five Steps For Building A Strong CX Metrics Program.

A robust customer experience (CX) metrics program allows an organization to systematically measure the quality of the experience it delivers to customers and provides insights that help companies spot improvement opportunities, prioritize investments, track CX progress, and unify the organization around a common goal. Despite these benefits, few organizations have actually built a strong metrics program. In this report, we provide a blueprint that organizations can follow to create an actionable CX metrics program. Here are some highlights:

  • Temkin Group has identified five steps an organization must go through to create a strong CX metrics program: 1) Determine a Core CX Metric, 2) Set Achievable Goals, 3) Identify Key Drivers, 4) Establish Key Driver Metrics, and 5) Make the Suite of Metrics Actionable.
  • To illustrate what these steps should look like, we share nearly 30 best practices from companies including Brainshark, Caesars Entertainment, Ciena, Cisco, Horizon BCBSNJ, Oxford Properties, and Wyndham Worldwide.
  • We provide an assessment companies can use to both evaluate the effectiveness of their CX metrics program and identify where to focus improvement efforts.

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Here are the best practices highlighted in the report:

Examples of 5 Steps for An Actionable CX Metrics Program

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Report Outline:

  • Customer Experience Metrics Need a Makeover
  • The Essence of a Strong CX Metrics Program
  • Five Steps for Creating a Strong CX Metrics Program
    • Step #1: Determine a Core CX Metric
    • Step #2: Set Achievable Goals
    • Step #3: Identify Key Drivers
    • Step #4: Establish Key Driver Metrics
    • Step #5: Make the Suite of Metrics Actionable
  • Assess Your CX Metrics Program

 

Figures in the Report:

  1. Problems With CX Metrics Programs
  2. Effectiveness of Component of CX Metrics Programs
  3. Best Practices Across Consistent, Impactful, Integrated, & Continuous
  4. Best Practices Across the Five Steps
  5. How to Craft a Strong Core CX Metric
  6. Use of CX Metrics (2014 to 2016)
  7. Ciena’s Approach to Identifying a Core CX Metric
  8. Tools for Identifying Key Drivers
  9. Examples of Company’s Suites of Metrics
  10. Types of Key Driver Metrics
  11. Ciena’s Inside-out/Outside-In CX Scorecard
  12. Example of Oxford Properties Cascading CX Metrics
  13. Dashboard Metrics: Create Operational Metrics
  14. Tailoring Metrics By Audience: Wyndham Worldwide
  15. Tying Compensation to CX Metrics
  16. Examples of Companies’ Compensation Programs
  17. Temkin Group’s CX Metrics Program Assessment

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Report: State of Voice of the Customer Programs, 2017

State of Voice of the Customer Programs, 2017We just published a Temkin Group report, State of Voice of the Customer Programs, 2017. Here’s the executive summary:

For the seventh straight year, Temkin Group has benchmarked the competency and maturity levels of voice of the customer (VoC) programs within large organizations. This year we surveyed close to 200 large companies and asked them to complete Temkin Group’s VoC Competency and Maturity Assessment, which evaluates their capabilities across what we call the “Six Ds:” Detect, Disseminate, Diagnose, Discuss, Design, and Deploy. This report also includes data from these companies’ responses to help you benchmark your own company’s VoC efforts. We compared this year’s results with those from previous years and found that:

  • While most companies think that their VoC efforts are successful, less than one-quarter of companies consider themselves good at making changes to the business based on the insights.
  • Companies find their VoC programs to be most valuable for “identifying and fixing quick-hit operational issues” and least valuable for “identifying innovative product and service ideas.”
  • Companies expect technology will continue to heavily impact their VoC programs in the future, especially for integrating survey data with CRM and operational data.
  • In the future, companies expect the most important source of insights to be customer interaction history and the least important source to be multiple-choice questions.
  • The most common activity for VoC teams is defining customer experience metrics for their companies, and this activity became even more popular over the past year.
  • Only 14% of companies have reached the two highest levels of VoC maturity (out of six levels), while 46% remain in the bottom two levels.
  • When we compared higher-scoring VoC programs with lower-scoring programs, we found that companies with mature programs are more successful, technology-focused, and mobile-oriented and have more full-time staff and more involved senior executives.
  • Companies with more mature VoC programs identified “integration across systems” as the most common obstacle they face, while less mature VoC programs struggle the most with “cooperation across the organization.”

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Here’s the VoC competency & maturity levels, which is one of 29 graphics in the report:

Voice of the customer competency and maturity levels

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Report Outline:

  • VoC Programs are Successful, But Have Room To Improve
  • Assessing the Maturity of VoC Programs
    • Six D’s: Detect, Disseminate, Diagnose, Discuss, Design, and Deploy
    • Five Levels of VoC Maturity – From Novices to Transformers
  • Anatomy of Successful VoC Programs
  • Propel Your VoC Program to the Next Generation

 

Figures in the Report:

  1. Effectiveness of Voice of the Customer Programs
  2. Evaluation of Voice of the Customer Elements
  3. Where Companies Get Value From VoC Programs
  4. How Technology Enables Voice of the Customer Programs
  5. Changing Importance of Customer Insight Channels
  6. Collecting Customer Feedback Via Mobile
  7. Structure of Voice of the Customer Organizations
  8. Responsibilities of Voice of the Customer Teams
  9. Voice of the Customer Executive Involvement
  10. Obstacles to Voice of the Customer Success
  11. Six D’s of a Successful Closed-Loop Voice of the Customer Program
  12. Maturity Levels of Voice of the Customer Programs
  13. Temkin Group Voice of the Customer Program Competency and Maturity Assessment (Page 1 of 2)
  14. Temkin Group Voice of the Customer Program Competency and Maturity Assessment (Page 2 of 2)
  15. 10 Highest Scoring Competency Questions
  16. 10 Lowest Scoring Competency Questions
  17. Competency Questions That Increased The Most Between 2016 and 2017
  18. Competency Questions That Decreased The Most Between 2016 and 2017
  19. Voice of the Customer Competency and Maturity Levels
  20. Voice of the Customer Competency and Maturity Levels, Changes
  21. Success Rates of VoC Programs Based on VoC Maturity
  22. VoC Insight Sources and Technology Based on VoC Maturity
  23. Mobile VoC Based on VoC Maturity
  24. Areas of Success Based on VoC Maturity
  25. The VoC Organization Based on VoC Maturity
  26. Responsibilities of VoC Teams Based on VoC Maturity
  27. Senior Executive Involvement in VoC Based on VoC Maturity
  28. Key Obstacles Based on VoC Maturity
  29. Percentiles of Results From Temkin Group VoC Competency & Maturity Assessment

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6 Levers For Executive Commitment to CX (Infographic)

In the report Activating Executive Commitment to CX, Temkin Group introduces a blueprint that CX leaders can use to gain and strengthen senior executive commitment. It’s composed of six levers: Create Vision Clarity, Share Compelling Opportunities, Amplify Emotional Empathy, Feed Intrinsic Motivations, Enable First Steps, and Fuel Ongoing Confidence. Here’s an infographic that provides an overview.

infographic of 6 levesr for gaining executive commitment to CX

You can download the graphic in several formats:

Report: Renovating Your Voice of the Customer Program

renovating your voice of the customer programWe just published a Temkin Group report, Renovating Your Voice of the Customer Program.

Here’s the executive summary:

Voice of the customer (VoC) programs are essential to any customer experience effort. In recent years, VoC efforts have continued to expand and support their organizations; however, going forward they will need to adapt to significant changes in data sources, technology, operational pressures, and consumer behavior. In this report, Temkin Group details how companies can propel their VoC programs into the future by:

  • Identifying Six Customer Insight Trends that will reshape VoC programs: 1) Deep Empathy, Not Stacks of Metrics; 2) Continuous Insights, Not Periodic Studies; 3) Customer Journeys, Not Isolated Interactions; 4) Useful Prescriptions, Not Past Descriptions; 5) Enterprise Intelligence, Not Customer Feedback; and 6) Mobile First, Not Mobile Responsive.
  • Sharing 30 examples that exemplify innovative VoC practices across each of the trends.
  • Helping companies lay the groundwork for VoC innovation with a description of how to drive change through three distinct stages.

For this report, we received submissions of innovative VoC practices from Confirmit, InMoment, Rant & Rave, Qualtrics, Verint, and Walker.

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Here are the best practices described in the report:

Innovative voice of the customer practices

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Report Outline:

  • Voice of the Customer Programs Need an Overhaul
  • Six Trends That Will Reshape VoC and Customer Insights
  • Best Practices For Tapping Into VoC Trends
    • Trend #1: deep Empathy, Not Stacks of Metrics
    • Trend #2: Continuous Insights, Not Periodic Studies
    • Trend #3: Customer Journeys, Not Isolated Interactions
    • Trend #4: Useful Prescriptions, Not Past Descriptions
    • Trend #5: Enterprise Intelligence, Not Customer Feedback
    • Trend #6: Mobile First, Not Mobile Responsive
  • Introduce Innovation Throughout VoC Programs

 

Figures in the Report:

  1. Growing Role of Technology and Insight Sources in VoC
  2. Vendor-Submitted Best Practices By Trend
  3. Vendor-Submitted Best Practices By Trend
  4. Vendor-Submitted Best Practices BY Trend
  5. Innovative VoC Practices Across the Six Customer Insight Trends
  6. Intuit Design for Delight (D4D)
  7. GE Healthcare: Adventure Series
  8. Petsmart: Collecting Non-Mobile Feedback Through Mobile
  9. Mobile Telecommunications: Explore Variation by Channel
  10. Ally Bank: Design Standardized Methods For Prioritizing Insights
  11. Using Text Analytics to Understand Satisfaction Scores
  12. Example of Condensed Survey Design
  13. Probe for Immediate Survey Follow-Up
  14. Example of Mobile-Friendly Alert for Employees
  15. Customer Insights Readiness Checklist
  16. Mobile Feedback Transforms the Six D’s of Voice of the Customer

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The Human Conversational Model (Infographic)

In the report, Humanizing Digital Interactions, we decoded successful person-to-person interactions as a step in developing the Human Conversational Model. It’s the foundation for building compelling interactions with customers. This infographic provides an overview of the model and shows how to apply it to your digital efforts.

Foundations for humanizing customer interactionsYou can download the infographic in several forms: