The Four P’s of XM Insights

In a recent XM Institute report, we discussed how to Operationalize Experience Management (XM).  Why does XM matter? Because it creates a discipline that helps organizations continuously learn (how people are thinking and feeling), propagate insights (to the right people in the right form at the right time), and rapidly adapt (to an increasing flow of actionable insights).

As we look into the future, just about every organization is facing more demanding customers, more demanding employees, and shorter product lifecycles. In this environment, they need to make smarter, faster decisions… They need XM.

Organizations that master XM will adapt faster than their peers. That statement alone should be compelling enough to focus on building XM capabilities. What happens to your organization if your competitors are systematically adapting faster than you?!?

To understand where XM will come into play, I’ve identified four categories of insights that XM leaders will better understand and more quickly respond to than their peers. Let’s just call them the Four Ps of XM Insights:

2002_4Ps_v1

  • Problems: Have an issue with a product, a brand message that’s going awry, a manager ruining morale, or a process that’s turning customers into detractors? XM leaders will spot those problems and make appropriate adjustments, before their competitors have any indication that there may be an issue.
  • Preferences: What features do key customers prefer, which brand messages resonate with target audiences, and what benefits will have the most impact on employee retention? XM leaders will know the answers to these types of questions and make adjustments before their peers even formulate the questions.
  • Possibilities: What unspoken needs do your customers have, what innovations are in the minds of employees, how can you reinvent your brand, and what should your next generation of products and services look like? XM leaders will have a continuous pulse on these types of insights, while their competitors just brainstorm about them during planning off-sites.
  • Priorities: Which actions will drive the most loyal customers, the most engaged employees, the most vibrant brands, and the most irreplaceable products? XM leaders will understand these connections and focus their resources on the most impactful areas, while their competitors debate options with random groups of employees who happen to be invited to meetings.

The bottom line: XM leaders will adapt faster to problems, preferences, possibilities, and priorities.

New Research Digs Into Industries And Consumer Feedback Patterns

The XM Institute is kicking off the year with a research bang.

In a previous post, I mentioned two reports from late last year that show the business value of CX, The ROI of CX and What Consumers Do After a Bad Experience. Since then, we’ve actually published a number of new research reports with an emphasis on industry-specific data. These reports are based on a survey of 10,000 U.S. consumers and examine almost 300 companies over 20 industries.

Enjoy these free reports:

200120_XMIResearch

Industry CX Snapshots

2001_CXRetailIndustryGraphics_v1This series of reports dig into CX data for a number of industries:  AirlineAutoBankingHealth InsuranceHotelInsurance, and Retail.

Each Industry Snapshot looks at how the highlighted industry’s XMI Customer Rating compares to the Ratings of the other 19 industries and examines the connection between a customer’s experience and the likelihood that they will recommend, rebuy from, and trust a company within that industry. These Industry Snapshots also explore the potential cost of delivering poor experiences, the most broken journeys within each industry, and how experience perceptions differ across age groups

How Consumers Give Feedback

Download the free report, Data Snapshot: How Consumers Give Feedback

2001_HowConsumersGiveFeedback_Graphics1Did you ever wonder what channels consumers use to give feedback, and how that differs between good and bad experiences and across age groups? Then this is a great report for you.

We found that people are more likely to talk about bad experiences than good experiences. When consumers do tell someone about an experience, only one-fifth of consumers provide that feedback directly to the company. We also looked at how consumer behavior differs across age groups.

Six Types Of Experience Data (X-Data)

One of the key building blocks of Experience Management (XM) is X-data, which helps establish an understanding of how people think, feel, and behave. In almost all circumstances, organizations lack the X-data they truly need. So how should organizations go about instrumenting their operations to collect the right data?

To identify the required X-data, it’s important to first understand how data flows from people’s experiences. That’s why you should start with the Human Experience Cycle (HxC). As you can see below, experiences lead to perceptions, attitudes, and behaviors.

1903_HumanExperienceCycle2

Using the HxC model, we examined the components of many XM programs and have identified six distinct types of X-data:

  1. Experience Expectations. How people think and feel about a future interaction with an organization, which can be collected on a regular cycle or periodically (e.g., whether a customer expects a product to be hard to use or believes they can accomplish a service interaction online).
  2. Interaction Perceptions. Feedback on a specific interaction, which can be tracked continuously or periodically (e.g., feedback after an online purchase or after an employee training course).
  3. Journey Perceptions. Feedback on collection of activities around a goal, which can be tracked continuously or periodically (e.g., feedback after an airline customer finishes a trip or after an employee completes her on-boarding).
  4. Relationship Attitudes. How people feel about an organization, including plans for future interactions, which can be tracked on a regular cycle or periodically (e.g., NPS or brand tracking study).
  5. Ad-Hoc Diagnostics. How people think or feel about a problem or opportunity, which is collected as needed based on other findings (e.g., pulse employee survey about a leadership issue or qualitative study into why a brand message didn’t work).
  6. Choice Preferences. How people would rank different alternatives, which is collected periodically (e.g., product feature selection or employee benefits optimization).

XM programs need to collect these six types of X-data for all human beings in their ecosystem (e.g., suppliers, employees, customers, prospects, stakeholders, etc.). This effort embodies what we call the “Experience Monitoring” skill within the XM Competency of “Enlighten.”

We’ll use this taxonomy in future posts and research to help organizations assemble the right XM programs. For now, think about where you might collect and how you might use these different types of X-data.

The bottom line: Every organization needs these six types of X-data.

Five Recommendations For De-Emphasizing Benchmarking

Benchmarking, benchmarking, benchmarking… it’s a popular subject.

I’ve been publishing CX benchmarks for more than 10 years, so you might be surprised by my point of view on the topic: benchmarking is often overused and misinterpreted. I’m not saying to give up on the entire activity, but people often spend too much time and energy focusing on industry comparisons that aren’t necessarily an accurate reflection of the genuine customer experience.

Let me start by saying that benchmarking is a perfectly good activity. It makes sense to periodically evaluate your performance relative to competitors, especially as an input to your strategy. And it’s also healthy to look at your performance relative to companies from other industries.

While benchmarking provides value, people often let it distract them from more important activities. So here are five recommendations on how to think about benchmarking:

  1. Focus on improving, not comparing. When it comes to the use of your insights activities, it’s critical that an overwhelming majority of your efforts are aimed at finding opportunities to improve — not scorekeeping. Many executives seem to feel as though a benchmark provides a security blanket of sorts—one that shows their remit within the business is in line (or better than) the competition. Whether it’s from internal metrics or external benchmarks, knowing where you are and where you’ve been is not nearly as valuable as knowing where you should be heading. Companies often use up a lot of their feedback capacity to ask customers (and employees) questions solely for the purpose of fueling a benchmark. My advice: Optimize everything you do on driving improvements, even if it means dropping some benchmarking questions.
  2. Obsess about customers, not competitors. One of the risks of relying too much on benchmarking is that it can mask your performance when there are shifts in the market, such as new competitive options or evolving customer requirements. You may be doing well against current competitors and with existing customers while the market is slipping away from you. Your critical strategic question should be are we delivering the right experiences to the right customers?, not how are we doing versus our competitors?
  3. Compare data within studies, not across them. Every industry benchmark is based on a specific methodology, with it’s own target audience, sampling approach, timing, collection mechanism, questions, and calculations. Each of these items has an impact on the results. As I often say, sampling patterns really, really matter. It’s often ineffective to compare results across different studies unless you control for all of those items, which can be very difficult. So don’t spend too much time trying to reconcile an industry benchmark with internal results.
  4. Set goals around key drivers, not necessarily industry benchmarks. As you think about setting goals for your organization, don’t fall into the trap of relying on benchmarked metrics just because the data exists. You should be setting goals for the items that drive the overall performance of your business, which may or may not look anything like the industry benchmarks. What’s unique about your brand and what creates a loyal customer? We recommend following five steps for creating a CX metrics program, starting with higher-level goals and working your way down to metrics on key drivers.
  5. Rely on internal insights, not external data. While external benchmarks can provide a high-level snapshot of relative performance, they lack the depth and adaptability to dig into critical company-specific topics such as the needs of target customer segments and your performance during key moments of truth. The additional value of internal insights are also dramatically amplified when you combine experience data (X-data) with operational data (O-data). The ability to dig into key questions and find more meaningful insights makes building internal insights capabilities a much more valuable endeavor than digging into external benchmarks.

The bottom line: Choose actionable insights over competitive comparisons… everyday!

Is NPS A Dubious Fad?

Okay, it’s that time again. Every few years someone ignites the debate about whether Net Promoter Score® (NPS®) is a great or terrible thing. A recent article in the WSJ (The Dubious Management Fad Sweeping Corporate America) has sparked the discussion this time.

Rather than write something entirely new, I decided to share something I wrote in 2015 that addresses the issue. Before I share that post, I also suggest you take a look at these:

Below is the 2015 post, Is Net Promoter Score A Savior Or A Demon?

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Every couple of years, I get a resurgence of questions about Net Promoter® Score (NPS®). These surges typically coincide with research that shows how NPS is either an excellent predictor or a terrible predictor of company performance. That data often ignites a religious battle between the NPS lovers and NPS haters.

Well, it’s one of those times.

Let me start by saying that I’m an atheist in this NPS battle. We’ve had the opportunity to study and work with hundreds of companies that use NPS. I’ve recommended to some companies that they adopt NPS, to others that they stop using NPS, and to others that they start with a totally different set of metrics (see our VoC/NPS resource page).

Let’s look at what we know for sure about NPS…

The reality is that the metric itself is much less important than how it is used. I’d rather use a sub-optimal metric in a way that drives positive improvements across an organization, than have a perfect metric that doesn’t result in as much impact.

Here are some quick answers to key questions:

  • Is NPS the best indicator of customer loyalty and business performance? In many cases, no.
  • Can other metrics be used to drive positive change? Yes.
  • Does NPS provide an easy to understand metric that can be widely adopted? Yes.
  • Can NPS be used to make an organization more customer centric? In many cases, yes.
  • Will a company improve if it increases promoters and decreases detractors? In many cases, yes.
  • Can NPS be used inappropriately? Yes.
  • Can any metric be used inappropriately? Yes.
  • Would I ever recommend NPS for every touch point? No.
  • Should companies consider their specific business when selecting metrics? Absolutely.
  • What’s more important, the metric or the improvement process? The improvement process.

The bottom line: NPS is neither a savior nor a demon.

P.S. In case you didn’t know, NPS® and Net Promoter® are registered trademarks of Fred Reichheld, Satmetrix, and Bain & Company.

 

Exciting News From The XM Institute

The time has finally come for me to tell people to stop purchasing Temkin Group research reports. Are we eliminating them? No. Are they irrelevant? No. We’ve just decided to give them away for free on the Qualtrics XM Institute site.

That’s right, you can now get access to almost our entire research library for free. One of the reasons we joined Qualtrics was to be able to help more people and organizations. This move shows you the commitment that Qualtrics is making to help the world understand and deliver on the promise of Experience Management (XM).

One of the things you’ll notice on the XM Institute page is a filter to select reports based on Six XM Competencies. Yes, we’ve created a new model. It’s based on the following six competencies:

  • Lead. Architect, align, and sustain successful XM efforts. Driving XM transformation requires a strong program and active support from senior leadership.
  • Realize. Track and ensure that XM efforts achieve business objectives. For XM efforts to have lasting, positive impact, they must align with the overall priorities of the organization.
  • Activate. Create the appropriate skills, support, and motivation. People generally gravitate towards the status quo. To help overcome that inertia, the organization must ensure that employees have all the appropriate XM-related training and support needed.
  • Enlighten. Provide actionable insights across an organization. At the center of XM is the constant flow of data being transformed into useful information and shared with those most capable of taking the appropriate action.
  • Respond. Prioritize and drive improvements based on insights. An organization must act on what it learns by making constant improvements as insights are uncovered.
  • Disrupt. Identify and create experiences that differentiate the organization. Truly successful XM efforts go beyond simply reacting to problems to proactively developing innovative experiences that give the organization a competitive advantage.

That’s just a quick summary. We will be publishing much, much more on this model in the future. It will be the primary lens for all of our content, which is why and we’ve created categories on this blog for the Six XM Competencies.

Enjoy all of the free content on the Qualtrics XM Institute site!

Six Categories Of X&O Data Insights

Last week I attended SAP’s SAPPHIRE and CX Live events in Orlando. It was great to see 35,000 or so of my new friends. As you might expect, Experience Management (“XM”) was a dominant theme. Just about every SAP or Qualtrics keynote speech discussed XM, and it was a topic at many of the concurrent sessions. I really enjoyed seeing the XM message come to life in so many different ways.

One of the cornerstones of XM is the combination of operational data (“O-data”) and experience data (“X-data”). While each type of data can provide valuable insights on its own, the combination can unlock new levels of intelligence across an enterprise. These more inclusive datasets will increase in value as organizations expand their use of predictive analytics, as the combined data is inherently more insightful.

To help you think about where you can find valuable opportunities to combine X- and O-data within your organization, we identified the following six categories of use cases:

  • X Why: Find something happening in O-data and look for an explanation in X-data
  • O Drivers: Find something happening in X-data and look for operational situations that are causing the situation
  • X&O Predict: Build projections based on an analysis of X- & O-data
  • X&O Personalize: Adjust how you treat people based on a combination of X- & O-data
  • X&O Alert: Send alerts and other proactive information based on a combination of X- & O-data
  • X Value: Measure the value of improving experiences by examining the impact that those changes have on business results

1905_CategoriesOfXODataInsights_v2

The graphic above provides some customer experience (“CX”) and employee experience (“EX”) examples, but it’s not meant to be an exhaustive list of use cases. Hopefully the table provides you with a good sense of the insights that can be unlocked with the combination of X- and O-data.

Now that you understand some of the ways for gaining insights from X- and O-data, think about how the combination can impact your organization. If you have some ideas or examples of how it’s worked for you, leave them in the comments section of this post.  I’ll try and highlight some of the most interesting items.

The bottom line: Combine your Xs & Os to unlock more insights.

 

CX Myth #6: Compensation Drives Good CX Behaviors

CX Myths: Debunking Misleading Beliefs About Customer Experience

Many common beliefs about customer experience are misguided, based on oversimplifications or a lack of consideration for real-world constraints. In this series of posts, we debunk these myths.


CX Myth #6: Compensation Drives Good CX Behaviors

What’s Wrong: Many organizations try to drive behavior change by tying employees’ compensation to customer experience metrics. While some level of compensation tied to CX can be helpful, it is often overdone. When you overly compensate on a single metric, it can often lead to unintended and detrimental consequences. Symptoms of these counterproductive behaviors include pestering customers for scores; focusing on activities that may improve scores, but aren’t good for the business; and actively debating the accuracy of the metrics. Rather than engaging in these activities, we want employees focusing on ways to improve customer experience.

What’s Right: Don’t use compensation to drive behavior change; instead, use it to reward good behaviors. With that in mind, you need to find other mechanisms to drive change, such as appealing to employee’s four intrinsic needs; their sense of meaning, control, progress, and competence. As I’ve previously written, keep in mind these three underlying principles about compensation:

  1. If there is significant compensation tied to any metric (including customer feedback), then people will look for ways to manipulate the measurement.
  2. If people don’t understand a metric, then tying compensation to it will have little impact on their behavior and any downside in compensation may create negative behaviors.
  3. If people don’t understand how they personally can affect a metric, then tying compensation to it will have little impact on their behavior and any downside in compensation may create negative behaviors.

What You Should Do:

  • Treat CX as a team sport. Your customers’ experience is almost never the result of a single person, even if that person is the only one interacting with the customer. So focus on team-level metrics and compensation that encourages key groups of employees to work together towards a shared objective.
  • Use an organization-wide CX metric. Developing a core CX metric for the entire organization that is tied to some compensation (not too large), is a great way to show commitment to improving CX, and it will encourage a regular dialogue about your overall CX performance.
  • Bias rewards towards the upside. Consider starting with a compensation plan that is biased towards upside. In other words, you may want to introduce the plan where there is little negative impact on compensation if the group doesn’t hit a goal, but there is positive impact of they exceed it. This can help eliminate some of the negative perceptions early in a program.
  • Celebrate good CX behaviors. Compensation is not the only reward system in an organization. If you want employees to behave in a certain way, then provide them with positive role models. Find ways to highlight employees who are demonstrating the behaviors that you would like others to emulate. This can include monthly or quarterly awards, shout outs at company meetings, or highlights across your internal communications.
  • Make it unacceptable to game the scores. When an employee asks a customer to “give me a 10 on a survey or I’ll get fired,” can you really count on the accuracy of that customer’s rating? This may be an extreme example of “gaming feedback,” but many versions of this behavior occur all the time. To keep gaming feedback in check, it’s important to be explicit with employees about what the company considers to be unacceptable behaviors.  I’ve identified five rules that you should strictly enforce with employees, which includes not talking with customers about survey questions, scores, or consequences.

The bottom line: Use compensation to reinforce, not force, good CX behaviors.

What’s All This About X- And O-Data?

1811_XODataYou might have heard Qualtrics discussing X-data (experience data) and O-data (operational data), and wondered, should we care? The answer is yes, and here’s why.

Let’s start with a basic premise that no individual experience exists in a vacuum. People form their opinions about any experience based on a collection of different factors. The more we can understand those factors, the better we can extrapolate the insights about a single personal experience to form a deeper understanding about other people’s experiences.

Now to my discussion of Xs and Os, starting with customer experience (CX)…

Let’s say that your company has this data:

  • X-Data: NPS responses
  • O-Data: Customer product ownership and support history.

With X-data, you can calculate an NPS for the customers who responded. You can also dig into their feedback, and hopefully understand what’s causing promoters and what’s causing detractors.

That’s extremely valuable, but it only tells you what’s going on with the people who happened to respond to the survey.

By combining O-data with your X-data you can examine (especially through predictive analytics) what types of products and service interactions lead to promoters and detractors, and use this data to calculate the NPS for large portions of your customer base–—even for customers who never responded to a survey.

It could be that ownership of a certain version of a product tied together with a specific type of customer service problem is highly likely to create detractors. You can identify all the customers with that profile and take proactive measures to correct the issues — even though they may never have complained.

Result: More loyal customers and more targeted use of your resources.

This works across all areas, even with employee experience (EX). Let’s assume you have this data:

  • X-Data: Employee satisfaction study
  • O-Data: Employee tenure, promotion history, most recent performance rating

With X-data, you can determine how employees feel about their next steps at the company. You can also dig into their feedback, and hopefully understand what’s causing higher vs. lower levels of career satisfaction.

By combining O-data with your X-data you can examine what influence tenure, promotion history, and performance may have on satisfaction, and use this data to identify segments of employees to invite to participate in a high-potential development program.

Result: More high-performing workforce because you’re investing in the right employees.

Hopefully you can see how the combination of X- and O-data can increase your CX and EX insights. The same dynamic also holds true for brand experience (BX) and product experience (PX). By combining and analyzing the different types of data, you can use feedback from a few people to build an understanding of many, many more. This allows you to better prioritize investments, while making more targeted and impactful changes.

The bottom line: X- and O-data together provides an analytics goldmine.

CX Myth #4: Net Promoter Score Is The Best/Worst Metric

CX Myths: Debunking Misleading Beliefs About Customer Experience

Many common beliefs about customer experience are misguided, based on oversimplifications or a lack of consideration for real-world constraints. In this series of posts, we debunk these myths.


CX Myth #4: Net Promoter Score Is The Best/Worst Metric

What’s Wrong: People often argue that Net Promoter Score (NPS) is the greatest metric, while other people argue that it’s a terrible metric. Both of those points of view are off the mark.

What’s Right: We rarely see a company succeed or fail based on the specific metric that it choses. That doesn’t mean that you can chose a ridiculous metric, but most reasonable metrics provide the same potential for success (and failure). In many cases, NPS is a reasonable choice, as our data shows that it often correlates to customer loyalty. The way you use a metric is often far more important than the metric that you chose.

What You Should Do:

  • Pick a simple metric. It’s important that you choose a metric that employees will understand, so they are motivated to help improve it. The metric can be based on customer attitudes (like NPS), behaviors (like repeat purchases), or even results (like first call resolution). Just pick a simple metric that aligns with your business goals.
  • Follow our five steps. To drive improvements using the metric, follow Temkin Group’s five steps. to 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.
  • Focus on all four action loops. People often discuss an action loop with CX metrics, but we’ve identified four customer insight-driven action loopsImmediate responsecorrective actioncontinuous improvement, and strategic change. Any CX metrics program should put in places processes to close all four loops.
  • Don’t compensate too much. When companies establish CX metrics, they often establish compensation based on them. While this can be a valuable approach to raise awareness and alignment, it can also be a problem if the level of compensation is too large (can encourage bad behaviors), it focuses on individual results (CX is a team sport), or the goals are too precise (some metrics are inherently jittery).
  • Have very clear sampling strategy. The approach for sampling often has a very significant impact on results. If you have multiple segments of customers and they each have a different profile (as many do), then your overall scores can change wildly based on the mix of those customers that are included in your calculations.

The bottom line: Obsess about your metrics program, not your metric.

Report: Tech Vendor NPS & Loyalty Benchmark, 2018 (B2B)

We just published Temkin Group’s annual Tech Vendor NPS & Loyalty Benchmark Study. Here’s the executive summary:

Temkin Group Net Promoter Score (NPS) & Loyalty Benchmark Study of B2B Tech VendorsFor the seventh year in a row, we have calculated the Net Promoter Score® (NPS®) of over 60 technology vendors and analyzed the correlation between NPS and four client loyalty behaviors – likelihood of repurchasing from that technology vendor, likelihood of trying new offerings, likelihood of forgiving the vendor if it makes a mistake, and willingness to act as a reference for the vendor. To gather this data, we surveyed 800 IT decision-makers from large North American firms about their relationships with their technology providers. Through this research, we found that:

  • Across the 61 tech vendors we examined, NPS ranged from +51 to -22.
  • VMware, IBM software products, DellEMC, and Microsoft server software earned the highest NPS, while Check Point, Splunk, and Alcatel-Lucent received the lowest.
  • Overall, the average NPS for the tech vendor industry stayed steady from last year, declining only slightly from 21.4 in 2017 to 21.2 this year.
  • Our analysis shows that NPS is strongly correlated to customers’ willingness to spend more with tech vendors, try their new products and services, forgive them after a bad experience, and act as a reference for them with prospective clients.
  • In addition to examining NPS, the research also provides a benchmark of several areas of loyalty. IT decision-makers are most likely to purchase more from DellEMC and Microsoft server software, try new offerings from Oracle outsourcing and Dell outsourcing, forgive Oracle outsourcing and Micro Focus if they make a mistake, and act as a reference for AWS and IBM outsourcing.

This report includes a .pdf report and a spreadsheet with the company-level data. You can see a sample of the data spreadsheet (.xls).

Download report for $695+
ROI of Customer Experience (CX), 2018

Here are two of the 11 graphics in the report:

Download report for $695+ROI of Customer Experience (CX), 2018


Report Outline:

  • Net Promoter Scores for 61 Tech Vendors
    • VMware Earns Top Net Promoter Score
    • Net Promoter Score Correlates to Multiple Aspects of Loyalty

 

Figures in the Report:

  1. Net Promoter Score (NPS) of 61 Tech Vendors
  2. Average NPS for Tech Vendors, 2012 to 2018
  3. Likelihood of Repurchasing from Tech Vendors
  4. NPS Versus Likely to Repurchase
  5. NPS Responses Versus Likely to Repurchase
  6. Temkin Innovation Equity Quotient(TIEQ) of Tech Vendors
  7. NPS Versus Temkin Innovation Equity Quotient
  8. Temkin Forgiveness Ratings (TFR) of Tech Vendors
  9. NPS Versus Temkin Forgiveness Ratings
  10. Willingness to Act As A Reference For Tech Vendors
  11. NPS Versus Willingness To Act As A Reference

Download report for $695+ROI of Customer Experience (CX), 2018

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

CX Myth #3: You Can’t Manage What You Don’t Measure

CX Myths: Debunking Misleading Beliefs About Customer Experience

Many common beliefs about customer experience are misguided, based on oversimplifications or a lack of consideration for real-world constraints. In this series of posts, we debunk these myths.


CX Myth #3: You Can’t Manage What You Don’t Measure

What’s Wrong: When people talk about CX, they often repeat a popular saying “you can’t manage what you don’t measure.” That’s just not true. Most of the things we manage in life don’t have a formal measurement. Every day we wake up in the morning, get dressed, and get to work – all without any specific measurements. The same is true at work, and with CX. If we see an employee make a client upset, we don’t need a score on a customer survey to know that it’s a problem.

What’s Right: The correct saying should be “you can’t manage what you don’t understand.” Unfortunately, leaders sometimes just slap measurements on CX, which leads to the suboptimal approach of blindly managing by the numbers. When you talk with customers and employees about different aspects of customer experience, you can often discover insights that either never show up in your measurements, or appear long after you should have known about them. Ideally, you use CX measurements to enhance your understanding, not to replace it.

What You Should Do:

  • Increase leadership CX IQ. If you want leaders to be less metrics-centric and more successful at driving an organization towards becoming more customer-centric, then those leaders need to have a clear and consistent view of how a customer-centric organization operates. A good place to start is by having leaders review Temkin Group’s CX Competency & Maturity Model. After that, you can create measurements that map to the leaders’ understanding of CX.
  • Prune action-less metrics. Since leaders are often enamored with metrics, they tend to track an increasingly larger number of them over time. The growth remains unfettered, as very few organizations have a good approach for stopping measurements once they’ve been created. Every year or so, companies should have a metrics cleansing period, during which time there’s a pro-active focus on removing metrics that have not recently provided demonstrable value.
  • Prioritize qualitative research. The push to metrics often causes organizations to put most of their market research budget on quantitative studies that result in trackable measurements. But deep insights into customers often comes from qualitative studies that examine why customers think and behave the way that they do. Look for places to explicitly fund more qualitative studies by cutting back on the least impactful quantitative studies.
  • Measure collective results. CX success requires efforts across an entire organization. So watch out for measurements that isolate the activities of individual people or teams. The narrower the measurements you use, the more likely you are to de-incentivize collaborative behaviors. Focus on metrics that capture real-world team-based activities.
  • Look for leading indicators. Most metrics represent backwards-looking scorecards, describing how an organization performed in the past. While a retrospective view can be helpful, it’s more valuable to understand what activities will impact your organization’s future CX trajectory. Use predictive analytics to identify what activities with different customer segments will most improve your CX metrics in the future.

The bottom line: CX insights don’t always require CX metrics.

Report: ROI of Customer Experience, 2018

ROI of Customer Experience (CX), 2018We just published a Temkin Group report, ROI of Customer Experience, 2018. Here’s the executive summary:

To understand the connection between customer experience (CX) and loyalty, we examined feedback from 10,000 U.S. consumers describing both their experiences with and their loyalty to different companies. The CX scores used in this model come from the 2018 Temkin Experience Ratings (TxR), which evaluated 318 companies across 20 industries. Our analysis shows that:

  • The correlation between CX and repurchasing is very high (Pearson correlation= 0.82).
  • There’s a 21-point difference in Net Promoter Score between consumers who’ve had a very good experience with a company and those who’ve had a very poor experience.
  • CX is made up of three components – success, effort, and emotion. While all three elements impact customer loyalty, an improvement in emotion drives the most significant increase in loyalty.
  • We built a model to estimate how a modest improvement in CX would impact the revenue of a typical $1 billion company across in 20 industries. On average, companies can gain $775 million over three years. Software companies stand to earn the most ($1 billion over three years), while utilities stand to earn the least ($476 million over three years).
  • The report contains data charts showing how loyalty levels change based on customer experience across 20 industries.
  • We also describe a five-step process for calculating the ROI of CX for your organization.

Download report for $195+
ROI of Customer Experience (CX), 2018

Here are two of the 14 graphics in the report:

Correlation between customer experience (CX) improvement and future purchase intentionsRevenue increase from improvement in customer experience (CX)

Download report for $195+ROI of Customer Experience (CX), 2018


Report Outline

  • Customer Experience Is Highly Correlated With Loyalty
    • Correlates with repurchasing
    • Links to Net Promoter Score
    • Significantly impacts emotion
  • CX Improvements Results: Up to $1.1B In Revenue Over Three Years
  • CX and Loyalty Across 20 Industries
    • Recommend a company
    • Repurchase from a company
    • Trust a company
    • Forgive a company
    • Try a new offering right away
  • Build Your Own CX ROI Model

 

Figures in the Report:

  1. Customer Experience Correlates to Future Purchase Intentions
  2. Customer Experience Correlates to Net Promoter® Scores (NPS®)
  3. Impact of SuccessEffort, and Emotion on Loyalty (Average Across 20 Industries)
  4. Elements Used in Model to Derive Revenue Impact Based on Improvement in Customer Experience
  5. Improvements in Customer Loyalty From Modest Improvements in Customer Experience
  6. Revenue Increases From A Moderate Improvement in Customer Experience
  7. Revenue Increases From A Moderate Improvement in Customer Experience (Details)
  8. Loyalty Differences Across CX Performance Levels
  9. Recommendations Based on Customer Experience
  10. Likelihood to Repurchase Based on Customer Experience
  11. Trust Based on Customer Experience
  12. Forgiveness Based on Customer Experience
  13. Try New Products Based on Customer Experience
  14. Steps for Calculating the Value Of Customer Experience

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ROI of Customer Experience (CX), 2018

CX Myth #2: You Need A 360-Degree View of Customers

CX Myths: Debunking Misleading Beliefs About Customer Experience

Many common beliefs about customer experience are misguided, based on oversimplifications or a lack of consideration for real-world constraints. In this series of posts, we debunk these myths.


CX Myth #2: You Need A 360-Degree View of Customers

What’s Wrong: If companies had an unlimited set of resources to plow into their customer insights efforts and an equally unlimited number of people prepared to take action on those insights, then shooting for a 360-degree view of your customers would be viable. But this is not the case for most organizations. So striving to understand everything about every customer (360-degree view) pushes organizations to over-invest in data and squeezes out the critical focus on taking action on the insights.

What’s Right: Organizations need to focus their insights efforts in areas where they are prepared to take action. Rather than aiming for a 360-degree view of all customers, organizations would be better served with a more targeted approach, focusing their insights investments on understanding key customer groups during specific parts of their journeys.

What You Should Do:

  • Separate the notions of Detect and Diagnose, which are two parts of the Six D’s of a Voice of the Customer Program. You can track the high-level feedback from a large number of customers (“Detect”) and then use those insights to identify areas where you should dig deeper to drive action (“Diagnose”).
  • Identify the actions that your organization is prepared or willing to take based on customer insights. This includes items across all four action loops: immediate response, corrective action, continuous improvement, and strategic change.
  • Define the target customers that you need to understand in order to support actions. This should include the type of customers and the specific stages of their journey that you’re most interested in understanding.
  • Make it as easy as possible for people across your organization to use the insights. Tailor the information to the specific ways that people in your organization make decisions. Minimize the requirement for non-analyst users to interpret and manipulate the data to uncover actionable insights.
  • Whenever you’re presenting customer insights, try not spend more than 20% of the time discussing data. Use the majority of the time talking about what the data means,  implications, opportunities for improvement, and next steps.
  • Help stakeholders across your organization understand new and more impactful ways that they can use customer insights to drive action. They may not immediately understand how to best use insights, so you may need to help them evolve through seven stages to a data-centric mindset.

The bottom line: Focus on developing the most actionable insights.

Report: Employee Engagement Competency & Maturity, 2018

Purchase report: Employee Engagement Competency & Maturity, 2018We just published a Temkin Group report, Employee Engagement Competency & Maturity, 2018. Here’s the executive summary of this annual review of employee engagement activities, competencies, and maturity levels for large companies:

To understand how companies are engaging their employees, we surveyed 178 large companies and compared their responses with similar studies we’ve conducted in previous years. We also asked survey respondents to complete Temkin Group’s Employee Engagement Competency & Maturity (EECM) Assessment. The EECM Assessment places companies in one of five stages of maturity and evaluates their performance across five employee engagement competencies: Inspire, Inform, Instruct, Incent, and Involve. Highlights from our analysis of their responses include:

  • Team leaders of non-customer-facing groups are the least supportive of customer-centric activities.
  • Nearly 70% of companies measure employee engagement at least annually, yet only 40% of executives consider acting on the results to be a high priority.
  • The top obstacle to employee engagement activities continues to be the lack of an employee engagement strategy.
  • While only 19% of companies are in the top two stages of employee engagement maturity, 49% are in the bottom two.
  • When we compared companies with above average employee engagement maturity to those with lower maturity, we found that employee engagement leaders have better customer experience, enjoy better financial results, have more coordinated employee engagement efforts, have more widespread support across employee groups, are more likely to act on employee feedback, and face fewer obstacles than their counterparts with less engaged workforces.
  • You can use the results of the EECM Assessment to benchmark your own employee engagement activities.

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Here’s an excerpt from two of the 19 graphics that shows the maturity levels of employee engagement efforts in large companies and their effectiveness across five employee engagement competencies:

Employee Engagement Competency & Maturity ModelEmployee Engagement Competency & Maturity Levels of Large Organizations

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Report Outline:

  • Employee Engagement Efforts Are Underway
  • Assessing Employee Engagement Competencies and Maturity
  • Employee Engagement Leaders Versus Laggards
  • Propel Your Employee Engagement Efforts

 

Figures in the Report:

  1. Importance of Employee Engagement and Customer-Centric Culture
  2. Support For Customer-Centric Activities
  3. Employee Engagement Measurement
  4. Overview of Employee Engagement Activities
  5. Employee Engagement Obstacles, 2016 to 2018
  6. Employee Engagement Competencies and Maturity Levels
  7. Employee Engagement Competency & Maturity Assessment
  8. Results From Employee Engagement Competency Assessment
  9. Results From Employee Engagement Competency AssessmentBetween 2016 and 2018
  10. Highest Performing Employee Engagement (EE) Competency Elements
  11. Lowest Performing Employee Engagement (EE) Competency Elements
  12. Customer Experience and Financial Results: Employee Engagement Leaders Versus Laggards
  13. Organizational Culture: Employee Engagement Leaders Versus Laggards
  14. Executive Priorities: Employee Engagement Leaders Versus Laggards
  15. Overview of Employee Engagement Activities: Employee Engagement Leaders Versus Laggards
  16. Employee Engagement Measurement: Employee Engagement Leaders Versus Laggards
  17. Support For Customer-Centric Activities: Employee Engagement Leaders Versus Laggards
  18. Employee Engagement Obstacles: Employee Engagement Leaders Versus Laggards
  19. Percentiles of Results From Temkin Group Employee Engagement Competency Assessment

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