Friday, May 28, 2021

Measure Customer Experience ON THE GO - Concept, Model and Example

 

Every organization is trying to capture the frontier of customer experience and making strides in various directions. New technology, tools and their applications are being summoned in unique manner for it. Secret algorithms are being built to decipher the data available in the universe intelligently and use it proactively to create the differentiated experience for the customer. Everything with a hope that customer will get hooked to this good experience and demand it again and again.  

In this endeavor, the most critical part is to measure where does a company stand with respect to customer experience provided to a specific customer or a group of customers and if this experience is changing in positively or otherwise. Multiple ways are being used by companies to tackle this puzzle and we have seen some of the approaches in my earlier blogs

https://personalandprofessionalexcellence.blogspot.com/2019/11/customer-experience-measurement-stand.html,

https://personalandprofessionalexcellence.blogspot.com/2019/11/customer-experience-measurement-direct.html

https://personalandprofessionalexcellence.blogspot.com/2019/12/customer-experience-measurement-past.html

Today, I am going to present a model, which when implemented by an organization allows it to measure the Customer Experience and its movements on a continuous basis. We can call it CX ON THE GO. I am sharing the Concept, Model, and an Example here for easy understanding.

Concept:

Whenever we interact with a customer, it could be IT department with Business Users or it could be Sales Person with Customer (B2B or B2C scenario) or it could be HR department with Employees; every interaction provides some kind of experience to customer. This gets refined through subsequent interactions in +ve or -ve direction with every interaction. If the individual customers from the customer organization interact with each other e.g. sourcing manager, technical manager, finance manager in an organization, the experience gets a further tweak. This is a continuous process. At the time of decision regarding award of a contract or purchase of a product, the customer experience level at that time plays a significant role.

If we build a mechanism to create a base line for customer experience and then measure its movement based on every interaction, we would be in a position to create mitigation measures in case of adverse trend and can avoid surprises at the end.

For successful results, the mechanism should be easy to use as well as applicable to multiple industries and situations. It should not create any burden on customer as well as provider e.g. surveys, where participation is low, participation may not represent the population, is influenced by the recent developments, and require significant follow up. Finally, it should not be expensive to implement. The model presented in the next section has all these characteristics and can provide a great insight in the Customer experience and its movements on the go.

The Model

In my model, I have used “Customer Meetings” as a focal point. Customer meetings are the key drivers for creating experience. They act as a mirror to observe what experience has been provided during this meeting as well as how it is trending from past interactions. In most of B2B scenarios, interactions happen with customer at multiple levels.  Each meeting has a stated objective like periodic status review, new idea/product discussions, business review, etc. The product / service providers always look to improve the experience they provide to customer so that they get a chance to sell extended range of products or services. The Service provider uses multiple tricks to assess if customer wants to engage in areas beyond and understand the pulse from reactions customer provides during the meetings. If we capture this interaction and aggregate across multiple meetings, we will be able to see the movement of customer experience after every meeting. This data can be analyzed at multiple levels in customer hierarchy or Product /service category or time line to understand the composition of customer experience we are providing to our customer.  


The model works with a points system for recording various observations in the meeting. If we achieve the stated objective of the meeting well, then we give Zero points. This is the base line for customer experience which denotes that we are doing stated work as required. Then we identify other things that can happen during the meeting e.g. Customer was unhappy for something, then we give a -1 point indicating experience has deteriorated to some extent. If customer is very happy about something and hints that he is open to give more work or buy more products, this indicates an improvement of experience customer is getting from us and thus we give +1 points. With this concept in mind, we create a complete table of possibilities and their impacts and use it for assessing all the meetings. Some of the impacts could be higher e.g. Customer awards new work or places an order then the impact could be rated at +2 or customer takes away some work from us or returns some products then the impact could be -3. We observe the meeting and fill in the list with observation and net score is calculated. If the score is +ve, we have improved from the base expectation and vice versa if it is -ve.

We then look at what was our score at previous meeting and can compare if we are doing better or worse. We can plot a trend after every meeting to give us an idea of direction which we are taking and possible direction and implications in the future.

We can also take an average of multiple meetings with multiple stakeholders of customer and look at overall picture or compare the results at a certain group level to give us understanding of experience level within different organization units of customer or different levels within customer organization.

Every organization has to prepare this template of possible situations in the meeting and then the teams have to just populate it after every meeting and get the customer experience level on the go. No additional survey, no additional work, no follow up and process can be automated to get the analysis at various levels as soon as an entry is made after every meeting (This could be part of debriefing session, which is part of regular process at most of the organizations).

The example in the next section provides clear idea on how to create the template for each organization and use it.    

Example:

Let us consider an IT Service provider providing services to a Customer. (we can replace IT service provider by IT department of an organization and Customer by Business users). Let us assume that IT service provider is supporting customer in supply chain area for a long time through ERP and digital initiatives. Customer is very happy and willing to give more work. IT service provider also has started a project in Finance area which they got through recommendation from Supply chain leadership. This is not going as well as the other project and IT service provider struggled in the beginning. IT service provider is also trying to get into Infrastructure/cloud area through an RFP and wanted to understand what the temperature at customer end is and how it is going to influence result of the RFP.

As a mature organization, they have a good cadence of formal and informal meetings like weekly meetings at various project level, monthly meetings as well as quarterly reviews. Typically, Delivery teams attend weekly meetings and Sales team joins them for monthly and quarterly meetings. Various leaders join from both organizations as appropriate. Sales team and Client Executive have several other meetings related to new opportunities and offerings etc. IT service provider is completely focused on growing this account multifold and are looking for all the help they may get.

The IT service provider decided to use the model described in the earlier section to see how they are doing with respect to Customer experience on an ongoing basis.

First and foremost thing of the model is to create a points template which could be used to record the meeting proceedings. They identified various situations / conversations that can occur during the meeting and what it meant in the context of customer experience. They also identified the degree of impact that each one would have. Then allocated points for each situation. The table shows the template which was created. E.g. There might be an escalation in the project and discussion around the same in the meeting. There is a possibility that escalation would be discussed along with other things or there could be discussion only on escalation. This depicts gravity of escalation, greater time devoted means higher impact on the customer experience. Keeping this in mind, the points are assigned. This template was prepared and filled in by the company after every meeting to see what the score is.


The table below provides an illustration of how this template was used for Project 1, in Supply Chain area. 


One column was filled in after every meeting. Similarly, the template was completed for the second project. These when plotted on the graph provide us clear indication of the trend for customer experience.

The blue line in the graph indicates the movement for Project 1. The graph is above the base line which means we are providing better customer experience and it is improving. Whereas the second project which started on rough patch created heart burn with customer and it reflected in the graph which started in the -ve zone (Red Line). The team has worked well and over a period of 4-5 weeks the situation seemed to have improved. The Gray line represents overall picture combining the experiences provided by both the projects. This overall picture is critical to understand where the wind is blowing.

The second Graph provides us trend based on monthly meetings. Monthly meetings are attended by wider and senior audience.


It can provide a lot of insight into the perception at leadership level. Many a times a single challenging project does not really have impact on overall CX, which seems to be a case here. But sometimes a challenge in critical project can create significant dip. This reflects clearly in the monthly meetings. When we compare weekly and monthly trends, we can make out what is in the mind of customer.

The example given is a simple example with two projects. Many a times, there are large number of projects and each one will have its own impact on overall customer experience that customer carries for services provided to them. This tool helps in understanding these impacts as and when they happen. Automation of analysis can provide the dashboard to leadership in terms of how the customer experience is trending in real time

This process could be further enriched by including meetings other than project meetings like sales meetings, idea presentation meetings to get a broader perspective of the CX that customer is having from services provided.

Summary

The model presented here uses customer meetings as a central point to understand customer experience level. The points template is a powerful tool to gather the information. It looks and is very simple to understand and implement. Once the information is gathered from every customer meeting, various techniques could be used to assess Customer experience and its trends from multiple view points as well as build intelligence in to it.

Monday, February 1, 2021

Customer Experience Life cycle – Is it still valid in Covid-19 era and beyond?

We have seen in earlier blogs that Customer Experience depicts characteristics of a new product and has a lifecycle similar to a product lifecycle.


Just to recap quickly; It has four stages,

·       Introduction,

·       Growth,

·       Maturity and

·       Decline.

During Introduction phase, a new CX initiative is implemented by an organization which starts getting noticed by customers through the experience they get during various transactions with the company. During this stage, the pace of receiving new customer experience is slow and sporadic. People start talking about this new experience in person as well as on social media and the rate at which customer throng to get this experience increases significantly. Advertisement by the company about the change also helps picking up the rate. This is the growth phase. This hype creates a pull for new customers to try out new experience and presents significant potential for the company to acquire these customers and retain them for long term. More customers connect with company, do more and more transactions and provide a positive impact on the overall revenue as well as revenue per customer. When the initial euphoria of new experience is over, the customers start expecting this experience to be available every time. This results in slowing down speed of adding new customers and transaction volume remaining steady. We are now in Maturity phase. This phase also keeps customer experience more or less at same level. This phase also faces a challenge in terms of competition trying to start initiatives to give same or better experience. The customers are in two minds but most of them continue. However, some of the customers start building a customer experience fatigue i.e., the experience, which thrilled them some time ago does not excite them anymore and they start looking for something better, something different. They then start losing interest and try out a different experience offered by competitors and company start losing customers along with the revenue. The decline begins. If company does not take any action, the decline continues, resulting in loosing customers and revenue.

In this blog we are going to examine if this cycle works in abnormal situations like COVID-19. We will also extrapolate if it will work, and if it works how it will manifest, in post COVID-19 scenario as well.

Let us take example of grocery shopping and its evolution from perspective of consumer and seller. When COVID-19 started spreading like wildfire and fatalities started mounting, entire population was gripped with panic without knowing what to do. Everyone wanted to be safe from getting infected. So experience of “Safety” was paramount in the minds of customer which moved them in hordes to sellers who were providing them this experience i.e. “Home Delivery”. The customers were ready to pay additional money to get the experience they desired. They let go their brand choices, which they were particular about in the pre-COVID-19 scenario, for the sake of safety. Looking at the significant shift (growth in volumes) due to Home Delivery, most of the companies launched Home Delivery option and provided “safety” option to customer. Customer now had choice of sellers who can provide him his needs and in safe manner. Now the brand choices started coming back and customer started splitting the orders so that they get the products of their choice. This resulted in reducing in volume for some. To enhance this experience, few more variants came in to play like Free Delivery, Same-day delivery. This intervention compelled a few more customers who were apprehensive of Delivery charges as well as who wanted specific item urgently; and volumes started increasing for a few sellers. Some other sellers started giving another experience of “Curb Side Pickup” which is safe and from your neighborhood stores, your loyalty points counted, you get the products you are used to and care you were used to. This initiative also shifted the loyal customer base back to the stores and with development of “Same-day pick up” or “2-Hour pick up” it was almost like old times. Now the situation is most of the grocery sellers have all the services like Free home delivery, Curbside pick up etc. and every one can provide the same experience to customer. These things have become a norm and customer expects the same with every seller. There was one thing to which customer had turned a little blind eye in the quest for their need of “Safety” which was price, they were paying some additional money for every product, although it was few cents per product, but total bill was higher; there was almost no SALE or MARKDOWN on prices anymore. Customers were OK with this with an expectation that COVID-19 is an aberration for a few months and things will be back, which unfortunately has not come true. We have completed almost a year in this situation and with no clear end in sight. We have also observed that consumption of store brands increased as compared to national brands due to availability and cost considerations. Now all the sellers are almost on equal footing as they were prior to pandemic (with some exceptions), the original differentiation has started playing again and some of the Grocery chains have started price reductions to attract the customers and other old tricks.

If we observe all these happenings in last one year, we can see the Customer Experience life cycle in full play. As a seller creates intervention for satisfying the customer need of “Safety” and give a great experience to him, the seller saw a jump in customer base and volumes (Introduction).


Social media played a significant role in terms of spreading the word about the facilities provided by a seller to bring in more and more customers to its fold (Growth). Observing this trend, the competitors jump on the bandwagon and create similar initiatives, customers have a choice, and they start experimenting (Mature). Some customers get used to the earlier experiences and like newer experience provided by competition or want to go back to their favorite seller and start moving away. To address this CX fatigue, the seller launches another initiative (Same Day Curb Side pickup) to take experience to another level. The cycle continues.   

This manifestation of gives us a glimpse of what to come in future after the population at large gets grasp on the COVID-19. We can easily extrapolate how the CX cycle will play out. During the COVID-19 pandemic grocery chains rolled out a slew of initiatives in the areas of Home delivery, Curb Side pick-up, Safer stores etc. in their unique way. By the time we get an upper hand over COVID-19, these initiatives would become part of basic services any grocery chain should provide. The grocery chains will have to look at multiple different initiatives beyond “Safety” aspect and differentiate their products/services so that they can attract more and more customers and revenue. To name a few, it could be “Great in-store experience”, “Personalized home or anywhere delivery”, “Restaurant style pick up of gourmet food to your order while you shop”. We will continue to see the CX cycle playing out, extensions created.  

If we look at another critical intervention that happened on the work front is “Work from Home”, “Safety” at core. The companies who were able to address this need successfully and created investments have been able to survive/thrive in the pandemic. This has resulted in significant flexibility in customer service without actually meeting customer in person. Today this model is forced on everyone, but will definitely be part of offerings of many companies going forward. Customers will be expecting providers to use this model and create a great value for customer beyond just “lights-ON” or “cost benefit”. We have already seen certain offerings (CX interventions) from a few organizations addressing this challenge and will see many more as go forward

 

In conclusion:     

Customer Experience Life Cycle is clearly seen operational in preCOVID-19 era as well as during COVID-19. It is expected that it will play out in post COVID-19 era also. So organizations can really look at what interventions they are planning and their timing to ride the CX fatigue as well as address the challenges thrown by competitors. Differentiated Needs Pyramid could be used understand the unique / differentiated customer needs and create targeted interventions     

 

Reference:

CX Life Cycle management for continuous improvement in Customer Experience and Revenue/customer

https://personalandprofessionalexcellence.blogspot.com/2019/07/cx-life-cycle-management-for-continuous.html

Customer Experience Improvement using Differentiated Needs Pyramid (Maslow’s theory)

https://personalandprofessionalexcellence.blogspot.com/2018/03/customer-experience-improvement-using.html

Predictability in Customer Experience Improvement – A Perspective for Grocery Retail Industry

https://personalandprofessionalexcellence.blogspot.com/2019/07/predictability-in-customer-experience.html?_sm_au_=iVV4Rtj4p0NLfDVr