What is a Customer Experience Diagnostic and How Can it Help You?

Contact centre change rarely starts with technology, it starts with a problem. Whether that's calls taking too long, customers that keep coming back with the same issue, or agents leaving faster than they can be replaced. 

The natural instinct is to reach for a new system as the fix. It's visible, easy to budget for and simple to justify in a business case. But it only fixes what you can see, and that isn't always what's causing the issue. 

Research suggests around 70% of business transformations fail to meet their goals (McKinsey). Often, that's because organisations tackle what's visible rather than what's driving it. 

Contact centres are no different. Add AI to a broken process and you just get a faster broken process. The real issue is still there, whether that's one KPI quietly working against another or a channel nobody has reviewed in years. 

FourNet's CX specialists Lian Rowlands (Client Strategy Director), Sandip Patel (Senior CX Insight Analyst) and Lee Guttridge (Customer Experience Service Designer) sat down to discuss what a data diagnostic is, why we run one before recommending anything, and how to get from a hunch to a proven root cause. 

A diagnostic is the first step in FourNet's process and it works by reverse engineering the problem. Rather than starting with a solution, FourNet starts with the symptoms a client can already see and works back to the cause. As Lee explains, "not everyone knows the problem. Very often we can see the symptom." 

To do that, FourNet uses every source available: operational data, a mystery shop of the customer experience, stakeholder interviews and time on site with agents. Each one is useful on its own. But the real value comes from combining them into one holistic picture of the key themes. 

Take high abandonment rates for example. The usual assumption is that more staff will tackle that problem, which sometimes works, but often it doesn't. Finding the real cause means looking at why customers are abandoning, and following the people and the process all the way through. The answer is rarely the same in every contact centre. 

We believe that any organisation with a contact centre would benefit from a Data Diagnostic. Whether it's central Government, local Government, financial services or housing, FourNet follows the same methodology. What changes is the outcomes that you want from it.

Public and private sector organisations often arrive with different pressures. Councils and housing associations tend to face a lack of resource and budget, with pressure to reduce spend every year. Private sector organisations, particularly FCA-regulated businesses, are more often driven by customer demand and revenue. Here, the diagnostic might focus on outbound dialling or contact drivers, to understand why customers get in touch and where waste is happening. 

The desired outcome and goals of the project is the most critical aspect that we consider. 

When we start working with new clients, often they think that our recommendations will all lead to more spend; but we always start by looking for ways of improving performance without additional spend. We then provide a roadmap for further improvements through future investments, whether that is additional resource or technology. That mean's that it comes down to attitude and buy-in - when we consider if a contact centre is ready for a Data Diagnostic.  

As Lee puts it, when a client is willing to "be honest, listen to the feedback and make changes based on the recommendations", the diagnostic delivers results every time. 

Because we look at the contact centre from so many angles, it's very rare for a diagnostic not to find something that moves the needle. 

FourNet asks for data from CCaaS platform primarily, ideally at the most granular level with no filtering or pre-work. This matters because many contact centres don't have the governance in place to know how the figures in their own platform are calculated. 

That includes volumes and average handling time (AHT) across every channel, agent performance by contact type, tenure and quality data. In short, as Sandip (Senior CX Insight Analyst) says, "if you're in a contact centre and it produces some data, I will want to see that." 

The data then grounds each stage of our diagnostic process. Mystery shopping and on-site observations are largely anecdotal, so the data puts numbers to those theories and shows the true size of a problem. Think of it like a medical diagnosis, where the data is the blood test behind the symptoms. 

It isn't a one-off exercise either. FourNet reviews the data before going on site, then returns to it once the mystery shop and observations raise new questions. 

There's always a gap between what a contact centre thinks it's doing and what the data shows. Auto summarisation technology is a good example. It should cut wrap time by around 50 to 60%, because agents are no longer typing notes up themselves. When that benefit doesn't show up in the data, FourNet sits with agents to find out why. 

Often, agents follow the process perfectly while someone is watching, then fall back into old habits. As Sandip explains, "it's not a tech problem at that point. It's a people and process problem." This is rarely deliberate. It's the ‘this is what we've always done’ mindset, and it's why unfiltered data matters so much. 

The example above is a great example of why combining data and on-site work is so important. Data can only tell you so much, often it can highlight a problem, and then we can validate that on the ground. 

Mystery shopping puts FourNet in the shoes of the client's own customers. The aim is to feel what those journeys are like, and spot friction points, broken systems or processes, and demand drivers. 

It also fills a gap that CSAT scores can't. Customers usually complete a satisfaction survey when something has gone wrong, so results tend to skew negative. 

FourNet stress tests every touchpoint. That means mapping IVRs, testing self-serve options, web portals and online forms, checking response times and even searching Reddit for what customers are saying. The team thinks like a regular customer, but knows what best practice looks like. That's how the simple mistakes get spotted. A business might say it's inundated with calls, only for the contact us page to show the phone number first, ahead of every self-serve option. 

Sometimes the findings are simple but powerful. One client had a high abandonment rate on one of its call queues. Businesses rarely ring their own lines, so nobody had noticed there was no hold music. Callers heard silence, and many assumed the line had gone dead and hung up. FourNet didn’t wait for the final report and flagged it straight away. The client fixed it there and then, at no cost. 

The mystery shop fills the gap between the data and the on-site work. Lee compares it to a doctor asking about daily life, not just the symptoms: "your back's hurting, but how are you sleeping?" 

Preparation starts weeks before. A pre-site call covers logistics, the agenda and who needs to be available, such as the head of planning or head of MI. FourNet encourages clients to be flexible on the day, so the team can follow anything unexpected, while respecting that people have a day job. 

On site, FourNet works with the people who make decisions, from team leaders and operations managers upwards. The focus is on whether the information they receive is accurate and timely, and whether team leaders can see performance in the right way. Most contact centres are managing conflicting KPIs, such as improving quality while reducing AHT. FourNet's aim is to simplify this,as Sandip puts it, "manage to one or two numbers, and if those two numbers are out, then go and deep dive." 

FourNet also works closely with leadership outside of the contact centre and agents. Stakeholder interviews with leadership come first, to understand their aspirations, values and ethos. Only then does the team sit with agents, with the data and mystery shop findings already in hand. 

This isn't a QA exercise. FourNet isn't there to score agents or judge whether they're doing a good or bad job. The focus is on what agents struggle with, from processes and systems to how they handle wrap time, hold and questions a knowledge base could answer. Sometimes agents working outside the process are doing a better job, and that can be shared as best practice across the business. Clients are the experts in their own industries. FourNet is there to help with the contact centre. 

The data and the observations also need to talk to each other. In housing, the data typically shows an average of 1.8 reasons for contact per call. Sitting with agents, it's often three or four. That gap raises a clear question about how contact reasons are being recorded. 

A report, not a presentation. The report opens with a high-level overview of the themes. These bring together the data, mystery shop findings, stakeholder interviews and on-site observations to show the problems behind the symptoms. 

Next comes the evidence. FourNet scores between 150 and 200 KPI benchmarks, depending on the client's channels. These are condensed into around 25 bundles, then into four areas: workforce management, data, the contact centre itself (including vulnerability, training and whether people enjoy working there) and channels. Together, these create a single score, the FourNet Maturity Index, which runs from 1 to 4 (best in class). 

The report closes with recommendations, grouped by how disruptive they are. Enhance covers low-cost or free changes that get more from existing systems and processes. Augment adds something on top of what the client already has, to improve employee and customer journeys. Replace means taking something out and replacing it. This usually has the biggest impact, but it's also the most disruptive. 

Instead of hiring a team of specialists, clients gain direct access to experts with decades of experience across data, interaction analytics, AI, automation, customer success and journey mapping.  

The diagnostic is designed to fit around day-to-day operations, with minimal disruption to customers, advisors and management teams. Most of the work is carried out through data analysis, stakeholder interviews, workshops, mystery shopping and on-site observation, allowing the contact centre to continue operating as normal. 

The focus is always on outcomes, not technology. Before recommending new systems or additional investment, FourNet looks for opportunities to improve performance using existing processes, resources and technology. In many cases, organisations can achieve meaningful improvements before spending a pound on new tools. 

FourNet backs its recommendations with commercially underwritten outcomes. If an organisation moves ahead with a FourNet-led transformation and those outcomes aren’t delivered, FourNet covers the cost of the consultancy. As Sandip puts it, “We are invested in them as much as they are going to invest with us.”