Is your strategy built on received wisdom or analysis of performance data? – management rhetoric or business reality?
Are you building your business strategy on received wisdom or real data? Corporate strategies are often based on assumptions about what drives business performance rather than data from the company itself. J.W. Marriott (founder of Marriott Hotels) is famous for saying “You’ve got to make your employees happy. If the employees are happy, they are going to make the customers happy”. TNT Express promotes the slogan “Take care of your people, let them take care of your customers and the rest will take care of itself”. The implication is that happy employees make happy customers, which drive profits. But does this really happen in your organisation?
The problem is that often some drivers of performance aren’t measured at all; let alone the correlations between them. For example, you may believe that loyal employees create satisfied, loyal customers, but do you have data which demonstrates that your longest serving staff create the highest levels of customer loyalty? Another assumption is that loyal customers are the most profitable; we’re often told ‘it is five times more profitable to serve existing customers than loyal customers’. It makes sense. The better we know our customers the better we are likely to serve them. And because customer spend tends to increase over time, it may well be cheaper to serve long-term customers than keep attracting new ones. But, can you prove this is the case in your organisation?
Performance topology mapping is a tool that can help with this analysis. The first step is making sure that you’re measuring the right thing. So if your business is built on the assumption that employee loyalty is necessary to create loyal customers, collect loyalty data. Identify your key performance indicators, and then measure the correlations between them in order to build a map of business drivers.
The findings can be astonishing. For example, the link between customer loyalty and financial performance is often regarded as a basic principle of retail management. However when they came to explore the data in their own organisation, the management of one home improvement retail chain discovered that there was no such correlation. They could not prove that the stores with the most loyal customers were the most profitable.
Analysis of the performance topology map of one of the UK’s big four grocery superstore chains also revealed counter-intuitive results. Its management bought into the idea that satisfied employees created customer satisfaction which drove store profitability. But the data revealed negative correlations! In fact the stores with the highest levels of employee satisfaction were the least profitable. The explanation for this lay in the value proposition: customers in these stores did not value contact with staff so much as product availability, price and checkout speed. Therefore their shopping experience did not hinge on the quality of their interaction with employees.
In other businesses, of course, the interactions between staff and customers are likely to be much more critical. Take, for example, the professional services of clinicians or lawyers. Their services are based on more sophisticated interactions between staff and clients, and long-term business relationships may well be an essential part of the value proposition. Therefore employee engagement is likely to be a more important driver of profitability in professional services.
Understanding the performance drivers is crucial. Because failing to understand what drives profitability is to fail to understand why your company has succeeded… or indeed failed. The reality is that your business strategy is based on all sorts of assumptions about what investments will yield increased market share, revenue growth or profitability. To get the strategy right, better start testing those assumptions… surf the data wave!
About the Author
Dr. Rhian Silvestro is Associate Professor of Operations Management at Warwick Business School. Rhian has conducted service management research in a number of large, leading edge organisations including retail companies, banks, transport companies, health services and call centres. She has publications in over ten international journals in the fields of service design, performance improvement and supply chain integration.
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