Evidence Based Service – The How is harder than the Why
Service organizations would perform better if leaders applied the best evidence. I’ve dedicated several posts to this subject. It’s a great concept and it’s another thing to do it.
Some experimentation is easy – for example like what Yahoo! does on its homepage where they typically run over 20 experiments at a time, changing things like colors, placement of ads and location of text or buttons. Outcomes of these experiments can have a huge effect – like moving the search box from the side to center of the home page generated enough click-throughs to bring in about $20M more revenue a year.
But this requires a mind-set shift–instead of debating which screen design or content works better, you gotta try it, and analyze the results to see what works.
#1–Treat your service offering as an unfinished prototype. Baseline your performance. Then try to vary something and measure how you do – trying something half baked quickly with the data at hand is often much better than just waiting until you have all the data you need as the urgency to react may have passed.
#2-Don’t get blindsided by corporate mantra, and organizational half-truths. Many service organizations are managed based on industry best practices, and historical precedence. Base your decisions on just data. Understand what works for you and your customers and do a root cause analysis to understand why changes you have made work or don’t.
#3-Look at yourself using your customer’s eyes. Do a mystery shopping exercise on your site, and document your strengths and weaknesses. Look at your competitors and see what they do. Do it in a systematic, scientific way, not based on emotion.
You can apply evidence based service at a micro or macro level-to a simple installation and tuning of a product–for example a new ERMS system. And, you can apply it to optimize a particular service offering, or transform your complete service offering to the next level of operational maturity