Google’s Chrome User Experience Data in WebPageTest

This article assumes that you know the basics of AWS, WebPageTest, SSH, and at least one linux text editor.

Chrome User Experience Report logo + WebPageTest Logo + Core Web Vitals' LCP thresholds. Quite a busy hero image, I'll admit.

When talking to people about website performance stats, I’ll usually split it into Real User Metrics (RUM) and Automated (Synthetic/Test Lab):

  • RUM is performance data reported from the website you own, reported into the analytics tool you have integrated.
  • Automated are scripted tests that you run from your own performance testing tool against any website you like.

RUM is great: you get real performance details from real user devices and can investigate the difference in performance for many different options.

For example, iPhone vs Android, Mac vs Windows, Mobile vs Desktop, Chrome vs Firefox, UK vs US, even down to ISP and connection type, in order to see who is getting a good experience and who can be improved.

This data is invaluable in prioritising performance improvements, since you can tie it back to the approximate number of users it will affect, and therefore the impact on your business.

There are loads of vendors who can provide this for you (I’ve used many of them), or you can write your own – if you’re a glutton for punishment (and high AWS bills – ask me how I know…😁)

However, since this is measured on your own website and reported into your own tooling, you can only see such real-world performance detail for your own website; no real-world user experience data from your competitors.

Automated tests are great: you get detailed measurements of any website you can access – your own or competitors, or basically any website – in a repeatable fashion so that you can track changes over time.

You can have as many automated tests as you like, you can test from wherever you’re able to set up a test agent, and with whatever device you’re able to automate or emulate.

However, since these are all automated tests running because you said so, you can’t use them to understand how users are using your site, on which devices, what devices are underperforming others, and from where.

Again, there are a load of vendors who can provide this for you; writing your own is a bit more of a headache though – I wouldn’t recommend it, especially while wpt continues to be free for self hosting.

What if you could get some of the usual key performance metrics you’re used to with RUM, but for sites you don’t own such as your competitors?

In this article I’ll talk about the Google Chrome User Experience dataset and how to use it in your performance test setup to find the intersection of RUM and Automated performance test results, wiring it all up into your WebPageTest setup! Continue reading

Virtual Shop Assistant Chatbot with Amazing Image Recognition

There has been some significant progress in “deep learning”, AI, and image recognition over the past couple of years; Google, Microsoft, and Amazon each have their own service offering. But what is the service like? How useful is it?

Everyone’s having a go at making a chatbot this year (and if you’re not, perhaps you should contact me for consultancy or training!) – and although there are some great examples out there, I’ve not seen much in the e-commerce sector worth talking about.

In this article I’m going to show you a cool use case for an image recognition e-commerce chatbot via a couple of clever APIs wired together by botframework.

Continue reading