One of the most important steps in developing any digital project is defining what success means is. Because we have the possibility to measure virtually everything, it’s easy to get caught in the trap of measuring all the wrong things. We often throw these numbers around and, of course, the bigger the number is, the more impressive it is. We tend to do this with almost everything nowadays! Page views, email subscribers, instagram followers, funding raised, revenue, and even numbers of employees. Big is better, right? Don't get me wrong, in some cases big is better - like profit, but in some cases it's just vanity metrics.
The only metrics that entrepreneurs should invest energy in collecting are those that help them make decisions. Unfortunately, the majority of data available in off-the-shelf analytics packages are what I call Vanity Metrics. They might make you feel good, but they don’t offer clear guidance for what to do.
When you hear companies doing PR about the billions of messages sent using their product, or the total GDP of their economy, think vanity metrics. But there are examples closer to home. Consider the most basic of all reports: the total number of “hits” to your website. Let’s say you have 10,000. Now what? Do you really know what actions you took in the past that drove those visitors to you, and do you really know which actions to take next? In most cases, I don’t think it’s very helpful.Eric Ries on Tim Ferriss
With all of the tools available showing us all the charts, how do we know which are useful and which are just vanity metrics? Hint: the answer is right there in the question — "u-s-e-f-u-l." Metrics that help us make decisions are useful, metrics that can't be used to make actionable steps are vanity metrics.
It all comes down to one thing: does the metric help you make decisions? When you see the metric, do you know what you need to do? If you don’t, you’re probably looking at a vanity metric. Vanity metrics are all those data points that make us feel good if they go up but don’t help us make decisions.Neil Patel - Metrics, Metrics On The Wall, Who’s The Vainest Of Them All?
While other areas have it easier to measure their progress in numbers, UX is still tougher to tackle. Because UX is so difficult to measure, we still struggle to define our value to organizations who could benefit from our work.
Business metrics are often tied directly to dollars and cents, so it's a metric almost everyone understands. Improved sales and reduced costs equal profit and everyone loves money. If it's a business that relies on technology they already have tons of stuff they measure. Reduced server loads, faster software, and less latency are all things that while not everyone in the public truly understand them, most understand them as a good thing.
But UX, and design in general, is harder to tackle. One way to measure its effect is through the HEART framework, designed by Kerry Rodden, Hilary Hutchinson, and Xin Fu from Google’s research team.
To make this work in practice it’s important to use the right metrics. Basic traffic metrics (like overall page views or number of unique users) are easy to track and give a good baseline on how your site is doing, but they are often not very useful for evaluating the impact of UX changes. This is because they are very general, and usually don’t relate directly to either the quality of the user experience or the goals of your project — it’s hard to make them actionable.How to choose the right UX metrics for your product
The framework is a kind of UX metrics scorecard that’s broken down into 5 factors:
- Happiness: How do users feel about your product? Happiness is typically measured by user satisfaction surveys, app ratings and reviews, and net promoter score.
- Engagement: How often are people coming back to use the product? Level of user involvement, typically measured via behavioral proxies such as frequency, intensity, or depth of interaction over some time period. Examples might include the number of visits per user per week or the number of photos uploaded per user per day.
- Adoption: How many people successfully complete the on-boarding process and become regular users? Adoption is measured by number of new users over a period of time or percentage of customers using a new feature.
- Retention: The rate at which existing users are returning. You can measure how many of the active users from a given time period are still present in some later time period. As a product owner, you may be more interested in failure to retain, commonly known as “churn.”
- Task success: Can your users achieve their goal or task quickly and easily? Task success is measured by factors like efficiency (how long it takes users to complete the task), effectiveness (percent of tasks completed), and error rate.
Using the HEART framework gives you a better understanding of the user and their relationship with the product. The nice perk of this is that it can be applied to a single feature in your app or to your whole product. It gives you the option to measure just what you need to at any moment.
Informed by data, driven by empathy
We’re told all design decisions must be validated by user feedback or business success metrics. Analytics are measuring the design effectiveness of every tweak and change we make. If it can’t be proven to work in a prototype, A/B test, or MVP, it’s not worth trying at all.
In this cutthroat world of data-driven design, we’re starting to lose sight of something we once cherished: the designer’s instinct. “Trusting your gut” now means “lazy, entitled designer.” When we can ask users what they want directly, there’s no room for instinct and guesswork.
Or is there?
As we have access to all of this data, and the general consensus is that data should lead the way, I'm confused by what the future role of a designer is. What I truly like about the HEART framework is that while the output of it is informed data, it's all done through the eye and mind of a human. Just like we need to be careful to not measure everything just because we can, we need to remember that in order to really understand human's behaviors, we need to talk with them, not just look at charts. Charts are great for an overview, but human insight is the best way to understand the underlying reason for the chart's direction.
Some companies have already started to realise that data alone can’t answer all the questions they need answered. Booking.com put “Informed by data, driven by empathy” in their design guidelines.Measuring and Quantifying User Experience
How do you get from the HEART categories to metrics you can actually implement and track? Unfortunately, there’s no off-the-shelf “HEART dashboard” that will magically do this for you. The most useful metrics are likely to be specific to your particular product or project. Personally, I like to start bigger projects with a UX Strategy. This UX Strategy should define what the most important tasks and metrics for your product is, and consequentially, what failure looks like. How might success or failure in the goals actually manifest itself in user behavior or attitudes? For YouTube, an engagement signal might be the number of videos users watch, but an even better one could be the amount of time they spend watching those videos. A failure category for YouTube Search might be entering a query, but not clicking on any of the results.
Even fashion brands are using data to design products that will meet customers demands better:
“You never design by data, but the data provides a compass as you’re navigating a hunch.”Analytics are reshaping fashion's old-school instincts
So while we as designers might not get the out-of-the-box dashboard with all the charts ready for us to act on, there are tools and techniques that we can use to get the information needed for us to act upon to get a confident start. Let me know if you need help getting started!