Monitoring User Experience Through Product Usage Metrics

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Introduction

User experience (UX) teams have many types of data at their disposal to ascertain the quality of a digital product’s user experience. Traditionally, these sources have focused on direct customer feedback through methods such as interviews and usability studies, as well as surveys[1] and in-product feedback mechanisms. Beyond survey methodologies, however, it can be time-consuming to create a recurring channel of in-depth UX insights through these traditional UX research methods because they require time to conduct, analyze, and create reports of findings.

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How to Avoid UX Burnout

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As I watched the app go live in across the various app stores I felt exhausted.

The steps leading up to the launch had been intense, involving multiple stakeholders, scores of different user personas, and innumerable iteration cycles spread across a multitude of design teams. We shipped the project on time and shared high-fives all around, but after the dust had settled, I realized how truly tired each step of this project had made me.

After the launch, I was all UX’ed out. Even the sight of a Post-It note felt exhausting. Attributing the fatigue to creative block, I planned to take a few days off to recharge. But because my version of “recharge” also means “process everything,” I also decided to write an article for creatives about how to deal with this kind of block.

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10 Practical Tips for Increasing the Impact of Your Research Insights

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User experience (UX) researchers tasked with improving customer-facing products face many challenges on a daily basis—perhaps none more daunting than translating their research insights into positive change. This article presents 10 tips I have learned over the course of my career to help UX researchers increase the impact of their research insights in applied settings. These tips are intended primarily for in-house research teams, but they may apply to consultancies as well.

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Method Mondays: Never Stop Learning

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Benjamin Franklin once said: “Tell me and I forget; teach me and I may remember; involve me and I learn.”

At the SAP Design & Co-Innovation Center (DCC), we frequently organize the so-called “Method Mondays,” a regular one-hour meeting series in which the team members share, practice, and test different methods.

In this article, I would like to share the five methods with you that work best for us—they’re worth trying!

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User Research With Small Business Owners: Best Practices and Considerations

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The majority of our work at Google has involved conducting user research with small business owners: the small guys that are typically defined by governmental organizations as having 100 or fewer employees, and that make up the majority of businesses worldwide.

Given the many hurdles small businesses face, designing tools and services to help them succeed has been an immensely rewarding experience. That said, the experience has brought a long list of challenges, including those that come with small business owners being constantly on-call and strapped for time; when it comes to user research, the common response from small business owners and employees is, “Ain’t nobody got time for that!”

To help you overcome common challenges we’ve faced, here are a few tips for conducting successful qualitative user research studies with small businesses.

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Unleash Your Visual Superpower!

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From start-ups to banks, design has never been more central to business. Yet at conference after conference, I meet designers at firms talking about their struggle for influence. Why is that fabled “seat at the table” so hard to find, and how can designers get a chair?

A superhero, partially wireframed and partially illustrated.
Designers have the magical ability to visualize the future.

Designers yearn for a world where companies depend on their ideas but usually work in a world where design is just one voice. In-house designers often have to advocate for design priorities versus new features or technical change. Agency designers can create great visions that fail to be executed. Is design just a service, or can designers* lead?

*Meaning anyone who provides the vision for a product, whether it be in code, wireframes, comps, prototypes, or cocktail napkins.

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How to Determine When Customer Feedback Is Actionable

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One of the riskiest assumptions for any new product or feature is that customers actually want it.

Although product leaders can propose numerous ‘lean’ methodologies to experiment inexpensively with new concepts before fully engineering them, anything short of launching a product or feature and monitoring its performance over time in the market is, by definition, not 100% accurate. That leaves us with a dangerously wide spectrum of user research strategies, and an even wider range of opinions for determining when customer feedback is actionable.

To the dismay of product teams desiring to ‘move fast and break things,’ their counterparts in data science and research advocate a slower, more traditional approach. These proponents of caution often emphasize an evaluation of statistical signals before considering customer insights valid enough to act upon.

This dynamic has meaningful ramifications. For those who care about making data-driven business decisions, the challenge that presents itself is: How do we adhere to rigorous scientific standards in a world that demands adaptability and agility to survive? Having frequently witnessed the back-and-forth between product teams and research groups, it is clear that there is no shortage of misconceptions and miscommunication between the two. Only a thorough analysis of some critical nuances in statistics and product management can help us bridge the gap. Continue reading How to Determine When Customer Feedback Is Actionable

Your Guide to Online Research and Testing Tools

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The success of every business depends on how the business will meet their customers’ needs. To do that, it is important to optimize your offer, the website, and your selling methods so your customer is satisfied. The fields of online marketing, conversion rate optimization, and user experience design have a wide range of online tools that can guide you through this process smoothly. Many companies use only one or two tools that they are familiar with, but that might not be enough to gather important data necessary for improvement. To help you better understand when and which tool is valuable to use, I created a framework that can help in your assessment. Once you broaden your horizons, it will be easier to choose the set of tools aligned to your business’s needs. Continue reading Your Guide to Online Research and Testing Tools

Online Surveys On a Shoestring: Tips and Tricks

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Design research has always been about qualitative techniques. Increasingly, our clients ask us to add a “quant part” to projects, often without much or any additional budget. Luckily for us, there are plenty of tools available to conduct online surveys, from simple ones like Google Forms and SurveyMonkey to more elaborate ones like Qualtrics and Key Survey.

Whichever tool you choose, there are certain pitfalls in conducting quantitative research on a shoestring budget. Based on our own experience, we’ve compiled a set of tips and tricks to help avoid some common ones, as well as make your online survey more effective.

We’ve organized our thoughts around three survey phases: writing questions, finding respondents, and cleaning up data.

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A Beginner’s Guide to Web Site Optimization—Part 3

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Web site optimization has become an essential capability in today’s conversion-driven web teams. In Part 1 of this series, we introduced the topic as well as discussed key goals and philosophies. In Part 2, I presented a detailed and customizable process. In this final article, we’ll cover communication planning and how to select the appropriate team and tools to do the job.

Communication

For many organizations, communicating the status of your optimization tests is an essential practice. Imagine if your team has just launched an A/B test on your company’s homepage, only to learn that another team had just released new code the previous day that had changed the homepage design entirely. Or imagine if a customer support agent was trying to help users through the website’s forgot password flow, unaware that the customer was seeing a different version due to an A/B test that your team was running.

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