Resources > Articles

What We Can Learn with UserTesting During COVID-19

Author
Coronavirus Test Station

UserTesting During COVID-19

What We Can Learn with UserTesting During COVID-19

This article is based on a recent podcast. Listen to it here

 

How can you see the signs of a changing business climate and shift strategy before you actually have to feel the effects of it?

 

Michael Mace, VP of Strategy from Usertesting has a couple of ideas. In fact, in order to understand how your market is changing, you must first understand how to listen to it. Whether it’s through industry analytics or associated trends, one thing is certain; if you’re not listening to your market, you’re not going to be successful.

 

Usertesting was traditionally created as a tool for web developers to get fast feedback, in real-time to make well-informed decisions without slowing down their process. In recent times, however, Usertesting has blossomed into a place for immediate feedback on every kind of quant/qual research imaginable, allowing researchers to make well-informed decisions almost instantaneously.  

 

Now, with the spread of the global pandemic COVID-19, Usertesting is being utilized more than ever as sample sizes are desperate for interaction and researchers are frantic to understand the affected buying patterns of their customers.

 

So how can we use this data to understand not only how people are reacting, but why? Sure it’s by measuring things like metrics, URLs, and click paths, but Usertesting also cites the importance of what they call “thinking out loud”. This technique encourages their users to walk through the reasoning behind their choices. This then allows a researcher to gain the useful information behind human thought-patterns that most survey and data companies are often lacking.

 

However we acquire the research, one thing is certain, gaining these useful data insights allows companies to pivot their strategy and rethink tactics in real-time before they’re forced to feel the wrath of a drowning market. Usertesting remains a powerhouse of a tool because it helps researchers not only understand the “what” but also the “why” behind the way people utilize products.

 

In the end, not only is this model of research critical to listening to your market but in times of uncertainty, it can very well mean the difference of making it out unscathed or crashing and burning to the product ground. 

 

Author

Other Resources in this Series

Most Recent

The Ultimate Guide to Explaining Your Data Findings
Article

The Ultimate Guide to Explaining Your Data Findings

Without context or explanation, data is little more than numbers and statistics on a computer screen, right? Or, if you’re really retro, figures on a paper spreadsheet! As a data practitioner, you need to describe...
Category: Data Science
Article

10 Ways to Communicate Data Findings Effectively

There’s a popular joke in data circles that you might have already heard: Data practitioners spend 80% of their time preparing data and 20% complaining about preparing data. The truth is, there’s much more to...
Category: Data Science
How to Communicate Data Insights to Business Stakeholders
Article

Comprehensive Guide: How to Communicate Data Insights to Business Stakeholders

Data analysis is about more than crunching numbers. You need communication skills as sharp as your technical abilities to drive real impact. When you’re presenting findings to stakeholders, making complex insights clear and credible is...
Category: Data Science
Flying the Profitable Skies: A Sneak Peek at How Airline Loyalty Programs Really Work
Article

Flying the Profitable Skies: A Sneak Peek at How Airline Loyalty Programs Really Work

“The data is there; it’s about making it actionable.” – Mark Ross-Smith  Have you ever wondered how you could help airlines extract more value from their loyalty programs? Or questioned how they rake in billions...
Category: Data Science
Article

Harmonizing Data and Storytelling: Miriam Quick's Creative Approach to Data and Visualizations

In a world overflowing with data, Miriam Quick believes it is crucial to interpret this information in ways that are meaningful and accessible. Quick is helping to democratize data through data and visualizations.
Category: Data Science

OTHER ArticleS

The Ultimate Guide to Explaining Your Data Findings
Article

The Ultimate Guide to Explaining Your Data Findings

Without context or explanation, data is little more than numbers and statistics on a computer screen, right? Or, if you’re really retro, figures on a paper spreadsheet! As a data practitioner, you need to describe...
Category: Data Science
Article

10 Ways to Communicate Data Findings Effectively

There’s a popular joke in data circles that you might have already heard: Data practitioners spend 80% of their time preparing data and 20% complaining about preparing data. The truth is, there’s much more to...
Category: Data Science

Sign up to stay up to date on the latest industry best practices.

Sign up to received invites to upcoming webinars, updates on our recent podcast episodes and the latest on industry best practices.

Subscribe

Subscribe

Training on Your Schedule

Fill out the form today and our sales team will help you schedule your private Pragmatic training today.